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Schedule

Below is the agenda for the 2024 Computational Research Symposium.

Agenda Heading link

The 2024 Computational Research Symposium will be held on Tuesday, April 16, 2024 at UIC Student Center East, 750 S. Halsted, Room 605. Registration will be required. This event is part of UIC’s inaugural research week,  taking place from April 15th to April 19th, 2024.

12:00pm-01:00pmLunch, Registration & Poster Viewing
1:00pm-1:15pmHimanshu Sharma
Welcome and Opening Remarks
Lightning Talks (15 minutes each & 5 minutes Q&A)
1:15pm-1:35pmMoontae Lee
"The Art of Generative AI: Technology, Safety, and Ethics"
1:35pm-1:55pmIan Kennedy
"Supportive Gender Discourse on Reddit"
1:55pm-2:15pmSpyros Kitsiou
"iCardia: A novel digital health platform"
2:15pm-2:35pmMohammed Elnagar
"Revolutionizing Oral Health Care: Embracing the Future with AI Algorithms"
2:35pm-2:55pmFatemeh Khalili Araghi
"Large scale modeling and simulation of biological complexes and materials"
2:55pm-3:15pmAnita NIkolich
“AI Red Teaming for Science”
03:15pm-03:30pmCoffee Break & Poster Viewing
Keynote Address
03:30pm-04:15pmYuan Luo
Chief AI Officer, Northwestern University
"Building AI infrastructure and training resources for a learning health system"
04:15pm-04:30pmAnnouncement of Poster winners and Closing Remarks

Speakers Bios Heading link

Moontae Lee is an assistant professor of Information and Decision Sciences at the University of Illinois Chicago. Concurrently, he leads the Advanced Machine Learning Laboratory at LG AI Research as a research fellow. His journey to Large Language Models started when he was invited to Microsoft Research Redmond as a visiting scholar on 2019. Then he continued to work multiple years as a consulting professor of the Deep Learning Group for the ambitious Universal Language Modeling projects. Moontae has served as an area chair/senior program committee of NeurIPS, ICML, ICLR, ACL, NAACL, EMNLP, AAAI, AISTATS, and CVPR.

Dr. Ian Kennedy is a computational social scientist who studies race, gender, and community. Their work has examined racialized discourse in Craigslist rental advertisements, political misinformation from the 2020 presidential election on Twitter, and how legal financial obligations make poor neighborhoods poorer. They are an assistant professor of Sociology here at UIC and got their PhD from the University of Washington in Seattle.

Dr. Spyros Kitsiou is an Associate Professor in the Department of Biomedical and Health Information Sciences, Principal investigator of the mHealth Innovation Lab, and Associate Chief Research Information Officer in the Office of Vice Chancellor for research at UIC. He leads a multi-million research portfolio with funding from the National Institutes of Health. His research focuses on the design, development, and evaluation of mobile health technology interventions for the self-management of chronic diseases and the promotion of healthy lifestyle behaviors.

Dr. Mohammed Elnagar is an Assistant Professor in the Department of Orthodontics at the University of Illinois Chicago (UIC). He completed a joint Ph.D. program and Orthodontics Specialty training at UIC. Additionally, he holds a certificate in Artificial Intelligence applications in healthcare from the Massachusetts Institute of Technology (MIT). Furthermore, he serves as the Director of the Digital and AI Laboratory at UIC College of Dentistry, Department of Orthodontics, and has received multiple national awards for his contributions to the field of AI. Most notably, in 2023, he was honored with the Burstone-Indiana Biomechanics Award for his work on emerging technologies and was designated as a Burstone Fellow in Biomechanics.

Dr. Khalili-Araghi is a computational biophysicist and an expert in modeling membrane proteins and channels. She obtained her B.S. in Physics from Sharif University of Technology, and her PhD from the University of Illinois at Urbana-Champaign in 2010. She finished her postdoctoral studies at U. Chicago and joined UIC in 2013. She continued her work on simulations and modeling of macromolecular assemblies and ion transport. Her work on tight junctions led to the development of the first model of claudin channels. This model led to the discovery of novel inhibitors in claudin channels that are being developed for the treatment of IBD. She is the recipient of an NSF CAREER award for her work on tight junctions. She has been an active user of ACER resources and the PI of several supercomputing grants at PSC, NCSA BlueWaters and one of the first users of the Frontera machine at TACC.

Anita Nikolich is a Research Scientist and the Director of Research and Technology Innovation at the University of Illinois’s School of Information Sciences and Director of Security Research at Inca Digital, a digital asset analytics company. She is Co-PI of several NSF and DARPA funded projects. She has worked in multiple technical leadership positions in both industry and government, including serving as an NSF Program Director.

Dr. Yuan Luo is Chief AI Officer at the Clinical and Translational Sciences Institute (NUCATS) and Institute for Augmented Intelligence in Medicine, and Associate Professor at the Department of Preventive Medicine, at Feinberg School of Medicine at Northwestern University. Globally recognized for his leadership and significant contributions to biomedical AI, Dr. Luo has earned prestigious titles including Fellow of the International Academy of Health Sciences Informatics (IAHSI), Fellow of the American College of Medical Informatics (ACMI) and Fellow of the American Medical Informatics Association (AMIA).

A visionary leader in the field, Dr. Luo is at the forefront of building next-generation informatics and collaborative AI within the healthcare enterprise. His exemplary leadership shapes strategies across various levels, ranging from university settings to entire health systems to national research consortia. With a commitment to democratizing AI literacy, Dr. Luo has been featured in eminent venues such as The Economist, JAMA Network and Becker’s Hospital Review to share unique visions on delivering data and AI strategies that power Research & Development and drive business value.