Jay is a PhD student at Arizona State University, researching on building Interpretable AI models for healthcare disorders like Alzheimer's disease and Post Traumatic Headache. In the past, he has interned at NTU-Singapore, HackerRank, Philips Research Labs and also worked with a Nobel Laureate (Frank Wilczek). Jay also hosts a podcast about Machine Learning for beginners which has now more than 50,000 downloads and 1,650+ subscribers and was also recently named an IEEE Impact Creator.
Social Media Links:
https://www.youtube.com/
https://www.linkedin.com/in/
https://twitter.com/jaygshah22
https://www.public.asu.edu/~
Video Timestamps:
0:00 - Guest Introduction
0:39 - Motivation for becoming an engineer
4:28 - Launching a YouTube about Machine Learning
9:02 - Figuring out how to scale a Podcast
11:10 - Attitude towards content creation
12:57 - Allowance for failure in Academia
15:16 - Using setbacks to collect data
16:59 - Medical imaging aspects and building Interpretable AI models for healthcare
20:13 - Democratization of AI
22:37 - Guest contact information
-Edited by Scott Michael Media
-Music Licensed via Soundstripe
Jay is a PhD student at Arizona State University, researching on building Interpretable AI models for healthcare disorders like Alzheimer's disease and Post Traumatic Headache. In the past, he has...