Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
Introduction
00:00 • 2min
How Did You Get Interested in Machine Learning?
02:13 • 3min
What Was Your Experience With the PhD?
04:51 • 3min
Did You Have a PhD in Computer Science?
07:29 • 2min
Did You End Up Finishing Your PhD?
09:15 • 2min
Why Did You Choose Not to Return to Your PhD?
11:00 • 2min
Is There an Easier Way to Go Between Academic and Industry?
12:51 • 2min
The Intersection of Machine Learning and Biology
14:47 • 3min
The Dynamics of Machine Learning in Biology
17:43 • 4min
ImmunAI
21:56 • 2min
How Do You Make Machine Learning Engineers Work for You?
24:17 • 2min
ML Plus Biology - Are There Any Challenges?
26:14 • 3min
Is Automation the Main Driver of Productivity?
28:46 • 3min
How Machine Learning Can Really Solve Problems Not Solved Before
31:50 • 2min
Is There Much Work Around Interpretability in Machine Learning for Biology?
33:45 • 2min
Machine Learning - What's Next for You?
35:43 • 2min
Is There a Future for ML?
37:32 • 4min
AlphaFold - What's Next for Deep Learning?
41:37 • 2min