Events

Achieving trustworthy AI in healthcare remains a significant challenge, as existing eXplanation Artificial Intelligence (XAI) methods like attention maps or LIME/SHAP are often dismissed by clinicians and patients as uninterpretable. While the reasoning LLMs initially seemed promising for generating natural-language explanations, they often create unfaithful rationalizations that obscure a model’s true logic. To solve this,…

Join us this coming Monday when Ginny Lane will lead, with Brenda Murdoch, a discussion about new and ongoing research in chronic disease.  Opportunities for depth and breadth in understanding chronic disease Brenda Murdoch and Ginny Lane will share some current research related to diabetes and opportunities for interdisciplinary research in the area of chronic disease development.

Session led by Tanya Miura Our initial project on the CMCI COBRE award was designed to identify parameters that determine disease outcomes during respiratory viral coinfection in a mouse model. Through this work we identified multiple virus pairs that resulted in reduced disease severity upon coinfection, which depends upon the viral doses and order of…

Bring a lunch and come join the crew as Chenangnon Tovissode presents a mock job talk. His topic is “From Genes to Epidemics: Integrating Machine Learning and Mechanistic Models“.  In this presentation, Chenangnon will explore two complementary approaches to investigating causal mechanisms in biological and social systems. The first part focuses on uncovering causal pathways from…

Our very own Tinashe Gashirai will present a talk this coming Monday (09/29)! The main aim of this discussion is to trigger a conversation between mathematical modelers and experimentalists on how the concurrent formulation of mathematical model and running of experiments could increase the utility of math models in informing optimal experimental design. Tinashe will use…