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Computational Cell Biology Faculty Candidate Research Seminar – Xin Tang
March 5 @ 10:00 am - 11:00 am
Speaker: Xin Tang – PhD candidate, Harvard University
This seminar will be presented in a hybrid format. The speaker will be delivering their talk in person at the MSL Lecture Theatre (room 102). Audience members are welcome to attend either in person or via the zoom link. Those connecting via zoom will be able to ask questions during the Q&A portion using the chat function.
Zoom link: https://ubc.zoom.us/meeting/register/u5UqcuyhpjwqHtO5tA9taQIP129Url0rVGzh
Talk title: Predictive, explainable, and autonomous AI for single-cell multi-modality biology
Abstract: Current biotechnologies can simultaneously measure multiple modalities (e.g., gene expression and electrophysiology) from the same cells. AI holds great promise for fully understanding such data, inferring how genes regulate cellular diversity, function, and disorder. This talk will cover my work and vision of how predictive, explainable, and autonomous AI models can enable data-driven single-cell biological insights, including navigating hypotheses for gene-to-function mapping and in silico perturbations of cell behavior that closely mirror the wet lab experiment. Finally, I will expand the definition of multi-modality and present my roadmap for building cellular digital twins.
