Optum Labs / UCLA AI in Healthcare Hub
Optum Labs (R&D of UnitedHealth Group) and the UCLA Department of Computational Medicine are engaging in a partnership in Machine Learning for Healthcare and Biomedical Sciences. Supported by grants from Optum Labs, the collaboration seeks to advance foundational methods development work in AI/ML and deploy AI/ML to advance precision healthcare.
Optum Labs is the research and development arm of UnitedHealth Group. With the mission to help people live healthier lives and help make the health system work better for everyone, Optum Labs’ world-class experts use data, artificial intelligence, machine learning, clinical and scientific research, and disruptive product development to solve healthcare’s biggest challenges.
Optum-UCLA Partnership Kick-Off Event on Tues. Dec. 6 (RSVP by Nov. 30)
On December 6th, many researchers from Optum Labs will be visiting UCLA for a kickoff meeting of the AI in Healthcare Hub. This is a great opportunity for UCLA researchers to engage with Optum Labs researchers and start collaborations that may be funded through the Hub. A networking mixer and AI in Healthcare Hub personnel will help establish connections. If interested in collaboration and funding, please indicate this in the registration form.
The event will be held in the Mong Auditorium (Engineering VI) and will include a continental breakfast and a reception.
Please RSVP by November 30.
AGENDA
8:30 - 9:25 am Registration Check-In/Morning Refreshments/Networking Mixer (Engineering VI, Level 1 Lobby)
9:25 - 9:30 am Welcome and Introductions (Engineering VI, Mong Auditorium)
9:30 am - 11:10 pm | Research Presentations
9:30 - 9:55 am ► Eleazar Eskin | UCLA, Computational Medicine and Computer Science
9:55 - 10:20 am ► Nanyun (Violet) Peng | UCLA, Computational Medicine and Computer Science
"Discourse-Level Natural Language Understanding for Biomedical Information Extraction"
10:20 - 10:45 am ► Corey Arnold | UCLA, Radiology, Pathology, Bioengineering, and Electrical & Computer Engineering
"Computational RadPath Imaging in Prostate Cancer"
10:45 - 11:10 am ► Sriram Sankararaman | UCLA, Computational Medicine and Computer Science
"Interpretable Deep Learning for Biomedical Discovery"
11:15 am - 12:00 pm | UCLA / Optum Vision Session
11:15 -11:30 am ► Dean Steven Dubinett | UCLA - DGSOM and Dean Bruce Dunn | UCLA - Samueli School of Engineering
11:30 am - 11:45 pm ► Ranju Das | CEO Optum Labs
11:45 pm - 2:00 pm | Lunch Break & Tour of the SwabSeq Lab
2:00 pm - 4:20 pm | Research Presentations
2:00 - 2:30 pm ► Judea Pearl | UCLA, Computer Science
"Welcome to the Age of Causation - Introduction to personalized Health Care"
2:30 - 2:55 pm ► Loes Olde Loohuis | UCLA, Computational Medicine, Psychiatry, and Human Genetics
"Genetics of Psychiatric Disease Trajectories"
2:55 - 3:10 pm ► Jeff Chiang | UCLA, Computational Medicine
"Computational Recommendations for Patient Flow Management"
3:10 - 3:35 pm ► Achuta Kadambi | UCLA, Electrical & Computer Engineering
"Equitable Optics: Achieving Fairness in Medical Devices through AI and Sensor Design"
3:35 - 4:00 pm ► Eran Halperin | Optum Labs | UCLA
4:00 – 4:40 pm Networking Mixer, First Floor Patio, Eng VI
The previous Request for Proposals closed on October 31st, 2022. A new Request for Proposals will be released in early 2023.
The previous Request for Proposals can be found here.
Sign up for Optum Labs / UCLA Partnership RFP and Events Emails
Steering Committee
Rahul Bhotika | Optum Labs
SVP, Research
Eran Halperin | Optum Labs
SVP, Machine Learning and AI
Professor (on leave) | UCLA
Romy Hussain | Optum Labs
Technical Advisor to the CEO
Sriram Sankararaman
Associate Professor | UCLA
Departments of Computer Science, Computational Medicine, and Human Genetics
Daniel J. Tward
Assistant Professor | UCLA
Departments of Neurology, and Computational Medicine
Loes M. Olde Loohuis
Assistant Professor-in-Residence in Psychiatry and Biobehavioral Sciences | UCLA
Departments of Psychiatry and Biobehavioral Sciences and Human Genetics
Eleazar Eskin
Professor and Chair | UCLA
Department of Computational Medicine