About

Hi! I'm Jeffrey and I study math / cs at Dartmouth. I did ML at Amazon and researched interpretability for Engram. Previously, I worked on LLM degredation scaling at Adaptional (YC S25) and was a farmer at Jacquemin Farms. At school, I'm exploring mechanistic interpretability with Xuyuan Liu.

In my free time, I enjoy writing(check out my blogs!), running(17:29 5k many years ago), weightlifting, playing chamber violin and photography.

“Do it or do not do it—you will regret both.”

— Søren Kierkegaard

Experience

Amazon

SDE Intern · Jun 2026 - Sep 2026

Engram

Jul 2026 - Sep 2026

Interpretability for single cell perturbation and bio-eval engineering.

Adaptional (YC S25)

Machine Learning Engineer Intern · May 2025 - Nov 2025

AI evals for insurance entity resolution. Worked directly under former xAI Director.

LISP Lab

Deep Learning Research Intern · Jan 2025 - May 2025

Used complex valued neural networks to model neural synchrony with Professor Chin.

Cognitive Systems Engineering Lab

Machine Learning Research Intern · May 2024 - Sep 2024

Applied explainable algorithms to breast cancer segmentation under Professor Krening.

Jacquemin Farms

Farming Intern · Mar 2024 - Jun 2024

I cultivated the Ohioan fields.

Education

Dartmouth College

Dartmouth AI/ML club officer | Hosted Cursor, Anthropic, Simile AI, etc. speakers

Tsinghua University

Fall '26 CS | Global Biodiversity Conservation, Planetary Health, Applied Epidemiology

Projects

Project 01

Olive Theory Lab

Crisis lines suffer from long on-hold wait times. I research musical features that improve patience for people in states of crisis.

Project 02

Clinova

Full-stack · Multi-agent AI · 3D Visualization · AWS

Full-stack virtual clinical trial platform using a multi-agent AI pipeline to simulate, validate, and replicate randomized controlled trials with 3D visualization and OMOP CDM integration.

Project 03

SodaCan

Python · Gemini API · CLI

Terminal-first workbench using Gemini API for 10x faster data ingestion.

Project 04

IEX Crumbling Quote Signal Simulation

Python · Simulation · Agent-based

Agent-based sim modeling IEX CQS impact on market microstructure. Event-driven with Hawkes process.

Project 05

Tiny Search Engine

C · Make · Indexing · Querying

Full search engine in C with indexing, querying, and ranking.

Project 06

Occam's Razor Model on Game Theory

Python · Jupyter · ML

Cut a 62% win-rate AI in rps down to 20.6% over 107 games using Occam's Razor ML.

Research

Research 01

Classical Composer Prediction

Python · MIDI · Logistic Regression · Linear Regression

94%+ accuracy identifying Bach from MIDI using 10 musical features; 67.5% multi-class accuracy.

Research 02

ComplexNN (Private repo)

Python · PyTorch · Complex-valued NN · Signal Processing

Complex-valued neural networks for modeling neural synchrony in brain activity.

Research 03

Breast Cancer Classification

Python · Scikit-Learn · Random Forest · MLP · SVM

Ultrasound classification without ROI. Random Forest 78% accuracy, AUC 0.86 on 780 images.

Research 04

Running Injury Prediction

Python · PyTorch · RNN · LSTM · Optuna

RNN and LSTM models for predicting running injuries from ground reaction force data. RNN outperformed LSTM in accuracy, precision, and recall on 9k-point biomechanics sequences.