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. 102+ episodes and counting.
Our Shows
Each series serves a different audience. Pick the one that matches where you are.
75 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
27 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.
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.
What the Prefect-Dagster Merger Means for Your Orchestration Stack
with David Yaffe, Estuary
Estuary CEO David Yaffe on why Prefect bought Dagster: the buyer shifted from data engineer to CIO, and agent governance is the real prize.
Why Biotech Talks About AI But Won't Pay for the Data It Needs
with John Androsavich, Ginkgo Datapoints
Ginkgo Datapoints GM John Androsavich on why biotech underfunds the biological data its AI needs, and what $199 ADME testing changes.
How Welocalize Made an AI Agent Earn Its Way Into Production
with Matthew Sekac, Welocalize
Welocalize's Matthew Sekac and Ross Katz on proving agentic AI in production: shadow testing, human-in-the-loop review, and benchmarking against human error.
Physical AI for Drug Discovery: Beyond Language Models
with Woody Sherman, PsiThera
PsiThera founder Woody Sherman on why LLMs stall at the molecule, what physical AI means, and why quantum-mechanical representation is the whole game.
The Consulting-Lab Land Grab: What Sits Above the Model
with Ross Katz & Jason Bradwell
Ross Katz and Jason Bradwell on why AI labs, consultancies, and PE firms are converging on the space between a model and a business outcome.
Featured Guests From
Data leaders from 83+ 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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