Hi, I’m Hunter.

I’m a Harvard-educated AI Research Scientist specializing in deep learning for scientific simulation. My work focuses on molecular dynamics modeling, generative AI for physical systems, Transformers, and PEFT frameworks. This site hosts my research, projects, and notes. More about me →

Time Series Forecasting

Deconstructing Neural Networks for Time Series Forecasting

Ablation study of neural network components for forecasting, finding gating and attention improve RNNs while recurrence …...

Scientific Computing

Velocity Autocorrelation Function showing the signature negative region characteristic of liquid dynamics and the cage effect discovered by Rahman

Rahman's 1964 Liquid Argon Simulation Replication

Replication of Rahman's 1964 molecular dynamics simulation using modern LAMMPS and Python, achieving quantitative …...

Document Processing

LLMs for Page Stream Segmentation

Enhanced TABME benchmark for page stream segmentation, creating TABME++, showing fine-tuned decoder-based LLMs …...