Education
Honors
Fellowships
Thomas J. Watson Fellowship (2022),
Ernst and Young HCC Scholar (2021-2022),
INFORMS Student Scholarship (2020),
Harvey Mudd Research Fellow (2020),
National Merit Scholarship (2017-2021)
Academic Honors
Departmental Honors in Computer Science (2021) ,
Harvey Mudd Dean's List (2018-2021),
College Swim Coaches Association Academic All-American Honorable Mention (2019-2020),
Southern California Interscholastic Athletic Conference All-Academic Team (2018-2020)
Experiences
- Fellowship providing a year of funding for independent, purposeful exploration in an international context
- Focus of year is in exploring alternative perspectives in health equity
- Visiting with various international institutions working on healthcare equity.
- Joint work with Professor Lauren Steimle of Industrial and Systems Engineering and Dr. Arthi Rao, of the Center for Quality Growth and Regional Development
- Assessed the efficacy of hospital community benefit spending at addressing community needs
- Determined spending had not experienced a dramatic shift to address upstream social determinants of health
- Identified community partnerships as key predictors of community benefit spending.
- Work with Professor Reza Kalhor and Dr. Weixiang Fang
- Stochastic modeling in the context of cell lineage reconstruction with hgRNA barcoding system.
- Conceptualized and created a novel probabilistic model that will enable more faithful reconstruction of cellular divisions.
- Model may enable fate-map perturbation, using a likelihood model to assign probabilities to given fate maps.
- Consulting work with small operations research group founded by Professor Susan Martonosi.
- Formulated and solved a highly constrained large scale human resource allocation problem.
- Beat the existing industry standard and the resulting mixed integer problem created an optimal upper bound for heuristic performance.
- Created a simulated annealing and particle swarm optimization based meta-heuristic.
- Improving equity in liver allocation under Professor Sommer Gentry at the Epidemiology Research Group in Organ Transplantation at Johns Hopkins (now CSTAR at NYU Langone).
- Modeled and simulated the impacts of revisions in Federal allocation policy.
- Submitted Organ Procurement and Transplantation Network policy recommendation leveraging SRTR data
- Used GIS to extract and display spatial data for web and journal publication
- Designed and implemented global work-order metadata tracking service
- Automated work-order metadata tracking and validation across all AWS Regions
- Independently created and deployed robustly tested service in-spec and on time
Papers
Accepted Publications
Under Review
Skills & Proficiency
Languages
R,
Python (Numpy, Pandas, Keras, Pytorch),
C++,
Java,
Ruby
Mathematics
Integer and Linear Programming,
Discrete Optimization,
Bayesian Statistics
Development & Tools
Functional Programming,
Continuous Deployment,
Integration Testing,
Parallel Computing,
Cluster Computing,
Git / Github,
AWS ,
Docker,
Singularity,
Gurobi,
LaTeX