Princeton Dept. of Physics
Jun 2025 – Jul 2026
ML Researcher & Engineer
Dr. Jason Puchalla · Physics-informed tumor segmentation & few-shot pipelines · led to IP filing & Segmentum launch
Incoming Data Science / Computer Science freshman at UC Berkeley, Class of 2030.
Co-founder of Segmentum AI. Spun out from research at Princeton Physics with faculty. Reinventing few-shot segmentation.
Research across deep generative models, info-theoretic learning, compbio. Currently into rl and computer-use agents.
Prev. ML Researcher & Engineer @ Princeton Physics, NYU Center for Data Science, Stanford's AIMI Center, NJIT SCIIS Lab, IIT Madras, and the US Air Force Research Laboratory.A few results I'm proud of: papers at AAAI, ICLR, ACS, CI CRC, the UN AI for Good Global Summit; Regeneron Science Talent Search Scholar.
I've been playing Carnatic flute for twelve years 🪈
As of June 2026
Princeton Dept. of Physics — ML Researcher & Engineer developing physics-informed tumor segmentation models and few-shot pipelines under Dr. Jason Puchalla. Research led to an IP filing and the commercial launch of Segmentum.
NYU Center for Data Science — engineering normalizing flow systems for synthetic dataset generation and error decomposition with Prof. Ravid Shwartz-Ziv. arXiv preprint out.
NJIT SCIIS Lab — RL Engineer Intern developing reinforcement-learning based crack-segmentation models and RL environments for robotic navigation.
Air Force Research Laboratory — ML & Wireless Engineer designing ML-driven optimization for Line-of-Sight MIMO hardware, integrating signal modeling and simulation into a functional hardware deployment pipeline.
Starting at Berkeley in August.
ML Researcher & Engineer
Dr. Jason Puchalla · Physics-informed tumor segmentation & few-shot pipelines · led to IP filing & Segmentum launch
ML Researcher
Prof. Ravid Shwartz-Ziv · Normalizing flow systems for synthetic dataset generation & GPU-intensive infra for scaling laws
Deep Learning Research Intern
Artificial Intelligence in Medicine & Imaging (AIMI) · High-performance medical image segmentation with advanced CNNs, optimized for data efficiency & clinical deployment
RL Engineer Intern
Prof. Xi Hu & Prof. Rayan Assaad · RL-based crack-segmentation models & RL environments for robotic navigation
ML & Wireless Engineer
National SDR Challenge · ML-driven optimization for LoS MIMO hardware · Signal Seekers Team Captain · $17k USRP grant (×2)
Bioinformatics Intern
Dept. of Biotechnology & Cancer Institute Chennai · Deep-generative antibody design · SOTA results on multiple ovarian cancer antigens
ML Intern
Robert Bosch Center for Data Science & AI · 35 deep learning models for predicting yeast-growth patterns
What Lies Beneath the Curve? Scaling Laws in the Presence of Exact Posteriors
Generative Flow Networks for Lead Optimization in Drug Design
EquiDermAI: An Inclusive Framework for Skin Disease Diagnosis
Deep generative flow network driven multi-objective molecular design for accelerating drug discovery
Deep Generative De Novo Design of High-Affinity Antibodies for Therapeutic Targeting of Disease-Associated Antigens
A Framework of RGB-Thermal Sensor Fusion with Zero-shot and Prompt-aware Deep Learning for Enhanced and Real-time Thermal Anomaly Detection in Buildings
ScriptGAN: A Therapeutic Tool for Preserving and Replicating Handwriting Using Generative Adversarial Networks in Neurodegenerative and Learning Disorders
Regeneron Science Talent Search — Scholar
Top 300 nationally. $2,000 scholar award. Nation's most prestigious high school science competition. ↗
American Association for Cancer Research Special Award
Awarded for my research on automated generative antibody discovery.
International Neural Network Society — Inducted Member
First high school student ever inducted, and its youngest member.
AFRL National SDR Challenge - First HS Student Funded
First and only high school student selected by the Air Force Research Laboratory. Led Stevens "Signal Seekers." $17,000 USRP hardware grant (×2). Selected both years.
Mercer Science & Engineering Fair @ Princeton — 2nd Place
Antibody design research presented at Princeton's CS Department.
NASA Human Exploration Rover Challenge — Top 10 International Finalist
Team Hercules represented New Jersey at the US Space & Rocket Center, Huntsville, AL. ↗
World AI Competition for Youth (WAICY) — International Finalist
LifeLineAI: smartwatch for real-time heart attack prediction via myocardial EKG analysis.
NASA App Development Challenge — National Finalist
App visualizing the Artemis II mission's real-time flight path and Earth communication links.
Congressional App Challenge Award
BeyondWords AI: reading companion for individuals with dyslexia. Recognized by Congressman Frank Pallone Jr. ↗
Fragments
The most interesting problems don't announce themselves as such.
Research taught me that being wrong quickly is a feature, not a bug.
More here eventually.