I am looking for a career in which I can continue to develop intelligent systems that are general,
flexible, and useful. To date, my research has targeted a core problem in machine learning (ML):
how to build powerful models while retaining the ability to reason efficiently. By understanding
what makes reasoning hard, I developed expressive but tractable models for deep learning,
probabilistic modeling, nonconvex optimization, and computer vision. This work appeared at top
ML and artificial intelligence (AI) conferences and won a distinguished paper award.