Data in Biotech is a fortnightly podcast about how companies use data to drive innovation in the life sciences. Host Ross Katz, Principal and Data Science Lead at CorrDyn, speaks with biotechnology experts about applying data science to technical challenges, operational efficiency, and business innovation. The show is produced by CorrDyn, an enterprise data specialist. More information is available at corrdyn.com.
Episodes
Blind Tests, Compliance Templates, and Design Over Prediction: Inside AION Labs
Four rival pharma companies build AI startups together. The science is rarely what decides which ones succeed.
You've built a model that works on public data. Now pharma wants a security review, a test you can't design yourself, and proof your tool fits a program they already run.
Yair Benita is CTO of AION Labs, a venture studio owned by Teva, Merck, Pfizer, AstraZeneca and AWS that builds
How Twist Bioscience Synthesizes 32 Million DNA Sequences a Day for AI Drug Discovery
AI can design a molecule in seconds, however someone still has to build it and test it before it means anything.
You're pouring resources into AI-driven molecule design, but nobody on your team has answered the harder question: can you actually make what the model just designed?
Patrick Finn is President and Chief Operating Officer of Twist Bioscience, a company writing DNA on silicon chips
How Standardized Cell Labeling Could Fix Biotech's Data Problem
Flow cytometry can find a cell population in seconds, but naming it consistently across labs is a problem still unsolved.
If you've ever tried to compare cytometry data across studies, CROs, or even two scientists in the same lab, you know the frustration: everyone gates their own way, and the same cell population ends up with three different definitions. That inconsistency is quietly limiti
DrugBank CEO: Why Your AI Model Is Only Giving You Half the Answer
Ask a general AI model how many approved drugs hit a target, and it might tell you three when the real answer is six, sounding just as confident either way.
If your team is grounding drug discovery decisions in AI output with no way to trace where the answer came from, you're one regulator's question away from a very expensive problem.
Lisa Downey is CEO of DrugBank, a structured biomedical
How to Identify the Blind Spots in Your Biotech's Genomic Data Before They Cost You a Drug Target
Most drug discovery genomic data comes from a thin slice of the world, and that bias follows every decision downstream.
Your team can run a Mendelian randomization study on 35,000 patients and still walk away with a single signal that doesn't even apply to the population you care about. If your phenotype definitions are fuzzy, more data won't save you.
Erika Kvikstad is a computational biol
How to Turn Single-Cell Data Into a New Class of Cell-Depleting Therapies
Why treating the cell, not the protein, could turn chronic disease treatment into something closer to a cure.
You've built single-cell pipelines that spit out clusters, p-values and target lists, but nothing that survives contact with the clinic. What if the clustering method itself is quietly leading you astray?
Adam Freund is Founder and CEO of Arda Therapeutics, a biotech using single-ce
Why Biotech Talks About AI But Won't Pay for the Data It Needs
Everyone in biotech agrees AI needs more data. Almost no one is willing to pay for it.
If you're trying to build or buy a biotech AI model, you've hit the same wall: predictive performance depends on data your budget doesn't cover, and nobody in the field seems willing to close that gap.
John Androsavich runs Ginkgo Datapoints, the bio AI data arm of Ginkgo Bioworks. He trained as an RNA sc
Beyond Language: Why Drug Discovery Needs Physical AI, Not Just Large Language Models
In this episode of Data in Biotech, host Ross Katz sits down with Woody Sherman, Founder and Chief Innovation Officer at PsiThera, for a conversation on why AI can transform drug discovery's paperwork and code while barely touching the hardest part of the problem: the molecules themselves. Woody's career runs through physical chemistry at MIT; over a decade at Schrödinger building tools the i
Synthesizable by Design: Rethinking AI's Role in Small Molecule Drug Discovery
In this episode of Data in Biotech, host Ross Katz sits down with Paul Finn, Chief Scientific Officer at Oxford Drug Design, for a conversation on what it actually takes to find a drug molecule that works not just on paper but also in the lab, in the cell, and, ultimately, in the clinic. Paul brings four decades of experience across what became GSK, Pfizer, and a series of Oxford-area spinout
From Tissue to Mechanism to Decision: Building AI for Computational Oncology
In this episode of Data in Biotech, host Ross Katz sits down with Arvind Rao, Professor of Computational Medicine and Bioinformatics at the University of Michigan, for a discussion on the gap between what biomedical AI can do and what it can reliably be trusted to do in clinical practice. Arvind's research sits at the intersection of computational oncology and AI governance and his lab works
Cavities in the Data: Building FDA-Cleared AI for Dental Imaging with Overjet
In this episode of Data in Biotech, host Ross Katz sits down with Sadegh Salehi, Director of Research and Principal Scientist at Overjet, to explore what rigorous model evaluation actually looks like when the stakes are clinical.
Overjet builds FDA-cleared vision models that detect and quantify dental disease across billions of X-ray images from thousands of practices - a data problem with
Data as a Moat: Why Biotech's Most Valuable Asset is Buried in a Hard Drive
In this episode of Data in Biotech, host Ross Katz sits down with Jesse Johnson, founder of Merelogic, a software consulting firm specializing in data infrastructure for biotech organizations.
Jesse brings a rare perspective to the conversation: having built data systems at Google where engineers control the data collection function end to end, before moving into biotech, where the biology
The Patient is Not a Document: Foundation Models for Biomedical AI with Standard BioModel
In this episode of Data in Biotech, host Ross Katz sits down with Kevin Brown, co-founder of Standard BioModel, to explore one of the most ambitious projects in biomedical AI, building a multimodal foundation model that represents the full complexity of a patient across time.
Drawing on a career spanning brain-computer interfaces, computer-aided diagnosis at Siemens Healthineers, and oncolo
Physics, Free Energy, & Drug Discovery: Inside Schrödinger's Computational Platform
In this episode of Data in Biotech, Ross Katz sits down with Robert Abel, Chief Scientific Officer of the Platform at Schrödinger, to explore how physics-based computational modeling is transforming drug discovery.
Robert unpacks why machine learning alone isn't enough to navigate the vast complexity of chemical space - an estimated at 10⁶⁰ possible drug-like molecules - and how integrating
AI in biotech: separating hype from reality with Ben Locwin
In this episode of Data in Biotech, host Ross Katz sits down with Ben Locwin, Vice President at Reliant Life Sciences, to explore the evolving landscape of artificial intelligence in biotechnology.
Join us as we discuss why nearly every biotech claims to use AI but few actually do, examine successful applications like AlphaFold, and explore the challenges of implementing AI across drug deve
3D Printing Therapeutics at Scale with Aprecia Pharmaceuticals
In this episode of Data in Biotech, Ross Katz sits down with Kyle Smith and Jacob Mayer from Aprecia Pharmaceuticals to explore how 3D printing is transforming pharmaceutical manufacturing. They dive into the unique binder jetting process, in-cavity printing, and how real-time data and automation are enabling agile, scalable, and precise drug production. Discover how Aprecia's approach is cha
Success-Driven Drug Discovery with OpenBench CEO James Yoder
In this episode of Data in Biotech, host Ross Katz sits down with James Yoder, Founder and CEO of OpenBench, to unpack a radical new approach to early-stage drug discovery. James shares how OpenBench's "success-driven" model shifts risk away from biotech partners by only charging for validated hits. They dive deep into computational screening, molecular modeling, and the company's evolving te
Brant Peterson on Valo Health’s patient-first approach to drug discovery
Brant Peterson, Vice President & Fellow at Valo Health, joins Data in Biotech to explore how his team leverages real-world data, genetic insights, and machine learning to de-risk drug discovery. From building causal DAGs to identifying patient subtypes in neurodegenerative diseases like Parkinson’s, this episode dives deep into a patient-first, data-driven approach to biomedical innovatio
Inside Dash Bio’s productized CRO model with Ander Tallet
Ander Tallet, co-founder and COO of Dash Bio and CEO of DigitalRadius, joins Ross Katz to discuss transforming the traditional CRO model through automation, transparency, and productization. Drawing on deep experience from Moderna, Science Exchange, and his leadership roles in digital transformation, Ander shares how Dash Bio is slashing turnaround times, improving data quality, and simplifyi
From discovery to delivery: AI’s impact on nanomedicine
In this episode of Data in Biotech, Ross Katz chats with Mitra Mosharraf, Chief Scientific Officer at HTD Biosystems, about how AI and machine learning are revolutionizing nanomedicine. They explore the use of AI in drug discovery, formulation, manufacturing, and clinical development, highlighting how data-driven strategies are improving safety, reducing costs, and enabling more personalized
Jaidev Chakka on building the future of bioprinted medicine
In this episode of Data in Biotech, Ross Katz chats with Jaidev Chakka, Principal Scientist at the University of Mississippi School of Pharmacy, about how 3D bioprinting and AI are reshaping pharmaceutical manufacturing. They explore the development of custom scaffolds for tissue engineering, the integration of gene delivery systems, and how data-driven approaches are enabling smarter, more s
From screening to IND: How Veloxity accelerates critical drug decisions
In this episode of Data in Biotech, Ross Katz sits down with Callie Celichowski and Isa Kupke from Veloxity Labs to discuss how their CRO leverages speed, precision, and innovation to support drug development. Learn how they use mass spectrometry, cloud-based infrastructure, and hands-on client partnerships to drive rapid, high-quality bioanalytical insights that support everything from precl
Revolutionizing bioanalysis with high-resolution mass spec
In this episode of Data in Biotech, host Ross Katz sits down with Eshani Galermo, Staff Scientist at SCIEX, to explore the next generation of mass spectrometry in pharma and biopharma. Eshani explains how innovations like the ZenoTOF 8600 are redefining sensitivity, selectivity, and workflow efficiency in bioanalytical chemistry. Discover how high-resolution accurate mass (HRAM) systems are u
Mastering solubility and stability in drug development with Serán BioScience
In this episode of Data in Biotech, Ross Katz chats with Wesley Tatum, Principal Engineer at Serán BioScience, about the intricacies of formulating low-solubility drug products. They explore the science behind amorphous solid dispersions, how data informs formulation choices, and why balancing performance, manufacturability, and stability is critical in modern drug development.
What you'll l
Applying ML/AI to Drug Development with Anil Kane
Dr. Anil Kane, Global Head of Technical & Scientific Affairs at Thermo Fisher Scientific, joins Ross Katz to discuss how AI, machine learning, and digital tools are reshaping drug development. From predictive modeling for formulation to digital manufacturing efficiencies, discover how data-driven approaches are reducing time, cost, and complexity in pharma innovation.
What You'll Learn i
Streamlining bioanalytical workflows with Watson LIMS and Thermo Fisher
In this episode of Data in Biotech, host Ross Katz sits down with John Liberty, Senior Bioanalysis Technical Sales Consultant at Thermo Fisher Scientific. They dive deep into how Watson LIMS™ supports regulated bioanalysis workflows, the evolving role of lab automation, and how Connect Enterprise aims to unify biotech digital ecosystems.
What you'll learn in this episode:
>> Why Watso
Scaling AI infra in biotech with Saturn Cloud and Nebius
Discover how biotech and healthcare teams are fast-tracking research and development through AI and high-performance cloud infrastructure. Ross Katz sits down with Hugo Shi of Saturn Cloud and Ilya Burkov of Nebius to explore scalable, secure solutions for GPU-heavy AI workloads. From compliance to cost savings, this episode unpacks what it takes to innovate at scale in life sciences.
What Y
The Future of Co-Folding and Federated Learning with Apheris
Robin Rohm, CEO and Co-Founder of Apheris, joins Ross Katz to explore how federated learning is unlocking secure, cross-company collaboration in pharma. Discover how Apheris is enabling biopharma leaders to train cutting-edge co-folding models without sharing sensitive data, why AlphaFold 3 wasn’t enough, and what OpenFold 3 means for the future of AI in drug discovery.
What You'll Learn i
Automating biopharma knowledge work with Convoke
What if biotech teams could automate the most information-intensive parts of bringing a drug to market? In this episode of Data in Biotech, host Ross Katz speaks with Convoke co-founders Alex Telford and Maged Ahmed about building an AI-native knowledge acquisition and curation system for biopharma. Learn how they're transforming clinical research, regulatory writing, and competitive intellig
How Eli Lilly’s new platform TuneLab codevelops AI models with biotech
Dr. Aliza Apple, VP of Catalyze360 AI/ML at Eli Lilly, joins Ross Katz to unveil TuneLab—a first-of-its-kind federated learning platform accelerating preclinical drug discovery. Learn how Lilly’s billion-dollar models are empowering early-stage biotechs, the science behind federated learning, and what this means for the future of pharmaceutical R&D.
What You'll Learn in This Episode:
Inside Merck's Computational Biology Approach with Jesper Ryge
In this episode of Data in Biotech, host Ross Katz talks with Jesper Ryge, Director of Computational Biology at Merck Germany. Jesper shares his journey from neuroscience labs to leading computational teams, offering deep insights into disease modeling, target discovery, and multi-omics integration. Discover how AI and spatial transcriptomics are shaping the future of pharma R&D.
What
Where Biotech Innovation Really Happens: 50th Episode Special with Wolfgang Halter, Jacob Oppenheim, and Dave Johnson
To mark our 50th episode, host Ross Katz brings back three visionary leaders—Dave Johnson (Dash Bio), Wolfgang Halter (Merck Life Science), and Jacob Oppenheim (RAVen)—together for a reflection on the evolution of biotech. They unpack the realities behind AI hype, the future of data-driven innovation, and what’s really changing in drug development.
What You'll Learn in This Episode:
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How BioRaptor is Modernizing Bioprocessing Workflows
In this episode of Data in Biotech, Yaron David, CTO and Co-Founder of BioRaptor, joins host Ross Katz to explore how biotech companies can gain a holistic view of bioprocessing through real-time data integration, visualization, and modeling. Learn how BioRaptor’s full-stack platform helps scientists replace clunky spreadsheets with actionable insights—accelerating experiments and optimizing
Modernizing Clinical Data Analysis with Jesse Paquette
In this episode of Data in Biotech, Jesse Paquette, co-founder and Chief Science Officer of Tag.bio, joins Ross Katz to explore how data mesh architecture and FAIR data principles are transforming clinical and research workflows in life sciences. From harmonizing legacy systems to enabling AI-readiness, Jesse shares how Tag.bio empowers domain experts to make data-driven decisions faster and
Building Scalable Data Platforms for Spatial Biology with Kenny Workman of LatchBio
In this episode of Data in Biotech, Ross Katz sits down with Kenny Workman, co-founder and CTO of LatchBio, to unpack how biotech’s data infrastructure must evolve to meet the demands of next-gen assays. From scalable workflows to high-performance visualization tools, Kenny breaks down the shift from traditional biotech to a future defined by data-driven research and agile cloud platforms.
Solving Chronic Disease with Life Insurance and Data Featuring Jeremy Shane
Entrepreneur Jeremy Shane joins host Ross Katz to discuss Life for Health, a revolutionary framework aiming to tackle chronic disease through the integration of life insurance, longitudinal data, and preventative care.
From drug discovery feedback loops to outcomes-based pricing, Shane outlines a bold new path for biotech and healthcare convergence.
What You'll Learn in This Episode:
Wh
How Etiome Is Redefining Preemptive Medicine with Scott Lipnick
In this episode of Data in Biotech, host Ross Katz sits down with Scott Lipnick, Co-Founder and President of Etiome, to explore how preemptive medicine is changing the way biotech approaches therapeutic modeling and intervention.
Discover how Etiome’s recently launched, AI-driven platform is built to detect disease earlier, identify precise biomarkers, and create stage-specific treatments—a
Transforming Houseplants with Synthetic Biology with Patrick Torbey
In this episode of Data in Biotech, host Ross Katz speaks with Patrick Torbey, CEO and Co-Founder of Neoplants, about using genetic engineering and microbiome innovation to tackle indoor air pollution. Patrick explains how Neoplants is turning everyday houseplants into powerful air purifiers using synthetic biology, offering insights into VOC degradation, enzyme pathways, and data-driven R&am
How Phage Therapy is Scaling to Meet Antibiotic Resistance with Jessica Sacher
Phage therapy is stepping into the spotlight as antibiotic resistance rises - and Jessica Sacher is helping lead the charge. In this episode, Ross Katz speaks with Jessica, Co-Founder of Phage Directory and Staff Scientist at Stanford, about sourcing phages, operationalizing therapy, and predicting efficacy through data. This conversation explores how personalized phage therapy works, its sca
Targeting Transcription Factors with AI, featuring Will Fondrie from Talus Bio
How do you drug the undruggable? In this episode of Data in Biotech, Ross Katz sits down with Will Fondrie, Head of Data Science and Engineering at Talus Bio, to explore how machine learning, mass spectrometry, and innovative computational models are transforming drug discovery. Learn how Talus Bio is targeting transcription factors—once considered out of reach—with scalable, high-impact data
Decoding the Dark Proteome: Biological Insights for Pharma with Dr. Jonathan Usuka from Sapient
In this episode of the Data and Biotech Podcast, host Ross Katz sits down with Dr. Jonathan Usuka to discuss Usuka’s extensive background in bioinformatics and genomics, leading to his current role as CEO of Sapient.
The conversation dives into the importance of deep molecular characterization of diseases, the role of proteomics and metabolomics in drug discovery, and the gaps between real-
How AI Can Increase Clinical Trial Efficiency with Patrick Leung from Faro Health
How can AI improve clinical trials and accelerate drug development?
In this episode of Data in Biotech, Ross Katz sits down with Patrick Leung, CTO of Faro Health, to explore how AI-driven tools are reshaping clinical trial design. Patrick shares insights into document generation, patient burden analysis, and AI governance in biotech.
Learn how Faro Health is developing clinical protocols
Organoids and Active Learning for Chronic Disease with Naren Tallapragada
In this episode of Data In Biotech, Ross Katz interviews Naren Tallapragada, CEO and Co-founder of Tessel Bio, about his background in electrical engineering and physics and how personal circumstances led to him pivoting his focus to enter biotech and start Tessel Bio.
Naren breaks down Tessel Bio’s unique approach to drug discovery, which involves "reverse engineering" chronic diseases. Ins
How Alex Junge from amass is Speeding Up Scientific Breakthroughs with AI
In this episode of the Data and Biotech Podcast, host Ross Katz sits down with Alexander Junge, Co-Founder and CTO of amass, to break down how AI is reshaping scientific research in life sciences.
Alex walks us through how his platform is creating professional tools for researchers, biotech companies, and venture firms to navigate the (rapidly!) growing breadth and depth of scientific knowl
Advancing Therapeutic Design in Gene and Cell Therapy with Dipen Sangurdekar
In this episode of Data in Biotech, Ross sits down with Dipen Sangurdekar, VP of Data Sciences at KSQ Therapeutics, to discuss the role of data-driven approaches in therapeutic design and development. The conversation explores the intersection of computational biology, machine learning, and bioinformatics in advancing personalized medicine and improving patient outcomes.
Dipen shares his jou
Democratizing Therapeutic Discovery for Neglected Diseases using AI with Timothy Jenkins of DTU Bioengineering
This week on Data in Biotech, we welcome Timothy Jenkins, the Head of Data Science and Associate Professor at DTU Bioengineering, a leading scientific community dedicated to advancing areas of biotechnology, food technology, and health through innovative teaching and research.
Timothy starts the conversation by walking us through his background and early career beginnings, from the first ti
Revolutionizing Drug Discovery with AI: Fred Manby of Iambic Therapeutics
In this episode, Ross Katz sits down with Fred Manby, Co-Founder and Chief Technology Officer of Iambic Therapeutics, to explore how cutting-edge AI technologies are reshaping the landscape of drug discovery. From building advanced machine learning platforms to designing user-friendly interfaces for scientists, Fred shares insights into the company’s approach to tackling some of the biggest c
Unlocking the Power of AI in Microscopy with Ilya Goldberg and Reese Findley
In this episode of Data in Biotech, Ross Katz explores the transformative role of AI in microscopic imaging and life sciences with Ilya Goldberg, Chief Science Officer, and Reese Findley, an AI Data Scientist at ViQi.
They discuss the cutting-edge applications of AI in automating high-content screening (HCS), enabling more efficient drug discovery, and unraveling complex biological processe
Reflections & Predictions: One Year of Data in Biotech with Ross Katz
In this episode of Data in Biotech, Ross Katz reflects on what he’s learned from one year of hosting the podcast. Diving deep into the intersection of data science and biotechnology, this episode covers topics like:
The need for predictive models in biotech that are grounded in real-world experimentation.The challenges of biases in model evaluation and designing experiments that maximize col
From Moderna to Dash Bio - Revolutionizing Drug Development with Dave Johnson
In this episode of Data in Biotech, Ross Katz sits down with Dave Johnson, CEO and co-founder of Dash Bio, a next-gen drug development services company with a mission to revolutionize clinical bioanalysis and streamline drug development.
Dave begins the episode by taking us back to the early research days in Moderna, where he helped lay the groundwork for mRNA technology, which later enabled
Chitrang Dave on Harnessing Real-Time Data to Transform MedTech and Healthcare
This week, Chitrang Dave, Global Head of Enterprise Data & Analytics at Edwards Lifesciences, joins us to discuss the transformative power of real-time data, AI, and collaboration in medical device manufacturing and support.
He and host, Ross Katz, dive into how real-time data from IoT devices is reshaping quality assurance in medtech and what the future holds for medtech as big tech pl
Automating Bioprocessing to Speed up Workflows with Invert
This week on Data in Biotech, we’re joined by Martin Permin, the co-founder of Invert, a company that builds software that automates bioprocessing.
Martin talks us through his own unique journey into biotech - starting from a role at Airbnb - through to co-founding Invert. Invert helps users grab data from their instruments, map out their individual processes, clean up the data for analysis,
The Evolution of Genomic Analysis with Sapient
This week on Data in Biotech, we’re joined by Mo Jain, the Founder and CEO of Sapient, a biomarker discovery organization that enables biopharma sponsors to go beyond the genome to accelerate precision drug development.
Mo talks us through his personal journey into the world of science, from school to working in academia to founding his business, Sapient.
He explains how and why Sapient f
Transforming Drug Discovery through AI and Single-Cell Multiomics with Cellarity
This week on Data in Biotech, we are joined by Parul Bordia Doshi, Chief Data Officer at Cellarity, a company that is leveraging data science to challenge traditional approaches to drug discovery.
Parul kicks off the conversation by explaining Cellarity’s mission and how it is using generative AI and single-cell multiomics to design therapies that target the entire cellular system, rather t
Using Generative AI to Design New Therapeutic Proteins with Evozyne
This week on Data in Biotech, Ryan Mork, Director of Data Science at Evozyne, joins host Ross Katz to discuss how data science and machine learning are being used in protein engineering and drug discovery.
Ryan explains how Evozyne is utilizing large language models (LLMs) and generative AI (GenAI) to design new biomolecules, training the models with huge volumes of protein and biology data.
Balancing Software-Driven Processes and Human Curation to Unlock Genomics Intelligence with Genomenon
This week on Data in Biotech, Ross is joined by Jonathan Eads, VP of Engineering at genomics intelligence company Genomenon, to discuss how his work supports the company’s mission to make genomic evidence actionable.
Jonathan explains his current role leading the teams focused on clinical engineering, curation engineering, platform development and overseeing Genomenon’s data science and AI e
Optimizing Allogeneic Cell Therapy Manufacturing with Atara Biotherapeutics
This week on Data in Biotech, we’re joined by Amy Gamber, VP of Manufacturing at Atara Biotherapeutics, an allogeneic T-cell immunotherapy company developing off-the-shelf treatments to help achieve faster patient outcomes.
As a treatment that sits at the cutting edge of options available for cancer and autoimmune disease, host Ross Katz explores how Atara is able to deliver personalized med
A Look Back on Design of Experiments
It's a holiday week here in the U.S., and the CorrDyn team is currently getting together for our annual company retreat. So, we decided to do something a little different this week.
We're re-releasing abridged versions of two of our most popular episodes.
These are dedicated to a critical workflow at the intersection of data and scientific research - Design of Experiments.
Across these int
Giving Biotech Organizations a ‘Digital Brain’ with Scispot
This week on Data in Biotech, we’re delighted to be joined by Guru and Satya Singh, co-founders of SciSpot, a company focused on transforming biotech companies through smarter embodiment of biological processes in data/software and acceleration of the R&D process.
They discuss how their respective biotech and data backgrounds led them to develop the platform and their very personal motiv
Delivering AI-Driven Drug Development with Generate:Biomedicines
This week, Ross sits down with Mike Nally, CEO at Generate:Biomedicines, a pioneer in generative biology that is transforming the way medicines are developed. Mike joined the Data in Biotech podcast to discuss the AI-driven drug development landscape and how data is set to change the way every drug is made in the future.
Mike shares his journey to Generate:Biomedicines, motivated by the ambi
Solving Data Integration Challenges in Life Sciences with Ganymede
This week, Nathan Clark, CEO at Ganymede, joins the Data in Biotech podcast to discuss the challenges of integrating lab instruments and data in the biotech industry and how Ganymede’s developer platform is helping to automate data integration and metadata management across Life Sciences.
Nathan sits down with Data in Biotech host Ross Katz to discuss the multiple factors that add to the com
The Power of Open-Source Pipelines for Scientific Research with Harshil Patel
This week, Harshil Patel, Director of Scientific Development at Seqera, joins the Data in Biotech podcast to discuss the importance of collaborative, open-source projects in scientific research and how they support the need for reproducibility.
Harshil lifts the lid on how Nextflow has become a leading open-source workflow management tool for scientists and the benefits of using an open-sour
Improve Quality and Minimize Variability in Biotech Manufacturing with Stewart Fossceco
This week, we are pleased to have Stewart Fossceco, Head of Non-Clinical and Diagnostics Statistics at Zoetis and an expert in pharmaceutical manufacturing, join us on the Data in Biotech podcast.
We sat down with Stewart to discuss implementing and improving Quality Assurance (QA) processes at every stage of biotech manufacturing, from optimizing assay design and minimizing variability in e
Delivering on the Promise of Electronic Lab Notebooks with SciNote
This week, we are pleased to welcome to the Data in Biotech podcast Brendan McCorkle, CEO of SciNote, a cloud-based ELN (Electronic Lab Notebook) with lab inventory, compliance, and team management tools.
In this episode, we discuss how the priorities of ‘Research’ and ‘Development’ differ when it comes to the data they expect and how they use it, and how ELNs can work to support both functi
Developing Future Sustainable Materials Using AI with Cambrium
This week, we are pleased to be joined on the Data in Biotech Podcast by Pierre Salvy, who recently became the CTO at Cambrium, and his colleague Lucile Bonnin, Head of Research & Development at Cambrium.
As part of the Cambrium team behind NovaColl™, the first micro-molecular and skin-identical vegan collagen to market, Pierre and Lucile share their practical experiences of using AI to
Building Strong Data Foundations for Biotech Startups with Jacob Oppenheim
This week, we are pleased to welcome Jacob Oppenheim, Entrepreneur in Residence at Digitalis Ventures, a venture capital firm that invests in solutions to complex problems in human and animal health.
Jacob sat down with Ross to discuss the importance of establishing strong data foundations in biotech companies and how to approach the task. We explore the challenges biotech organisations face
How OmicSoft Is Facilitating In-Depth Exploration Among NGS Datasets
This week's guest is Joseph Pearson, Global Product Manager of OmicSoft at QIAGEN, a global provider of sample-to-insight solutions that enable customers to gain valuable molecular insights.
During this episode, we dive into OmicSoft, a powerful NGS analysis suite that can quickly explore and compare 500,000 curated omics samples from disease-related studies. Joseph outlines the challenges
How Bayesian Optimization is Helping to Accelerate Innovation at Merck Group
This week's guest is Wolfgang Halter, Head of Data Science and Bioinformatics at Merck Life Science, a leading global science and technology company.
Ross sat down with Wolfgang to discuss the work on the BayBE project, an open-source library built for Bayesian optimization. Throughout the episode, we go on to learn how BayBE is used for both experimental design and as a means to accelerate
Transforming Care for Neurological Disorders Through Artificial Intelligence with Annemie Ribbens
This week, we’re delighted to be joined by Annemie Ribbens, VP Science, Evidence and Trials at icometrix, a medical technology manufacturer that offers a portfolio of AI solutions to assist healthcare with various challenges in neurological disorders, such as brain trauma, strokes, dementia, and Alzheimer's disease.
During this episode, Annemie opens up on icometrix’s mission in analyzing an
The Applications of Real-World Data in Biotech with Lana Denysyk
This week, we’re delighted to be joined by Lana Denysyk, Head of RWD Assets at Novo Nordisk.
During this conversation, Lana shares how real-world data is used in biotech, diving into how it can help clinicians understand patient experiences outside clinical trials. Lana also discusses the challenges in acquiring and utilising real-world data, the importance of having a centralised team to ma
The Role of Knowledge Graphs in Biopharma with Cody Schiffer
This week, we’re delighted to be joined by Cody Schiffer, Associate Director, Machine Learning at SMPA - a biopharmaceutical company focused on delivering therapeutic and scientific breakthroughs in areas of critical patient need,
During this conversation, Cody and Ross discuss the construction, maintenance, and application of a knowledge graphic in biopharma, including how to integrate stru
Overcoming Data Fragmentation in Healthcare with Vera Mucaj
This week, we’re delighted to be joined by Vera Mucaj, Chief Scientific Officer at Datavant, a data logistics company for healthcare.
During the interview, Vera shares how the organization helps companies overcome issues of data fragmentation and availability, which ultimately leads to better decision-making in healthcare, the importance of connecting clinical trial data with real-world data
Machine Learning and Quality Control in Biotech Manufacturing with James Winegar
Data in Biotech is a fortnightly podcast exploring how companies leverage data innovation in life sciences.
This week, we’re delighted to be joined by James Winegar, CEO of CorrDyn, a data-driven technology consultancy that helps some of the largest biotechnology manufacturers in the US make smarter strategic decisions by unlocking the value of their data.
In this conversation, James and Ro
Solving Reproducibility Challenges in Biotech with Harry Rickerby
Data in Biotech is a fortnightly podcast exploring how companies leverage data innovation in life sciences.
This week, we’re delighted to be joined by Harry Rickerby, Co-founder of Briefly Bio, a groundbreaking platform he's developing to streamline experimental design in life sciences using large language models (LLMs).
Host Ross Katz speaks with Harry about how LLMs are used to facilitat
Jesse Johnson on Bridging the Data Gap in Biotech Startups
Data in Biotech is a fortnightly podcast exploring how companies leverage data innovation in life sciences.
This week, we’re delighted to be joined by Jesse Johnson, Founder of Merelogic, a consultancy service for biotech startups who want to get their data under control so they can focus on the science.
Host Ross Katz speaks with Jesse about the importance of data in biotech startups, the
Tommy Tang on Building a Dry Lab Team, Selecting the Right Tools, and When to Use ML in Bioinformatics
Data in Biotech is a fortnightly podcast exploring how companies leverage data to drive innovation in life sciences.
This week, we're delighted to be joined by Tommy Tang, Director of Computational Biology at Immunitas Therapeutics - an immuno-oncology therapeutics company advancing multiple programs to the clinic.
Host Ross Katz speaks with Ming “Tommy” Tang about the scalability of the c
The Future of Clinical Trials: How Data, AI and ML Will Improve Healthcare with Miguel Cacho Soblechero
Data in Biotech is a fortnightly podcast exploring how companies leverage data to drive innovation in life sciences.
This week, we're delighted to be joined by Miguel Cacho Soblechero, Ph.D., a senior data scientist at Prolaio - a biotech company that integrates clinical research and data science to improve research, access and outcomes for people with heart conditions.
Host Ross Katz spea
Data Science and Diagnostic Models - the What, Why and How with Michelle Wiest
This week, we're delighted to be joined by Michelle Wiest, Director of IVD Biostatistics at Freenome - a high-growth biotech company that creates tools to help prevent, detect, and treat disease.
Host Ross Katz speaks with Michelle on the use of biostatistics in the field of diagnostics, what biases can corrupt diagnostic tests and how to catch them early, the different types of data sets th
Markus Gershater on Why Experimental Design in Biotech is Broken and How to Fix It
This week, we're delighted to be joined by Markus Gershater, Chief Scientific Officer and CoFounder of Synthace - a digital experiment platform built for high-performance life science R&D teams to help them run more powerful experiments and accelerate scientific progress.
Host Ross Katz speaks with Markus on what’s broken about:
What’s broken about how laboratories across the globe run
Fighting Cancer with Data Science and CAR-T Therapies with Pradeep Ravindra
This week we’re excited to be joined by Pradeep Ravindra, Associate Director, Data Analytics, Manufacturing from Lyell Immunopharma.
He shares his story on transitioning from military intelligence to life sciences analytics, the role of data analytics in manufacturing and delivering CAR-T therapies, and how to foster a culture of data-driven decision-making and collaboration within a biotech
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