Super Data Science: ML & AI Podcast with Jon Krohn
The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact. Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy. We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercializa
WebsiteEvery guest on Super Data Science: ML & AI Podcast with Jon Krohn
244 guests, ranked by how many people never want them back.
-
—
Hadley Wickham
779: The Tidyverse of Essential R Libraries and their Python Analogues, with Dr. Hadley Wickham · 2 episodes
0 votes -
—
Harpreet Sahota
693: YOLO-NAS: The State of the Art in Machine Vision, with Harpreet Sahota · Jul 2023
0 votes -
—
Hugo Dozois-Caouette
922: AI for Manufacturing and Industry, with Hugo Dozois-Caouette · Sep 2025
0 votes -
—
Ilya Eremenko
020: Generation Z Insights, Data Privacy and SQL and Database Design with Ilya Eremenko · Jan 2017
0 votes -
—
Ingmar Schuster
739: AI is Eating Biology and Chemistry, with Dr. Ingmar Schuster · Dec 2023
0 votes -
—
Ish Shah
921: NPUs vs GPUs vs CPUs for Local AI Workloads, with Dell’s Ish Shah and Shirish Gupta · Sep 2025
0 votes -
—
Jacob Miller
993: How to Build AI-First Organizations, with Jacob Miller and Jeremy Mumford · May 2026
0 votes -
—
Jan Zawadzki
736: How to Officially Certify your AI Model, with Jan Zawadzki · Dec 2023
0 votes -
—
Jason Yosinski
789: ML for Wind-Powered Energy Generation, with Dr. Jason Yosinski · Jun 2024
0 votes -
—
Jazmia Henry
995: End-to-End Foundation Models for the Energy Industry, with Jazmia Henry · May 2026
0 votes -
—
Jeff Li
947: How to Get Hired at Top Firms like Netflix and Spotify, with Jeff Li · Dec 2025
0 votes -
—
Jen Underwood
018: 20 Years in Data Analytics, Entrepreneurship, and Megatrends in Data with Jen Underwood · Jan 2017
0 votes -
—
Jennifer K. Hill
838: Consciousness and Machines, with Jennifer K. Hill · Nov 2024
0 votes -
—
0 votes
-
—
Jeroen Janssens
885: Python Polars: The Definitive Guide, with Jeroen Janssens and Thijs Nieuwdorp · May 2025
0 votes -
—
Jerry Yurchisin
1015: Mathematical Optimization in the Agentic AI Era, with Gurobi's Jerry Yurchisin · 4 episodes
0 votes -
—
Jes Allen
500: Yoga Nidra with Jes Allen · Aug 2021
0 votes -
—
Jess Ramos
839: Double Your Data Salary in 11 Months, with Jess Ramos · Nov 2024
0 votes -
—
John Elder
391: Data Science Campfire Tales with John Elder · Aug 2020
0 votes -
—
John Renne
1039: AI for Real Estate, Walkable Cities and Climate Action, with Prof. John Renne · Oct 2026
0 votes -
—
John Roese
953: Beyond “Agent Washing”: AI Systems That Actually Deliver ROI, with Dell’s Global CTO John Roese · 2 episodes
0 votes -
—
Jonathan Flint
547: How Genes Influence Behavior — with Prof. Jonathan Flint · Feb 2022
0 votes -
—
Joseph Balsamo
842: Flexible AI Deployments Are Critical, with Chris Bennett and Joseph Balsamo · Dec 2024
0 votes -
—
Josh Clemm
951: Context Engineering, Multiplayer AI and Effective Search, with Dropbox’s Josh Clemm · Dec 2025
0 votes -
—
Josh Coulson
033: Building a Personal Brand in Data Science with Senior Insights Manager Josh Coulson · Mar 2017
0 votes -
—
Josh Starmer
553: The Statistics and Machine Learning Quests of Dr. Josh Starmer · Mar 2022
0 votes -
—
Julia Silge
817: The Positron IDE, Tidy NLP and MLOps with Dr. Julia Silge · Sep 2024
0 votes -
—
Julien Launay
913: LLM Pre-Training and Post-Training 101, with Julien Launay · Aug 2025
0 votes -
—
0 votes
-
—
Katie Malone
1029: How AI Brought a Podcast Back From the Dead, with Linear Digressions’ Katie Malone · Sep 2026
0 votes -
—
Keith McCormick
828: Are “Citizen Data Scientists” A Myth? With Keith McCormick · Oct 2024
0 votes -
—
Ken Jee
555: Sports Analytics and 66 Days of Data with Ken Jee · Mar 2022
0 votes -
—
Kevin Hu
541: Data Observability — with Dr. Kevin Hu · Jan 2022
0 votes -
—
Kimberly Deas
025: Women in STEM, Bench Science to Data Science and Data and Medical Ethics w/ Kimberly Deas · Feb 2017
0 votes -
—
Kirill Eremenko
1001: How AI Erased My Career Moat, an Episode #1001 Special: Jon Krohn interviewed by Kirill Eremenko · 8 episodes
0 votes -
—
Kishore Subramanian
986: Building Hardware is Hard but AI Agents Help, with Kishore Subramanian · Apr 2026
0 votes -
—
Kyunghyun Cho
977: Attention, World Models and the Future of AI, with Prof. Kyunghyun Cho · Mar 2026
0 votes -
—
Larissa Schneider
932: Should You Build or Buy Your AI Solution? With Larissa Schneider · Oct 2025
0 votes -
—
Lauren Zhu
549: Engineering Natural Language Models — with Lauren Zhu · Feb 2022
0 votes -
—
Laurens van der Maaten
709: Big A.I. R&D Risks Reap Big Societal Rewards, with Meta's Dr. Laurens van der Maaten · Aug 2023
0 votes
Recent episodes
1042 episodes from the feed, newest first.
-
1041: Connection Is Not Cognition: Why Multi-Agent Systems Silently Fail, with Dr. Vijoy PandeyNov 2026
with Vijoy Pandey
-
1040: Cybersecurity for the Agentic AI Era, with Amy BlackshawOct 2026
with Amy Blackshaw
-
1039: AI for Real Estate, Walkable Cities and Climate Action, with Prof. John RenneOct 2026
with John Renne
-
1038: AI’s Contentious Math BreakthroughsOct 2026
-
1037: Recursive Self-Improvement: The Eureka Machine, with Dr. Richard SocherOct 2026
with Richard Socher
-
1036: Is AI Holding Kids Back from Learning?Oct 2026
-
1035: Workslop, Glass Cliffs and Inviting Your Fears to Tea, with Carly TaylorOct 2026
with Carly Taylor
-
1034: In Case You Missed It in September 2026Oct 2026
-
1033: Workslop: The Hidden Cost of AI-Generated Work, with Prof. Jeff Hancock and Dr. Kate NiederhofferOct 2026
with Jeff Hancock
-
1032: Agents Need 10x More Data Than Humans, with Salesforce’s CDO Michael AndrewOct 2026
with Michael Andrew
-
1031: Tokenomics: Why Your Agentic AI Bill Is Exploding (and How to Fix It), with Tyler Cox and Ish ShahSep 2026
with Tyler Cox
-
1030: Garbage In, Gospel Out: Why Agents Need Better Data, with Salesforce's Gaurav PathakSep 2026
with Gaurav Pathak
-
1029: How AI Brought a Podcast Back From the Dead, with Linear Digressions’ Katie MaloneSep 2026
with Katie Malone
-
1028: The Chip Built for Agentic AI Inference, with SambaNova's Anton McGonnellSep 2026
with Anton McGonnell
-
1027: Building an Always-On AI Agent for Busy Parents, with Dr. Dilani KahawalaSep 2026
with Dilani Kahawala
-
1026: OpenAI’s GPT-6 AstraSep 2026
-
1025: Word Gravity: How Transformers Bend Space, with Dr. Luis SerranoSep 2026
with Luis Serrano
-
1024: In Case You Missed It in August 2026Sep 2026
-
1023: Agentic AI Skills That Matter Now, with Aishwarya SrinivasanSep 2026
with Aishwarya Srinivasan
-
1022: CLAUDE.md, AGENTS.md, Skills, Hooks and Subagents: A Field Guide to Steering AI AgentsAug 2026
-
1021: How dbt Won Analytics Engineering, with dbt Lab’s CEO Tristan HandyAug 2026
with Tristan Handy
-
1020: How to Choose Model Size and Effort Level: The Two Critical DialsAug 2026
-
1019: Anyone Can Write Code Now, So What Gets You Hired? (With Priyanka Vergadia)Aug 2026
with Priyanka Vergadia
-
1018: Alibaba's Qwen3.8-Max: Open-Weight Model Surpasses Most American Frontier LabsAug 2026
-
1017: Vector Search, Agentic Memory and Effective RAG, with MongoDB’s Pete JohnsonAug 2026
with Pete Johnson