Alp Kucukelbir


About

for everyone:
Most machine learning technologies are mysterious black boxes; they are hard to understand and even harder to trust. I specialize in a type of machine learning that is more interpretable and explainable — “white box” solutions that are easier to use in the real world.
for academics:
I develop statistical machine learning models and probabilistic programming methods. In my research, I focus on approximate Bayesian inference algorithms.

I work with David Blei. I also collaborate with Andrew Gelman on the Stan probabilistic programming system. I obtained my Ph.D. under the supervision of Hemant Tagare at Yale University. (My thesis won best thesis award.)

Here are a few of my recorded talks:

My last name is pronounced “cue-choo-kell-beer.”


Publications


Courses