Supported by a Stanford DARE Fellowship, Stanford Data Science Fellowship, and NSF GRFP.
Research Experience
Presenting at the MIT CODE Conference about data fusion for public health surveillance in Session H: Education and Health (DR 3, 6th Floor) on Friday November 14 at 3:20pm.
Education
PhD student in Computer Science at Stanford University, advised by Stefan Wager; studied Computer Science and Math at MIT, where she was mentored by Igor Gilitschenski, Daniela Rus, and John Guttag in her first research experiences.
Background
A final-year PhD student in computer science at Stanford University, working on data-driven decision making for social impact. Her research develops statistical methodology to address challenges in public health and economic development, combining tools from machine learning, causal inference, and optimization.
Miscellany
Loves to practice yoga, run, swim, and read. Happy to chat about building inclusive research communities, mentorship, grad school etc.