Building and studying machine learning systems, with a focus on the algorithms behind them and their connections to neuroscience. OMSCS (Georgia Tech), ML specialization. Currently working in deep learning and reinforcement learning.
- Deep learning for neural signal analysis (EEG)
- Reinforcement learning (recently implemented TD3 from scratch in PyTorch)
- Algorithmic and theoretical foundations of ML
- cortex-unsupervised — unsupervised neural state discovery from EEG (ICA, PCA, UMAP, clustering)
- The Bill Coleman Project — AI for early detection of small cell lung cancer
I think a lot about machine consciousness and where ML theory, neuroscience, and physics overlap. That intersection drives most of what I build.