Super Data Science: ML & AI Podcast with Jon Krohn
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, commercialization, and entrepreneurship − everything you need to crush it with data science.
Episodes
Mentioned books
35 snips
May 12, 2026 • 1h 9min
991: Pair Programming with AI in Your Python Notebook, with Dr. Trevor Manz
Dr. Trevor Manz, researcher and engineer behind AnyWidget and Marimo, talks about teaching coding agents to control reactive Python notebooks. He explains Marimo Pair, how skills teach agents to read and run notebook cells, and the promise of recursive language models. He also covers bridging Python and web front ends and why deep curiosity fuels impactful tool building.
35 snips
May 8, 2026 • 11min
990: Inside Mythos: Anthropic's Locked-Down Frontier Model
A look at an AI model so good at finding software flaws it was kept from general release. Discussion covers how its code-reasoning skills led to dramatic exploit-finding gains and massive Firefox vulnerability patches. The conversation also explores a gated defender consortium, commercial and geopolitical implications, and practical advice for securing AI-generated code.
11 snips
May 5, 2026 • 1h 4min
989: Security for Mythos-Era Agentic Risks, with Rubrik’s Anneka Gupta and Cal Al-Dhubaib
Cal Al-Dhubaib, Principal Technologist who builds trust engineering for AI, and Anneka Gupta, Rubrik’s Chief Product Officer focused on cyber resilience and AI governance, discuss AI-driven security risks. They cover how agentic systems find and exploit vulnerabilities, why zero trust and least-privilege matter, Rubrik’s Agent Cloud, SAGE policy enforcement, and Agent Rewind for remediation.
33 snips
May 1, 2026 • 36min
988: In Case You Missed It in April 2026
Traci Walker-Griffith, a K–8 principal bringing AI into classrooms; Linda Haviv, a creator lowering barriers to no-code AI; Matt Glickman, CEO scaling data engineering with agents; Richmond Alake, an AI dev-ex lead exploring agent memory. They discuss agent memory types, data-engineering agents at scale, democratizing AI tooling, and classroom AI projects and literacy.
34 snips
Apr 28, 2026 • 1h 18min
987: AI Infrastructure, Ray, and Why Nonlinear Careers Win, with Linda Haviv
Linda Haviv, AI infrastructure practitioner and former AnyScale developer advocate who also creates tech education content. She talks about staying current in AI, why system thinking may outgrow pure coding, the power of nonlinear career paths and side projects, and how open source is closing the gap with proprietary AI models.
18 snips
Apr 24, 2026 • 30min
986: Building Hardware is Hard but AI Agents Help, with Kishore Subramanian
Kishore Subramanian, CTO of Propel Software and former Google Assistant engineer, discusses building Propel One AI and enterprise agents on Salesforce Agent Force 360. He covers how PLM and QMS support hardware teams. He explains agentic automation for reviews, security tradeoffs, and practical steps to ship AI tools. He also shares how yoga and meditation sharpen creative leadership.
111 snips
Apr 21, 2026 • 1h 4min
985: The Four Types of Memory Every AI Agent Needs, with Richmond Alake
Richmond Alake, Oracle’s Director of AI Developer Experience and creator of the 100 Days of Agent Memory, discusses agent memory systems. He explains four memory types, why RAG alone falls short, and how memory fits into the broader agent stack. He also covers engineering tradeoffs, memory-first harnesses, and Oracle’s unified AI database tools.
23 snips
Apr 17, 2026 • 29min
984: Building AI Agents Where 99.9% Accuracy Isn't Good Enough, with Raju Malhotra
Raju Malhotra, Chief Product and Technology Officer at Certinia, leads product and AI agent initiatives tied to Salesforce. He discusses building enterprise-grade AI agents, AgentForce 360’s stack for grounded context and reasoning, why SaaS plus agents expands opportunity, and practical impacts like productivity gains and deterministic guardrails for finance workflows.
69 snips
Apr 14, 2026 • 1h 13min
983: AI in the Classroom: How a Top Elementary School Is Doing It Right, with Principal Traci Walker Griffith
Traci Walker Griffith, principal who turned the Elliott School from near-closure into Boston’s top K–8, describes how her team uses AI to speed writing feedback and boost multilingual and special-needs learners. She explains teacher-facing and student-facing workflows, prompt iteration, ethical and access decisions, and how AI fits into larger STEM and project-based learning.
54 snips
Apr 10, 2026 • 44min
982: In Case You Missed It in March 2026
Lin Xiao, CEO of Fireworks AI, on autonomous intelligence and continual model customization for enterprises. Chris Fregly, AI performance engineer and author, on AI coding assistants, performance workflows, and evaluation-driven development. Kyunghyun Cho, NYU professor, on world models, latent dynamics, and embodied agents. Zack Kass, author and education commentator, on personalized learning and educational reform.
