Graduate Student Seminar Series – Alice Feng

Graduate Student Seminar Series
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Location: MS2158 – 1 King’s College Circle
Presentation Title: Discovery of Cell Culture Media Formulations through a Hybrid Active Learning Algorithm
Abstract: Optimizing xeno-free and chemically defined (XFCD) cell culture media is essential for producing safe and contaminant-free stem and progenitor cells. This work describes HiDiNeu, a hybrid optimization algorithm that combines differential evolution and various machine learning models to address the complexity of optimizing 14-100 supplement factors during an active learning process. Based on the High Dimensional Differential Evolution (HDDE) framework, HiDiNeu has previously discovered serum equivalent formulations more efficiently during in silico (computer based) testing. In this study, we extend validation to in vitro (direct in laboratory) experiments, integrate and compare additional machine learning models, and benchmark HiDiNeu against existing optimization algorithms to evaluate comparative performance. These efforts move towards a more reliable and scalable platform to develop XFCD media that better supports stem cell growth.
Supervisor Name: Julie Audet
Year of Study: 3
Program of Study: MASc
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