Data in Biotech
Data in Biotech brings data leaders from across biotech, pharma, and life sciences into honest conversations about how their organizations actually use data. Host Ross Katz talks with directors, VPs, and heads of data about the real challenges: building data cultures in regulated environments, scaling analytics teams, and turning experimental data into business decisions. Over 58 episodes, the show has featured leaders from companies like Lyell Immunopharma, Recursion, and Tempus.
Hosted by Ross Katz
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Episodes
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AI to Monitor Neurological Disorders with Annemie Ribbens
with Annemie Ribbens, VP Science, Evidence and Trials at icometrix
Annemie Ribbens of icometrix discusses using AI to monitor neurological disorders, analyze medical imaging, and improve drug development outcomes.
Real-World Data for Clinical Trials with Lana Denysyk
with Lana Denysyk, Head of RWD Assets at Novo Nordisk
Lana Denysyk of Novo Nordisk discusses real-world data strategy for clinical trials, RWD acquisition and integration, and common pitfalls to avoid.
Knowledge Graphs in Biopharma with Cody Schiffer
with Cody Schiffer, Associate Director, Machine Learning at Sumitomo Pharma America
Cody Schiffer of Sumitomo Pharma discusses knowledge graphs in biopharma, using LLMs to process unstructured data, and applications in drug discovery.
Overcoming Data Fragmentation in Healthcare
with Vera Mucaj, Chief Scientific Officer at Datavant
Vera Mucaj of Datavant discusses privacy-preserving data linkage, improving longitudinal studies, and using AI to enhance healthcare data quality.
Machine Learning and Quality Control in Biotech Manufacturing
with James Winegar, CEO at CorrDyn
James Winegar, CEO of CorrDyn, on applying machine learning to quality control workflows in biotech manufacturing and unlocking operational data.
Solving Reproducibility Challenges with LLMs in Biotech
with Harry Rickerby, Co-Founder at Briefly Bio
Harry Rickerby of Briefly Bio on using LLMs to structure experimental protocols and improve reproducibility, collaboration, and consistency in life sciences.
Managing Data as a Biotech Start-up with Jesse Johnson
with Jesse Johnson, Founder at Merelogic
Jesse Johnson discusses data management challenges for biotech start-ups, the need for modular tools, digital twins in the lab, and the role of LLMs.
Data Challenges in Immuno-Oncology with Tommy Tang
with Ming (Tommy) Tang, Director of Computational Biology at Immunitas Therapeutics
Ming "Tommy" Tang discusses data challenges in immuno-oncology, the role of cloud computing, and strategies for growing a computational biology team.
Reducing Dropout Rates in Clinical Trials
with Miguel Cacho Soblechero, Data Scientist at Prolaio
Miguel Cacho Soblechero discusses how data science reduces clinical trial dropout rates, mitigates risk, and how wearables improve patient monitoring.
Data Science and Diagnostic Models with Michelle Wiest
with Michelle Wiest, Director of IVD Biostatistics at Freenome
Michelle Wiest of Freenome discusses the role of biostatistics in diagnostic development, data biases, and preparing data for FDA regulatory review.
Why Experimental Design in Biotech Is Broken
with Markus Gershater, CSO and Co-Founder at Synthace
Markus Gershater of Synthace discusses what is broken about experimental design in biotech and the opportunity for automation and multifactorial experiments.
Fighting Cancer with Data Science and CAR-T Therapies
with Pradeep Ravindra, Data Scientist at Lyell Immunopharma
Pradeep Ravindra of Lyell Immunopharma discusses how data analytics supports CAR-T cell therapy manufacturing and building data-driven cultures in biotech.
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