Jointly Optimizing Placement and Inference for Beacon-based Localization
Charles Schaff, David Yunis, Ayan Chakrabarti, and Matthew R. Walter
IROS, 2017 [arxiv][code][project page]
Bayesian Optimization for Automated Model Selection
Gustavo Malkomes, Charles Schaff, Roman Garnett
NIPS, 2016 [nips]
Intern at Google Inc. in Mountain View, CA (Summer 2015)
I worked with the Google Maps team to develop Machine Learning techniques for Google's semantic location ranking system. Specifically, I used decision trees to improve the capability of their feature engineering pipeline.
Intern at Epic Systems in Verona, WI (Summer 2014)
I worked with Epic's transplant team, Pheonix, to develop algorithms for efficient kidney allocation in paired kidney exchanges. I formulated the network of compatible pairs as a graph and showed that finding the optimal kidney allocation is NP-Complete by reduction from the maximum weighted clique problem.