Torsten Scholak

In a former life, Torsten was a theoretical physicist and spent his life hacking together simulations of complex quantum systems, mostly in Python and C. More recently, he has been dedicating his time to data science and, in particular, Bayesian probabilistic modeling. Torsten lives in Toronto with his wife, and enjoys contributing to the local Meetup scene.

Presentations

Intro to Bayesian Machine Learning with PyMC3 and Edward

Thursday 9 a.m.–12:20 p.m. in Room 6