Network Infrastructure

I built cloud-based distributed systems and data-driven optimization tools for the wet lab. Check out my work on the AWS startups blog!

• Built a cloud-based job scheduling system using AWS Services (Kinesis, Dynamo, Fargate) which has been adopted for a range of internal/external uses, including unit testing, documentation building, RNA folding simulations, and user data analysis.

• Developed 10+ interactive data analysis apps (Mathematica) including peak-picking for NMR, data clustering for flow cytometry, and image processing for dynamic foam analysis.

• Developed unit testing system for interactive Mathematica apps which emulates UI interactions (button presses, sliders, etc.), reducing the need for human-driven QA and saving ~20 person-hours/week.

I built models to describe polymer electrolytes, and wrote code which applies these models for computational materials design.

• Developed a novel self-consistent field theory (SCFT) for predicting the structure and properties of polymer electrolytes for Li-ion batteries.

• Implemented a high-performance convex optimization package in Fortran 95/C++ (9 months, ~2500 lines) which uses the aforementioned SCFT to efficiently screen candidate materials for desirable properties.

• Further improved optimization package by designing spectral algorithm which achieves up to 30x speedup by exploiting symmetry in SCFT equations.

Applied quantitative/programming skills in a fast-paced corporate environment.

• Treasury/Chief Investment Office: Portfolio Strategy

• Built stochastic model which generates a distribution of future macroeconomic paths (i.e. time evolution of unemployment, inflation, etc.), conditionally on historical economic data.

• Cleaned and compiled macroeconomic data, used to construct regressions of interest rates on macroeconomic variables.