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.97+ episodes and counting.
Our Shows
Each series serves a different audience. Pick the one that matches where you are.
72 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
25 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.
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.
Similar Keynote, Different Platforms: Snowflake vs. Databricks
with Ross Katz & Jason Bradwell
Ross Katz and Jason Bradwell on why Snowflake and Databricks built the same keynote around context, and what the ontology race means for platform strategy.
Synthesizable by Design: AI for Small Molecule Drug Discovery
with Paul Finn, Oxford Drug Design
Oxford Drug Design's Paul Finn on synthesizability as a first-class constraint, why chemistry is harder for AI than biology, and what to ask AI vendors.
Credence Goods, Junior Cuts, and the Audit Value Chain
with Ross Katz & Jason Bradwell
Ross Katz and Jason Bradwell on what AI is doing to the Big Four: compressing audit's middle, transforming junior roles, and repricing judgment.
From Tissue to Mechanism to Decision: AI for Computational Oncology
with Arvind Rao, University of Michigan
Arvind Rao of Michigan on SPIFEE and the tumor microenvironment, multimodal AI from tissue to drug target, and why clinical AI needs credentialing.
If AI Can Do the Work, What Are Clients Actually Paying For?
with Ross Katz & Jason Bradwell
Ross Katz and Jason Bradwell on what clients actually pay for when AI can produce the deliverable: verifiability, recoverability, and what compounds.
Featured Guests From
Data leaders from 80+ 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.
Frequently Asked
Questions
Who hosts the CorrDyn podcasts?
What topics do the podcasts cover?
How often are new episodes released?
Where can I listen to the podcasts?
Are transcripts available for podcast episodes?
Get your free
proposal.
Tell us about your challenges. We will be honest about whether we can help.
- No pitch decks. We start by listening.
- Discovery calls are free.
- We respond within one business day.
Or email us directly at [email protected]
Message sent
Thanks for reaching out. We typically respond within one business day.
Something went wrong. Please try again or email us at [email protected].