Nava, A. (AM) – Machine-Learning Methods for Prediction of Biological Systems

Engineering 2 Engineering 2 1156 High Street, Santa Cruz
Hybrid Event

Advances in microscopy have enabled the collection of high-quality single-cell datasets, providing new opportunities to identify the mechanisms underlying complex biological processes. In this work, we develop machine-learning frameworks using single-cell temporal data with the goal of predicting and providing insights into these mechanisms. We produce frameworks for two biological systems, bacterial spore germination, the […]

Huang, X. (CSE) – Scalable and Verifiable Reasoning for Medical Foundation Models

Virtual Event

This PhD research focuses on developing reliable medical foundation models capable of reasoning across textual, visual, and interactive clinical information. The work investigates three complementary directions: improving medical reasoning through test-time scaling, training multimodal medical models with verifiable rewards, and synthesizing high-quality visual question-answering data from biomedical literature using generator-verifier frameworks. Building on these efforts, […]