Projects & Recognition

Projects & Awards

From production AI platforms to optogenetics experiments to international competitions — built to solve hard problems.

Projects

Research, AI & Ventures

Click any card to dive deeper. PDF reports and live links included where available.

InsurifyAI.app

Production AI platform that levels the playing field between policyholders and insurance companies. 250+ features, 2,400+ automated tests. Covers a $26B/year consumer loss problem.

  • → Real-time AI call coach with <300ms latency (Deepgram + Claude)
  • → 16 AI-generated legal document types (demand letters, appeals, etc.)
  • → 7-source vehicle appraisal engine with diminished value calculator
  • → Electron desktop overlay with real-time OCR screen reading
// Platform Architecture

USER → [InsurifyAI API]
  ├── AI Document Engine
  │   └── 16 letter types × 4 tones
  ├── Real-Time Call Coach
  │   ├── Twilio (3-way conf)
  │   ├── Deepgram STT <300ms
  │   └── Claude Haiku coaching
  ├── Appraisal Engine
  │   └── KBB, NADA, Carfax +4
  └── Screen Overlay (Electron)
      └── Tesseract OCR + WS

Optogenetics & Drosophila Place Conditioning

Designed and ran a closed-loop V-maze experiment in NEU350. Demonstrated that optogenetic Gr64f sweet-neuron activation drives spatial place conditioning in freely walking Drosophila — with evidence of goal-directed, outcome-sensitive responding.

↓ Download GitHub ↗

Computational Genomics — Novartis DAx / NIBR

Statistical genomics research embedded in Novartis's Exploratory Disease Area group in Cambridge. Building GWAS integration and multi-omics pipelines to discover translational biomarkers for kidney and liver disease.

Ethiopian Painting AI Clustering — Princeton PEMM

Built vision-language model pipelines on Princeton's DELLA supercluster to analyze 4,500 Ethiopian religious paintings. Adapted BLIP-2, CLIP, and CoCa to produce similarity clusters and structured metadata for quantitative art history.

PEMM.princeton.edu ↗

Infant Brain Development — Hasson Lab (1kD Project)

Analyzing 1.5M+ hours of naturalistic infant-parent recordings from 15 families. Building deep learning models to predict executive function trajectories from audiovisual behavioral markers in a $50M NIH-funded longitudinal program.

LC-NE & TBI — Devilbiss Lab

EEG study of locus coeruleus-norepinephrine modulation of neural plasticity in traumatic brain injury animal models. 8 subjects, 3-channel recordings, pharmacological interventions analyzed in MATLAB.

FMT Clinical Research — UPenn Perelman

Analyzed 500+ patient microbiome datasets to evaluate FMT delivery routes for recurrent C. difficile infection. Found 43% outcome improvement with lower GI approach. Presented to 100+ senior physicians.

Abstract ↗

Mobile Harm Reduction — Princeton GHP Survey Analysis

Lead analyst on a 574-response client survey across 14 NJ mobile harm reduction sites with Prof. Heather Howard and Dr. Ben Scher. Built the full R/Python pipeline and surfaced a statistically significant racial disparity in naloxone access (OR = 1.74, p < 0.05) adjusted for housing, arrest history, and fentanyl use.

HBV cccDNA Reporter Assay — Biotech Venture

Designed and pitched a first-in-class diagnostic platform: an HBV cccDNA-conversion reporter assay that measures whether Hepatitis B can complete the DNA repair needed for persistent infection — a capability no commercial assay offers today. Full TAM/SAM/SOM analysis sized the US opportunity at $900M–1.1B.

↓ Download Deck

Antibody Engineering & Genes in Space

Two parallel research projects: a 1,500-word paper on monoclonal vs. polyclonal antibody mechanisms (Antibody Society), and a theoretical microgravity experiment design proposing that weightlessness enhances monoclonal antibody production rates.

Recognition

Awards & Honors

National competitions, academic distinctions, and athletic achievements.

Valedictorian — Class of 2024
Ranked 1st of 200 students at Bordentown Regional High School. Weighted GPA 4.67 · 1520 SAT.
2024
Dean's List with High Honors — Princeton University
GPA 3.9 · School of Arts & Sciences · Computational Neuroscience
2024 — Present
1st Place — Princeton Ignite STEM Design Challenge
National engineering design competition hosted by Princeton University.
2023
2nd Place National — TSA Hydrogen Biofuel EV Engineering Design
Technology Student Association national competition on EV engineering design.
2023
Mock Trial Central Jersey Champions / NJ State Finalists
2× County Champions; State Finalists competing against 511 schools statewide.
2022 — 2023
3rd Place Statewide — TSA Biotechnology Research Presentation
"Algae Blooms" — presented ecosystem-safe bioremediation solutions at TSA State Conference.
2022
2× Best Delegate — Rutgers University Model United Nations
RUMUN National Conference — competed against delegates from across the East Coast.
2021, 2022
1st Place International — TSA Music Production
Won at the 2021 TSA Worldwide Conference in music production.
2021
5× Superior State Ranking — NJFMC Junior Music Festival
Piano competition — Concerto in A minor, Solfegietto, Spinning Song, and others. Competed statewide.
Multiple Years
1st Degree Black Belt — Shotokan Karate
10+ years of training; now mentors younger students in Shotokan technique.
2010 — Present
All-County Burlington County — Cross Country & Track
Top 7 in the county in the 5K (XC) and 3200m (Track). Co-captain of varsity team.
2022
Outstanding Delegate — Rutgers University Model Congress
RUMUC National Conference — "Promotion of Renewable Energy in the US"
2021