HotCSE Seminar: Jiaming Cui

Name: School of CSE Ph.D. Candidate Jiaming Cui

Date: Wednesday, March 6, 2024 at 11:00 am

Location: Coda Building, Second Floor, Room 230 (Google Maps link)

Lunch will be provided!

Title: Bridging Public Health with Clinical Decisions from a Data Centric Perspective

Abstract: Public health and clinical decisions are intertwined. Public health crises place a high burden on healthcare facilities, forcing them to make decisions such as maintaining quality vs. treating more people. Meanwhile, sub-optimal clinical decisions also cause downstream effects on communities, like discharging patients too early might increase disease spread. My work brings a data-centric perspective to bridge clinical decisions within the context of infectious diseases for public health. My work addresses multiple challenges arising from effectively utilizing rich clinical datasets, and issues stemming from the complexity of disease spread dynamics in healthcare facilities. This talk will cover methods I have developed to address these challenges with better-designed models to optimize disease surveillance and control policy, and new techniques for end-to-end learning with mechanistic epidemiological models. I will conclude by discussing new challenges and opportunities in infectious diseases and pandemic response for computer scientists, epidemiologists, and computational biologists.

Bio: Jiaming Cui is a Ph.D. candidate in the College of Computing at Georgia Tech, advised by Associate Professor B. Aditya Prakash. His research aims to bridge public health with clinical decisions using epidemiological modeling and machine learning (ML). He has published in leading science journals and top CS venues such as PNAS, Scientific Reports, NeurIPS, ICML, AAAI, and has organized workshops at leading conferences like KDD. He has closely collaborated with clinicians, and his work has been applied in multiple healthcare facilities. His work has also significantly contributed to pandemic prediction and prevention in the past several years, including winning global data science competitions, helping decision-making in healthcare facilities, and participating in the CDC's healthcare-associated infections team.

About HotCSE

HotCSE is an academic seminar series to bring Ph.D. students in Computational Science and Engineering together to discuss interesting topics. The topics consist of high-performance computing, machine learning, data analysis, simulation, computational sustainability, medical informatics, etc.

The talks have always been enjoyable and have ranged from quite informal to formal conference style talks. Either chalks or slides can be used to help people understand your talk. It is also a great forum to practice conference talks and bounce around new ideas.

Currently the talks are sponsored by the School of Computational Science and Engineering. The goal of CSE is slightly broader than that of these talks - we want to bring more people outside CSE to discuss their related work here.

All talks are free and open to the public. Besides, LUNCH is provided!!!

If you are interested in participating as a future HotCSE speaker, please fill in this form.

If you are interested in helping with HotCSE or other GSA-organized events, please fill in this form.