Hi, I’m Hunter.

I’m an AI Research Scientist & Engineer at Roots.ai, bridging abstract ML research and production deployment. I specialize in Large Language Models (LLMs) and Vision-Language Models (VLMs) for document processing, and conduct research in physics-informed AI for scientific simulation. I take ideas from papers to working code in real-world systems. More about me →

Time Series Forecasting

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

Optimizing Sequence Models for Dynamical Systems

Ablation study deconstructing sequence models. Attention-augmented Recurrent Highway Networks outperform Transformers on …

Document Processing

Diagram showing page stream segmentation workflow: an input stream of pages is processed through binary classification of page pairs to predict document breaks, producing segmented output documents

LLMs for Page Stream Segmentation

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

Computational Chemistry

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

Müller-Brown Potential: A PyTorch ML Testbed

GPU-accelerated PyTorch framework for the Müller-Brown potential with JIT compilation, Langevin dynamics, and …