Podcasts
Conversations with the people
building the data layer.
Two shows from CorrDyn. One explores how life sciences companies turn data into competitive advantage. The other cuts through hype in the broader data ecosystem. 107+ episodes and counting.
Our Shows
Each series serves a different audience. Pick the one that matches where you are.
77 episodesData in Biotech
How life sciences companies turn data into a competitive edge.
Honest, technical conversations about how biotech, pharma, and life sciences orgs actually use data — from ML pipelines and computational biology to manufacturing analytics and clinical reporting.
For
Directors, VPs, and heads of data inside life sciences companies, plus the practitioners building the platforms underneath them.
- Implementation specifics from people who have shipped: stack choices, team structure, what broke, what worked.
- Cross-functional context — how data work survives regulated environments, scientific stakeholders, and limited sample sizes.
- A working knowledge graph of who is doing what across the industry, episode by episode.
Hosted by Ross Katz · Guest interviews
30 episodesEventual Consistency
A practitioner's reality check on the modern data ecosystem.
Two CorrDyn principals translate the headlines — vendor moves, acquisitions, AI launches, pricing changes — into what they actually mean for the people running data platforms.
For
Data leaders and senior practitioners deciding what to adopt, what to ignore, and what to budget for next quarter.
- No vendor pitches. Two consultants saying what they actually think about the news this week.
- Coverage spans data engineering, analytics strategy, vendor landscape, and the business of running a team.
- Short enough for a commute, opinionated enough to share with your team in Slack.
Hosted by Ross Katz & James Winegar · Co-hosted discussion
Sample an Episode
Press play on a representative episode from each show — no platform required.
Data in Biotech
Foundation models in biomedical AI with Kevin Brown
Eventual Consistency
What MCP Means for Enterprise Data Strategy
Like what you hear?
The same team behind these conversations builds data platforms for companies like yours. Let's talk about what you're working on.
Get your free proposalLatest Episodes
Recent conversations from both series.
Why Nvidia's $13B Hugging Face Deal Was Never About Revenue
with Ross Katz & Jason Bradwell
Ross Katz and Jason Bradwell on why Nvidia paid $12.93B for Hugging Face, what owning AI demand gives it, and what enterprise teams should change.
DrugBank CEO: Why Your AI Model Gives You Half the Answer
with Lisa Downey, DrugBank
DrugBank CEO Lisa Downey on why AI models give confident, incomplete drug-target answers, and four questions to ask before building a grounding layer.
The $1 Million Threshold for Self-Hosting Open-Weight AI Models
with Ross Katz & Jason Bradwell
Ross Katz and Jason Bradwell on AT&T's open-weight bet, why routing produces most of the savings, and why self-hosting needs a $1M-a-year use case.
Genomic Data Bias, Fuzzy Phenotypes, and Drug Target Discovery
with Erika Kvikstad, Independent
Erika Kvikstad on how reference genome bias and fuzzy heart failure phenotypes erode GWAS power, real-world data value, and cardiovascular target discovery.
How to Build a Data Team Ready for AI Agents
with Ross Katz & Jason Bradwell
Ross Katz and Jason Bradwell on building a data team for AI agents: platform and distribution work for agents, warning signs, and build vs. buy vs. hire.
From Single-Cell Data to Cell-Depleting Therapies
with Adam Freund, Arda Therapeutics
Arda CEO Adam Freund on finding pathogenic cells in single-cell data, the chi-squared trap, and why depletion can replace daily dosing.
Featured Guests From
Data leaders from 85+ companies have joined the conversation.
Hosts
The same practitioners who run client engagements during the day.
Ross Katz
Principal & Data Science Lead
Ross sits at the nexus of strategy and data science, helping client leadership teams turn data into operating leverage rather than slide decks. Most of his work is in biotech and life sciences, e-commerce, and SaaS — sectors where the difference between a useful model and a shelved one comes down to translation between the data team and the people running the business.
James Winegar
Founder & Enterprise Architect
James is the original founder of CorrDyn, where he focuses on building secure, stable, and manageable infrastructure for clients with high ROI driven by automation. He has worked in technology for over a decade across education, research, legal, healthcare, finance, entertainment, banking, logistics, and consumer packaged goods. James also teaches Machine Learning at Scale and Machine Learning Operations at UC Berkeley and was technical editor for two books on Machine Learning with Python.
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