Experience

Conducted novel computational neuroscience research with large-scale datasets (10 TB+) of EEG time and spectral data for depression, ADHD, PTSD, and OCD

Developed and maintained custom processing and analysis pipelines in Python and MATLAB for various datatypes including EEG, MRI, fitness tracker, and behavioral data

Worked on development of an automated data validation and quality platform to reformat existing and future EEG data for easier analysis and collaboration

Led operations for research projects totalling >$2M in federal government funding

Worked directly with psychiatric patient populations, administering TMS treatment during research procedures

Implemented computational model of novel thermodynamic process (oxygen-lean torrefaction) in Excel

Collaborated closely with founder to prepare materials for applying for further early-stage funding

Received competitive funding award to finance student research on chemotherapy drug efficacy and functional medicine optimizations

Collected imaging data (spectral domain OCT) and performed data analysis using MATLAB

Developed custom incubator with Arduino using closed-loop control system to allow for long-duration (24-72 hour) scanning

Hand-coded this portfolio website using TypeScript, Next.js 16, and Tailwind CSS

Implemented a responsive layout with adaptive navigation supporting both desktop and mobile devices, as well as dark and light mode variations

Built interactive photo gallery with lightbox functionality using yet-another-react-lightbox library

Concepted and implemented a 2D puzzle game for PS Game Jam 17 using the Godot engine

Designed and programmed movement and object interaction system using custom physics-based implemenation

Developed game AI including NPC pathfinding and decision-making systems

Designed and programmed a top-down 2D puzzle-adventure game for 1-week GBJAM 12 hackathon using the Godot engine

Implemented dynamic lighting system using shader scripting, including dithering and player and objective-based lighting effects

Designed and implemented visual assets and animations including player movement, special lighting abilities, and environmental objectives

Worked on development of custom recording stethoscope device for use by pulmonologists to diagnose abnormal breath sounds

Implemented breath sound diagnosis machine learning algorithm in Python, Pytorch using breath sound spectrograms

Programmed Arduino microphone recording device

Presented work at Northeast Bioengineering Conference, April 2023. "A Streamlined Platform for the Creation of a Powerful Breath Sound Database."