Vivian is a first year medical student at the Icahn School of Medicine at Mount Sinai. Previously, she earned her BS in Computational Biology with a Computer Information Science minor from Cornell University. She has extensive interest in bio-inspired engineering for medical innovation and leveraging data into healthcare operations and decision making. Prior to medical school, she developed supervised machine learning algorithms for disease prediction at Microsoft Research. Vivian also worked at Palantir, where she created applications to model the domestic spread of the COVID-19 pandemic and monitor how well-equipped hospitals were to handle spikes in cases. With a heightened interest in mental health, she pursued an independent thesis project exploring new solutions for acting upon warning signs of depression. She looked for differences in depression presentations and how to best teach adolescents how to recognize and distinguish symptoms that need further intervention.
Outside of her academic pursuits, Vivian has collaborated with her local community to address major systemic issues. From 2015-2018, she developed and scaled Excel Education Preparation, a college mentoring program aimed towards providing standardized test preparation to students in low resource communities after noticing the lack of access to affordable preparation services in her community. She received funding from the KEDS ‘Change Your Community’ grant, purchased standardized prep books for each of the students enrolled, and created weekly SAT tutoring sessions/college preparatory workshops.
At Cambridge Coaching, Vivian specializes in course support for biology, computer science, and software.