Ian Pan, MD, is a Kaggle Grandmaster, radiologist resident at the Brigham and Women’s Hospital, and a rising star in the medicine and AI field.
Kaggle competitions are international data science competitions that are both very competitive and prestigious. We talk about Ian's path to medicine and AI as well as the various strategies he’s used to become one of the top coders globally in this burgeoning new field. Ian also gives some great advice on how to get started and we close with some of his exhortations against poor practices in ML today.
This interview was a lot of fun and if you are curious about Kaggle competitions or how to be the best at them, this interview is for you.
Time-Stamps
6:20 Initial interests in Radiology
12:50 2018 Pneumonia detection Kaggle challenge
17:55 Domain expertise not necessary for AI learning
20:18 How to approach an AI challenge
25:23 The structure of Ian's Kaggle-winning models
28:58 What sets Ian's models apart
32:30 Non-medicine endeavors
37:40 Coding Background
39:00 Should medical students learn to code
42:00 The future of AI in medicine
49:10 What’s next for Ian
54:07 Necessary changes to AI in medicine
57:15 Advice for medical students
---
Support this podcast: https://podcasters.spotify.com/pod/show/maml-podcast/support
