vitae

Ph.D. in Electrical Engineering

Stanford University, Stanford, CA

• Dissertation titled "Convex Optimization Methods for Adaptive Radiation Therapy".
• Committee members were Stephen Boyd (Ph.D. Adviser), Lei Xing, Balasubramanian Narasimhan, and John Duchi.

M.S. in Statistics

Stanford University, Stanford, CA

M.A. in Business Research (Economic Analysis and Policy)

Stanford Graduate School of Business, Stanford, CA

B.S. in Electrical Engineering

University of Maryland, College Park, College Park, MD

B.A. in Economics with Minor in Mathematics

University of Maryland, College Park, College Park, MD

Assistant Attending (Faculty)

Memorial Sloan Kettering, New York, NY

Postdoctoral Research Scholar

Memorial Sloan Kettering, New York, NY

• Advised by Masoud Zarepisheh (Department of Medical Physics).

Life Science Research Professional

Stanford School of Medicine, Stanford, CA

• Member of the Xing Lab, led by Lei Xing (Department of Radiation Oncology).

Machine Learning Scientist

H2O.ai, Mountain View, CA

Engineering Technician

Naval Research Laboratory, Washington, DC

A2DR

• Python solver for distributed optimization using Anderson accelerated Douglas-Rachford splitting.

CVXR

• R package for disciplined convex modeling and optimization.

AdaRad

• Python library for adaptive radiation therapy with nonlinear dynamics.

ConRad

• Python library for radiation treatment planning with dose-volume constraints.

• Chambers Statistical Software Award, Honorable Mention

• Stanford Graduate Fellowship

• National Science Foundation (NSF) Graduate Research Fellowship

• Maryland Distinguished Scholarship
• Intel Science Talent Search Semifinalist

• Siemens Westinghouse Science Competition Semifinalist