Crazy Rich Bayesians

Bayesian Modeling, Machine Learning, Behavior Analytics and Startups

About This Blog

Bayesian Modeling, Machine Learning, Behavior Analytics and Startups

Crazy Rich Bayesians is the personal blog of Daniel Emaasit. This blog's name is inspired by the title of the Hollywood movie Crazy Rich Asians.Get it...? It rhymes. emoji-joy

Daniel Emaasit

I am a Data Scientist at Haystax in Washington, D.C. My interests involve developing principled probabilistic models for problems where training data are scarce by leveraging knowledge from subject-matter experts and context information. In particular, I am interested in flexible probabilistic machine learning methods, such as Gaussian processes and Dirichlet processes, and data-efficient learning methods such as Bayesian optimization & Model-based Reinforcement Learning.

I am the creator of Pymc-learn, a library for practical probabilistic machine learning in Python.

I am also a Ph.D. Candidate of Transportation Engineering at UNLV where my research in nonparametric Bayesian methods is focused on developing flexible-statistical models for traveler-behavior analytics.