I currently work on machine learning research and engineering at Microsoft Research AI. Previously, I was a software developer at Wolfram Research, working on large scale natural language processing and data mining of technical literature, primarily in math, using a variety of techniques in supervised and unsupervised learning, and creating scalable data processing and retrieval pipelines with e.g. Java, Python, and SQL.

I have also built different classifiers of various textual data using neural networks to predict characteristics such as the character encoding or the mathematical subject classification.

I studied math at Princeton (undergraduate) and the University of Wisconsin - Madison (graduate).

I am also broadly interested in current research developments in machine learning. I enjoy figuring out and implementing new algorithms.