Amol Khanna is a machine learning (ML) specialist for Booz Allen’s chief technology office. He focuses on the safety and robustness of ML techniques. He also provides expertise in differential privacy and has led research efforts in out-of-distribution detection.
Amol advises our government and commercial clients on the latest ML privacy policies and how to best implement safe ML solutions.
Before joining Booz Allen, Amol was a researcher at Yale University, building safe ML methods to improve disease prediction.
Amol holds a B.S. in applied mathematics, statistics, and biomedical engineering from Johns Hopkins University.