Podcast artwork thumbnail for Data in Biotech

Data in Biotech

Ross Katz

Booking Overview

This fortnightly interview podcast focuses on data science, artificial intelligence, and biotechnology, typically featuring biotech founders, CEOs, senior pharmaceutical leaders, and computational biology experts. PR agencies could credibly pitch biotech executives, drug-discovery innovators, genomic-data specialists, and leaders in biomedical AI with substantial technical or commercial experience; booking difficulty is medium because guests generally hold senior industry or research positions.

Metrics

Episodes: 80

Frequency: Every two weeks

Rating: 5.0/5.0

Estimated listeners: 100 - 1,000

Listener location: USA

Contact Information

Publicly listed emails

info@corrdyn.com

jason.bradwell@corrdyn.com

hi@code.com

Looking for the right person? Join Podseeker to find direct host and producer contacts and manage your podcast outreach.

Host

Ross Katz - Principal and Data Science Lead at CorrDyn, an enterprise data specialist focused on helping organizations make smarter strategic decisions.

Booking Intelligence

Booking Requirements

medium
Typical Credentials:  
Biotech founders and CEOs, senior pharmaceutical or data-science executives, computational biologists, drug-discovery innovators, and researchers with deep expertise in genomics, AI, or computational chemistry.
Required Achievements:  
Founded or led a biotechnology or biomedical data company, Held senior leadership or principal investigator roles at established pharmaceutical, life-sciences, or technology organizations, Developed drug-discovery platforms, genomic-data programs, or computational methods with practical industry applications, Advanced therapeutic programs, data products, or scientific technologies toward clinical or commercial use

Recent Guest Discussions

Lisa Downey - Trustworthy Data Grounding For Ai-driven Drug Discovery, Biomedical Knowledge Graphs, Data Reproducibility, Curation, And Reference Data Infrastructure.

Erika Kvikstad - Bias In Genomic Data, Precision Medicine, Biobank Limitations, Mendelian Randomization, Phenotype Definition, Data Vendors, And Globally Representative Genomic Infrastructure.

Adam Freund - Single-cell And Spatial Transcriptomics, Causal Cell Targets, Cell-depleting Therapies, Statistical Pitfalls In Single-cell Analysis, And Translational Drug Discovery.

John Androsavich - Biotech Data Economics, Automated Testing, Single-cell Foundation Models, Data-generation Strategy, Autonomous Laboratories, And Ai-driven Drug Discovery.

Woody Sherman - Physical AI For Drug Discovery, Quantum-mechanical Molecular Representations, Small-molecule Design, Computational Chemistry, Model Limitations, And Integrating Computational And Experimental Data.

Recent Topics

Science, Biotechnology, Drug Discovery, Artificial Intelligence, Genomics

Episodes

Here's the recent few episodes on
Data in Biotech
:

How Twist Bioscience Synthesizes 32 Million DNA Sequences a Day for AI Drug Discovery

October 14, 2026

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 at a scale of roughly 32 million distinct oligonucleotides a day. Under his leadership, Twist has bec...

How Standardized Cell Labeling Could Fix Biotech's Data Problem

September 30, 2026

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 limiting what AI can do with biotech data. Ryan Brinkman is VP Research Director of Flow Cytometry Bioinfor...

DrugBank CEO: Why Your AI Model Is Only Giving You Half the Answer

September 17, 2026

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 intelligence platform cited in more than 60,000 papers and used by nine of the top 20 global pharma c...

Similar Podcasts

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Data in Biotech
:

The Genetics Podcast · High booking difficulty · 1,000 - 10,000 listeners

Core Memory · High booking difficulty · 1,000 - 10,000 listeners

Talking Biotech with Dr. Kevin Folta · Medium booking difficulty · 1,000 - 10,000 listeners

Frequently asked questions

Here's some frequently asked questions for
Data in Biotech
:

How do I get in touch with Data in Biotech?

Data in Biotech is hosted by Ross Katz. Its publicly listed emails are info@corrdyn.com, jason.bradwell@corrdyn.com, and hi@code.com. For guest bookings, the host or producer is usually the best person to reach. Podseeker helps you find direct host and producer contacts and pitch from your own inbox.

What is the email for Data in Biotech?

The publicly listed emails for Data in Biotech: info@corrdyn.com, jason.bradwell@corrdyn.com, and hi@code.com.

How many listeners does Data in Biotech have?

Podseeker estimates Data in Biotech reaches 100 to 1,000 listeners per episode. Only the publisher has exact numbers.

Who is an ideal guest for Data in Biotech?

Data in Biotech typically books industry leaders. Typical guest background: Biotech founders and CEOs, senior pharmaceutical or data-science executives, computational biologists, drug-discovery innovators, and researchers with deep expertise in genomics, AI, or computational chemistry. Common among recent guests: Founded or led a biotechnology or biomedical data company; Held senior leadership or principal investigator roles at established pharmaceutical, life-sciences, or technology organizations; Developed drug-discovery platforms, genomic-data programs, or computational methods with practical industry applications. Recent guests include Lisa Downey, Erika Kvikstad, and Adam Freund.

How hard is it to get booked on Data in Biotech?

Medium. Guests usually need solid credentials in the topic and an idea that fits the show.

What topics does Data in Biotech cover?

Recent episodes cover Science, Biotechnology, Drug Discovery, Artificial Intelligence, and Genomics. Pitch an idea tied to one of these topics and mention a recent episode.

Publicly listed emails

info@corrdyn.com

jason.bradwell@corrdyn.com

hi@code.com

Looking for the right person? Join Podseeker to find direct host and producer contacts and manage your podcast outreach.

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