A selection of programming and machine learning works.
Developed an instruction pipeline emulator as part of the CS429 course at UT Austin, implementing core functions for instruction fetching, branching, and memory management in a five-stage CPU pipeline.
Read MoreThis project explores how fine-tuned large language models can assist in predicting key cancer treatment decisions with high accuracy, approaching the quality of human oncologists. Such advancements may expand access to quality care in community settings, ultimately bringing expert-level guidance closer to more patients.
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