Full-time role coding in Rust WebAssembly in order to speed up data ingestion and processing to scale the Decipad webapp. Focus on optimizing runtime, clean I/O with JS through WebAssembly, and a strong internal type system to enforce proper usage.

Promoted to Case Team Associate

With team, built image/video processing pipelines and automated fluidic systems to quantify flow profiles through enclosed cell growth chambers. Extensive algorithm development and use of Python for instrument control, accurate data collection, large-scale data processing, and display. Integrated imaging system with automated pipetting setup to rapidly collect and process data. Worked on memory and processing speed optimization, cloud storage solutions, and data structure optimization in Python.

Worked with JMP, MATLAB, and python for data cleaning and processing in an academic setting. Mostly worked on papers relating sleep and activity patterns to neuron counts collected post-mortem. Wrote two papers, a review and original research, and presented original research at SLEEP 2022 conference.