_{Image credit: Duke University · Source}

I'm a pre-med student at the University of Texas at Austin studying Chemistry and Health & Society, with a minor in Statistics and Data Science. I want to be a great doctor someday!

My interests—and the evolving landscape of medicine—increasingly pull me toward computational tools, so I'm using GitHub as a place to learn through building. This is very much a work in progress, but you'll likely find projects involving computational biology, bioinformatics, neurotech, PyMOL scripting, NLP, enzyme kinetics, public health, and whatever else I become curious about.

• Computational and systems biology - bioinformatics, integrative multi-omics, gene regulatory network inference, multimodal representation learning, pathway modeling, pharmacogenomics
• Neuroscience and neurotechnology - computational neuroscience, brain-computer interfaces, EEG/iEEG analysis, neural decoding, intracranial electrophysiology
• Computational chemistry and molecular engineering - molecular modeling, structure-based drug discovery, molecular transport, biomolecular/materials design
• Health systems and policy - health services research, healthcare operations, health economics, outcomes evaluation, quantitative health policy

"For the things we have to learn before we can do them, we learn by doing them."

Aristotle

"What I cannot create, I do not understand."

Richard Feynman

"The purpose of computing is insight, not numbers."

Richard Hamming