Hi, I’m Hunter.

I’m an AI Scientist & Research Engineer combining expertise in Large Language Models (LLMs) and Vision-Language Models (VLMs) with research in machine learning for scientific simulation. I specialize in foundation models and engineering physics-informed generative models. This site hosts my research, projects, and notes. More about me →

Time Series Forecasting

Forecasting comparison of different neural architectures on the Multiscale Lorenz-96 system

Deconstructing the "Black Box" - Optimizing Sequence Models for Dynamical Systems

A rigorous ablation study deconstructing the "black box" of sequence modeling. We synthesized novel hybrid …...

Scientific Computing

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

Digital Restoration: Modernizing Rahman's 1964 Argon Simulation

A high-fidelity replication of foundational molecular dynamics using modern software engineering practices: caching, …...

Computational Chemistry

Müller-Brown Potential Energy Surface showing the three minima and two saddle points

High-Performance Müller-Brown Potential: A PyTorch Testbed for Machine Learning and Molecular Dynamics

High-performance, GPU-accelerated PyTorch framework for the Müller-Brown potential, featuring JIT compilation, …...