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Artwork for Data in Biotech

Data in Biotech

CorrDyn
Biotechnology
Clinical Trials
Machine Learning
Drug Discovery
Drug Development
Data Science
Artificial Intelligence
Real World Data
Precision Medicine
Bioanalysis
Pharmaceutical Industry
Bioprocessing
Mass Spectrometry
Generative AI
AI In Drug Discovery
AI Workloads
Data Integration
Life Sciences
Data Fragmentation
Gene Editing

Data in Biotech is a fortnightly podcast exploring how companies leverage data to drive innovation in life sciences.

Every two weeks, Ross Katz, Principal and Data Science Lead at CorrDyn, sits down with an expert from the world of biotechnology to understand how they use data science to solve technical challenges, streamline operations, and further innovation in their business.

You can learn ... more

PublishesTwice monthlyEpisodes70Founded3 years ago
Number of ListenersCategories
TechnologyLife SciencesScience

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Artwork for Data in Biotech

Latest Episodes

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: h... more

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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 accelerat... more

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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 bi... more

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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... more

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Recent Guests

Jesse Johnson
Founder of Merelogic
Merelogic
Episode: Data as a Moat: Why Biotech's Most Valuable Asset is Buried in a Hard Drive
Michelle Wiest
Director of IVD Biostatistics at Freenome
Freenome
Episode: Data Science and Diagnostic Models - the What, Why and How with Michelle Wiest
Kevin Brown
Founder/CEO of Standard Model Bio
Standard Model Bio
Episode: The Patient is Not a Document: Foundation Models for Biomedical AI with Standard BioModel
Robert Abel
Chief Scientific Officer, Platform at Schrödinger
Schrödinger
Episode: Physics, Free Energy, & Drug Discovery: Inside Schrödinger's Computational Platform
Ben Locwin
Biotech executive and AI/analytics expert
Independent consultant (biotech)
Episode: AI in biotech: separating hype from reality with Ben Locwin
James Yoder
CEO of OpenBench
OpenBench
Episode: Success-Driven Drug Discovery with OpenBench CEO James Yoder
Eshani Galermo
Staff scientist at Sciex with a Ph.D. in Analytical Chemistry and experience in bioanalytical workloads.
Sciex
Episode: Revolutionizing bioanalysis with high-resolution mass spec
Aliza Apple
VP of Catalyze360 AI and global head of TuneLab at Eli Lilly
Eli Lilly
Episode: How Eli Lilly’s new platform TuneLab codevelops AI models with biotech
Yaron David
CTO and co-founder of BioRaptor.
BioRaptor
Episode: How BioRaptor is Modernizing Bioprocessing Workflows

Host

Ross Katz
Principal and Data Science Lead at CorrDyn; host of Data in Biotech

Reviews

4.9 out of 5 stars from 32 ratings
  • A data podcast for biotech

    Data can be messy and it is great to learn from the guests how they use data in biotech for drug development. Ross the host is very knowledgeable himself in data and the conversations are very insightful!

    Apple Podcasts
    5
    Crazyhottommy
    United States3 years ago
  • Great, very accessible podcast

    I’m far from an expert in advanced data and analytics but loved this podcast! Learned a lot and found it to be accessible even to people like me who like data but aren’t deeply technical in the methods of data science. Well done, looking forward to future episodes.

    Apple Podcasts
    5
    Asgrow1333
    United States3 years ago
  • Data in Biotech

    The podcast clearly delineated the myriad of applications for data collection and analysis in biotech. The information was clearly understandable for even a nonprofessional in the field.

    Apple Podcasts
    5
    Lapidii
    United States3 years ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

Great for non-experts who like data but aren't deep into methods.
Clear delineation of data applications in biotech and drug development.
Data-focused, accessible, and insightful discussions with practical takeaways.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Talking Points

Recent interactions between the hosts and their guests.

Data as a Moat: Why Biotech's Most Valuable Asset is Buried in a Hard Drive
Q: How do biotech organizations navigate the foundation model landscape to decide which models or combinations to use for their tasks?
We're in the early days with varied adoption; firms should balance molecular, cellular, and clinical model endpoints, and consider how data strategy, SOPs, and flexible data capture will feed models now and scale as adoption grows.
Data as a Moat: Why Biotech's Most Valuable Asset is Buried in a Hard Drive
Q: Here's a question biotechs encounter more and more frequently.
The guest explains that biology data is often collected in batches and varies across experiments, making consistent, scalable data infrastructure challenging; foundation models can help by learning from multi-endpoint data and enabling better data integration and predictive capabilities.
The Patient is Not a Document: Foundation Models for Biomedical AI with Standard BioModel
Q: How do you handle multiple modalities in the model architecture and ensure robustness when some data are missing?
Each modality has its own encoder (e.g., language models for EHR notes, vision transformers for images). We project these into a shared latent space, and the model can operate even if some modalities are missing, which mirrors real-world clinical settings where data are sporadic.
The Patient is Not a Document: Foundation Models for Biomedical AI with Standard BioModel
Q: What does it mean that the patient is not a document, and why is text-centric modeling limiting?
Text alone loses a lot of information contained in images, signals, and measurements. By mapping different modalities into a shared space, we preserve richer context and enable the model to reason about patient trajectories over time rather than just predicting the next word in a note.
The Patient is Not a Document: Foundation Models for Biomedical AI with Standard BioModel
Q: Can you give us an introduction to Standard Model Bio and how you think differently about foundation models for biology?
We need multiple modalities and data scale, plus critical domain expertise that remains essential for downstream tasks. Instead of building a single monolithic model that does everything, we aim for a system that creates a rich embedding of each patient from diverse data types and then uses this embedding to support various downstream tasks.

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Frequently Asked Questions About Data in Biotech

What is Data in Biotech about and what kind of topics does it cover?

The show centers on how data and analytics power biotech and life sciences, featuring interviews with data scientists, researchers, and industry leaders who explain real-world applications from drug discovery to manufacturing. Episodes highlight practical use of AI, ML, and advanced analytics to accelerate development, improve quality, and streamline operations, often emphasizing data-driven decision making, collaboration between biotech and tech, and the regulatory considerations that accompany innovation. A potential listener should find actionable insights into analytics-driven workflows, data infrastructure, and how data strategy shapes biotech outcomes, with several episodes offering concrete examples and vendor-neutral discussions tha... more

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Which podcasts are similar to Data in Biotech?

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1. The Long Run with Luke Timmerman
2. Biotech Hangout
3. The Readout Loud
4. Radiolab
5. Freakonomics Radio

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Data in Biotech launched 3 years ago and published 70 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on Data in Biotech?

Recent guests on Data in Biotech include:

1. Jesse Johnson
2. Michelle Wiest
3. Kevin Brown
4. Robert Abel
5. Ben Locwin
6. James Yoder
7. Eshani Galermo
8. Aliza Apple

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