AI & Scientific Research

Alzheimer's and Parkinson's Disease gait analysis, EEG working-memory feature extraction, and predictive models for gait imbalances.

Investigating deep learning architectures for protein structure prediction, folding dynamics, and design heuristics.

Applying generative models and graph neural networks (GNNs) for target binding prediction and automated lead compound discovery.

Predictive vulnerability exploitability models (DistilBERT/GPT-2) and national governement CTF challenges.

Rewiring attention mechanisms, optimizing context windows, and serving multimodal CLIP and VLLM systems at scale.