Machine Learning Engineer with a PhD in Applied Mathematics – Jake Ryland Podcast Episode 3



A great conversation with my friend Patrick Bardsley. He has a PhD in Applied Mathematics and works as a machine learning engineer. We talk about how to succeed in school, the transition out of academia, and the day to day as a machine learning engineer.

Sign up for the ‘2.0 to 4.0 Masterclass’ – https://www.jakeryland.com/service-page/2-0-to-4-0-masterclass?referral=service_list_widget

Check out my book! – https://amzn.to/45rQXOT

0:00 Intro / Patrick’s background
2:45 Why Patrick chose Mathematics
9:00 Patrick’s studying process
15:40 Patrick’s exam prep process
20:40 What Patrick struggled with
32:25 What to do when you hit the wall
38:42 Making time for exercise
42:30 Discussion on procrastination
46:00 Best lifelines for math
50:20 Why Masters and PhD?
53:40 Patrick’s thesis
1:00:00 Thoughts on joining academia and moving into industry
1:03:00 Patrick’s first career as a quant
1:09:00 Patrick’s transition to machine learning engineer
1:15:00 Patrick’s day to day work
1:24:50 Patrick’s advice for students

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