Research · June 2025–Present
Research Assistant
Developing high-performance biological simulation and representation-learning systems for complex physiological models.
Developing a high-performance simulation engine in Python and C++ that models complex biological systems with more than 10,000 interdependent variables using a lumped-parameter model.
Debugged recursive algorithms hundreds of layers deep arising from the nested structure of physiological system calculations.
Training a transformer with contrastive learning to create vector embeddings of physiological state.