Projects

Here are some projects I’m proud of working on.

MOSES

A foundational algorithm applying the group theoretic concept of ‘symmetry’ to chemical engineering. An information-minimizing method for to designing self-assembling DNA origami nanoparticle lattices. Under supervision of Dr. Jason Kahn at Brookhaven and Dr. Oleg Gang at Columbia University. Our paper was accepted to ACS Nano!

Synchrony

An opinionated practice tool for musicians, which compares a user’s recording to a MIDI score and computes the user’s mistakes in real-time. Uses a probabilistic pitch detection method that utilizes the MIDI to detect note events. Under supervision of the kind NYU professor Dennis Shasha.

RichCluster

An Rcpp library for performing hierarchical clustering on multiple enriched genomics datasets. Clusters different biological ‘terms’ based on overlapping gene content. Coded in C++ for fast clustering, with customizable linkage / distance metrics and supporting visualizations. (Paper-in-progress)

Pre-Walkwise

Scripts and web app to implement and visualize Kalman filtering and Map-Matching algorithms for GPS time-series data. For use in preprocessing the training data for Caspar Lant’s (Columbia CS PhD.) Walkwise model, which predicts pedestrian intent at intersections.

daily-integral

Solve a new integral every day, and compete against friends on a daily leaderboard. Created with React and MongoDB backend with secure user authentication.

I hosted the site using Vercel daily-integral.vercel.app and created a video demo of it for my web development class at Columbia.

playlistify

A Spotify playlist sharing (and analyzing) social app!

congress-cut

For Columbia’s 2024 DevFest, I worked with my friends Moises and Andromeda to build a web app that uses content classification AI to parse Congress documents for searchable topics. Our project was awarded “Best Use of Google Cloud”.