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Ruishan Liu Joint CS/ECE Faculty Candidate Seminar

Event Type
Electrical and Computer Engineering and Computer Science
2405 Siebel Center for Computer Science and Zoom
Feb 16, 2023   11:00 am - 12:00 pm  
Dr. Ruishan Liu, Postdoctoral Researcher, Stanford University
Angie Ellis
Originating Calendar
Illinois ECE Calendar

Dr. Ruishan Liu

Postdoctoral Researcher, Stanford University

Joint CS/ECE Faculty Candidate Seminar

Thursday, February 16, 2023, 11:00am-12:00pm

2405 Siebel Center for Computer Science and Online via Zoom

Title: Machine learning for precision medicine 

Abstract: Toward a new era of medicine, our mission is to benefit every patient with individualized medical care. This talk explores how machine learning can make precision medicine more effective and diverse. I will first discuss Trial Pathfinder, a computational framework to optimize clinical trial designs (Liu et al. Nature 2021). Trial Pathfinder simulates synthetic patient cohorts from medical records and enables inclusive criteria and data valuation. In the second part, I will discuss how to leverage large real-world data to identify genetic biomarkers for precision oncology (Liu et al. Nature Medicine 2022), and how to use language models and causal inference to form individualized treatment plans.

Biography: Ruishan Liu is a postdoctoral researcher in Biomedical Data Science at Stanford University, working with Prof. James Zou. She received her PhD in Electrical Engineering at Stanford University in 2022. Her research lies in the intersection of machine learning and applications in human diseases, health, and genomics. She was the recipient of Stanford Graduate Fellowship and was selected as the Rising Star in Data Science by University of Chicago, and the Rising Star in Engineering in Health by Johns Hopkins University and Columbia University. She led the project Trial Pathfinder, which was selected as Top Ten Clinical Research Achievement in 2022 and Finalist for Global Pharma Award in 2021.

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