Building AI products & the research behind them.
CS, Math & HCI @ Northwestern. Regeneron Science Talent Search Scholar '25. Applied AI Engineer at CrowdListen, working on business-context workflows for AI agents.
My research spans drug-drug interaction prediction with gated message passing neural networks and mathematical modeling competitions. In my free time, I photograph sunsets by Lake Michigan and chase the Milky Way. Always happy to chat.
Selected Work
05 projectsCrowdListen
- Applied AI Engineer at CrowdListen.
- CrowdListen gathers social and customer signals across Reddit, Discord, X, TikTok, Slack, and support channels.
- It structures themes, evidence, trends, severity, and recommended actions for AI agents.
GMPNN-CS++
The proposed GMPNN-CS++ model introduces a dual-contrasting sampling approach and self-attention mechanism for DDI prediction, achieving 97% overall accuracy.
Regeneron Science Talent Search Scholar '25
Dandelion PDE Model
Finalist Award (Top ~7% globally) at HiMCM 2023. Constructed a system of four coupled PDEs modeling dandelion population dynamics with Fisher logistic growth, advection-diffusion, and Brownian dispersal.
HiMCM Finalist, top ~7% globally
MCM 2023 - Optimization
Global Meritorious Winner (Top ~10% among 11,296 teams). The only high school team to achieve this on Problem B. Built optimization models using simulated annealing, logistic models, and Euler Method.
Global Meritorious Winner, top ~10% among 11,296 teams
IMMC 2023 International
Advanced to Final Defense (Top 26 among 900+ teams) at IMMC Greater China International Round. Applied Entropy Weight and K-Means clustering for optimized land development strategy.
Advanced to Final Defense, top 26 among 900+ teams
