451: Translating PhD Research into ML Applications

Dan Shiebler joins us to discuss his category theory Ph.D. program, his full-time job at Twitter, and how the two crossover and combine in his overall data work.

An episode of the Super Data Science: ML & AI Podcast with Jon Krohn podcast, hosted by Jon Krohn, titled "451: Translating PhD Research into ML Applications" was published on March 11, 2021 and runs 76 minutes.

March 11, 2021 ·76m · Super Data Science: ML & AI Podcast with Jon Krohn

Summary

Dan Shiebler joins us to discuss his category theory Ph.D. program, his full-time job at Twitter, and how the two crossover and combine in his overall data work. In this episode you will learn: Dan’s neuroscience undergrad and MATLAB [4:12] Dan’s Ph.D. timeline and research [14:01] How to start a Ph.D. while working full time [22:45] Dan’s work at TrueMotion and label data [30:39] Dan’s title and role at Twitter [39:15] Specific projects at Twitter [44:09] What skills someone should bring to a Twitter job interview [52:06] What machine learning approaches will be important in the future? [1:00:38] Additional materials: www.superdatascience.com/451

Episode Description