Podcast artwork thumbnail for Super Data Science: ML & AI Podcast with Jon Krohn

Super Data Science: ML & AI Podcast with Jon Krohn

Jon Krohn

Booking Overview

This is a technical interview show focused on machine learning, artificial intelligence, data science, and their business applications, with recurring external guests including senior technology executives, founders, researchers, and technical educators. PR agencies could credibly pitch AI and data infrastructure leaders, machine learning researchers, technical authors, and founders with substantive implementation or commercialization expertise; booking is likely high difficulty because the show targets recognized specialists and senior industry figures.

Metrics

Episodes: 1037

Frequency: Several times a week

Rating: 4.6/5.0

Estimated listeners: 1,000 - 10,000

Gender skew: Male

Listener location: USA

YouTube: 46.5k subscribers

Contact Information

Publicly listed emails

natalie@jonkrohn.com

podcast@superdatascience.com

Looking for the right person? Join Podseeker to find direct host and producer contacts and manage your podcast outreach.

Host

Jon Krohn - Data science educator and host focused on machine learning, artificial intelligence, analytics, and practical data applications.

Booking Intelligence

Booking Requirements

high
Typical Credentials:  
Senior executives, founders, technical researchers, and established educators with deep expertise in artificial intelligence, machine learning, data infrastructure, analytics, or practical technology implementation.
Required Achievements:  
Leadership of an AI, machine learning, data, or technology company, Development or commercialization of notable AI or data products, Advanced academic or research credentials in machine learning, computer science, physics, or a related technical field, Authorship of respected technical books, research, or educational material

Recent Guest Discussions

Anton McGonnell - Agentic AI Inference, Dataflow-processing-unit Architecture, AI Chip Performance, Inference Economics, Throughput, And Data-center Deployment.

Dilani Kahawala - Building Always-on Consumer AI Agents, Agent Evaluation Loops, Long-running Versus Turn-based Agents, Product Development, And Consumer AI Unit Economics.

Luis Serrano - Transformer Architecture, Attention And Representation Geometry, Large Language Model Workflows, AI Agent Evaluation, Reinforcement Learning, And Machine Learning Education.

Recent Topics

Technology, Artificial Intelligence, Machine Learning, Data Science, Analytics

Episodes

Here's the recent few episodes on
Super Data Science: ML & AI Podcast with Jon Krohn
:

1036: Is AI Holding Kids Back from Learning?

October 16, 2026

In Episode #1036, Jon Krohn digs into the question parents and teachers keep asking: does AI stop children from learning? Drawing on a wave of new studies, he shows the answer turns entirely on how AI is used, as a shortcut that outsources the thinking, or as a tutor that explains and gives feedback. Along the way: a 30,000-student natural experiment in China, a striking tutoring result from Turkey, and three practical takeaways that apply just as much to adults using AI at work. Additional ...

1035: Workslop, Glass Cliffs and Inviting Your Fears to Tea, with Carly Taylor

October 13, 2026

In Episode #1035, Carly Taylor (Founder of Rebel Data Science) returns to join Jon Krohn for a wide-ranging conversation about leading engineering teams when the ground keeps moving. Carly shipped nine Call of Duty titles in roughly five years at Activision, where she led game security, and has since been a director of engineering at Microsoft and Field CTO for gaming at Databricks. She is also one of the most entertaining people in data on LinkedIn, where more than 200,000 people follow post...

1034: In Case You Missed It in September 2026

October 09, 2026

In ICYMI Episode #1034, Jon Krohn moves from what sits underneath AI systems to what it takes to live with them every day. Hear from Aishwarya Srinivasan, Luis Serrano, Katie Malone, Ish Shah and Dilani Kahawala, discussing why the bottleneck in shipping software has moved from execution to judgment, how a physicist recast attention in transformers as words bending space, why years of managing people may be the best preparation for managing AI agents, how one weekend side project burned throu...

Similar Podcasts

Podcast(s) similar to
Super Data Science: ML & AI Podcast with Jon Krohn
:

Practical AI · Medium booking difficulty · 1,000 - 10,000 listeners

Dwarkesh Podcast · Very high booking difficulty · 10,000 - 100,000 listeners

Google DeepMind: The Podcast · Very high booking difficulty · 10,000 - 100,000 listeners

Vanishing Gradients · Medium booking difficulty · 100 - 1,000 listeners

The Artificial Intelligence Podcast · High booking difficulty · 100 - 1,000 listeners

Frequently asked questions

Here's some frequently asked questions for
Super Data Science: ML & AI Podcast with Jon Krohn
:

How do I get in touch with Super Data Science: ML & AI Podcast with Jon Krohn?

Super Data Science: ML & AI Podcast with Jon Krohn is hosted by Jon Krohn. Its publicly listed emails are natalie@jonkrohn.com and podcast@superdatascience.com. For guest bookings, the host or producer is usually the best person to reach. Podseeker helps you find direct host and producer contacts and pitch from your own inbox.

What is the email for Super Data Science: ML & AI Podcast with Jon Krohn?

The publicly listed emails for Super Data Science: ML & AI Podcast with Jon Krohn: natalie@jonkrohn.com and podcast@superdatascience.com.

How many listeners does Super Data Science: ML & AI Podcast with Jon Krohn have?

Podseeker estimates Super Data Science: ML & AI Podcast with Jon Krohn reaches 1,000 to 10,000 listeners per episode. Only the publisher has exact numbers.

Who is an ideal guest for Super Data Science: ML & AI Podcast with Jon Krohn?

Super Data Science: ML & AI Podcast with Jon Krohn typically books industry leaders. Typical guest background: Senior executives, founders, technical researchers, and established educators with deep expertise in artificial intelligence, machine learning, data infrastructure, analytics, or practical technology implementation. Common among recent guests: Leadership of an AI, machine learning, data, or technology company; Development or commercialization of notable AI or data products; Advanced academic or research credentials in machine learning, computer science, physics, or a related technical field. Recent guests include Anton McGonnell, Dilani Kahawala, and Luis Serrano.

How hard is it to get booked on Super Data Science: ML & AI Podcast with Jon Krohn?

High. It mostly books established leaders in its field.

What topics does Super Data Science: ML & AI Podcast with Jon Krohn cover?

Recent episodes cover Technology, Artificial Intelligence, Machine Learning, Data Science, and Analytics. Pitch an idea tied to one of these topics and mention a recent episode.

Publicly listed emails

natalie@jonkrohn.com

podcast@superdatascience.com

Looking for the right person? Join Podseeker to find direct host and producer contacts and manage your podcast outreach.

Get your clients booked on top podcasts

Try us risk free with a FREE 3 days trial.

Start Your Free Trial

Join hundreds of PR teams using Podseeker to pitch and land bookings