Assistant Professor, Harvey Mudd College

Department of Engineering

Ph.D, Aerospace Engineering, Stanford University

 Machine learning for scientific visualization and analysis, with emphasis on simulation development, computer vision, image processing, and human-computer interaction systems using biometric data. 

Autonomous drone technology, particularly, the mechanical aspects of drones, and how to utilize sensors to allow autonomous precision and drone safety.

Computer vision and reinforcement learning for UAV applications.

Machine learning and algorithms for various applications ranging from GPS navigation to brain research.

Computer vision and its applications to autonomous navigation in space.

Intersections of Deep Learning, Computer Vision, and Natural Language Processing for research and industry applications.