I am an assistant professor in the College of Computer and Information Science at Northeastern. I work on probabilistic programming frameworks, libraries that provide building blocks for model development in data science, machine learning, and artificial intelligence. I am one of the creators of the Anglican, a probabilistic programming system that is closely integrated with Clojure. I am currently developing of Probabilistic Torch, a library for deep generative models that extends PyTorch.
I did a post-doc in the group of Frank Wood at Oxford. I did a PhD in biophysics with Ray Goldstein (Cambridge) and Wim van Saarloos (Leiden). I have also worked on applications of machine learning in single-molecule biophysics at Columbia with Chris Wiggins and Ruben Gonzalez.
DEC 2017 ∙ Our extended abstract “Inference Trees: Adaptive Inference with Exploration” was accepted at the NIPS workshop on Advances in Approximate Bayesian Inference [website].
NOV 2017 ∙ I am teaching CS 7140 – Advanced Machine Learning this spring [website].
NOV 2017 ∙ I will speak at the AAAI 2018 Workshop on Planning and Inference in Februari [website]
SEP 2017 ∙ Our paper “Learning Disentangled Representations with Semi-Supervised Deep Generative Models” has been accepted for publication at NIPS [arxiv].