About the speaker
Dr. Jianying Hu is IBM Fellow, Global Science Leader of AI for Health, Director of Healthcare and Life Sciences Research at IBM, and Adjunct Professor at Icahn School of Medicine at Mount Sinai. She is also the IBM Executive Partnership Leader of the Cleveland Clinic-IBM Discovery Accelerator. She has conducted and led extensive research in machine learning, data mining, statistical pattern recognition, and signal processing, with applications to healthcare analytics and medical informatics, business analytics, and multimedia content analysis, with recent efforts focusing on developing AI technologies for accelerated discovery of therapeutics.
About the speaker
Rediet Abebe is a Hector Endowed Fellow at the ELLIS Institute Tübingen, co-affiliated with the Max Planck Institute for Intelligent Systems, and Full Professor at the Tübingen AI Center. Abebe directs the AI & Mechanisms (AIM) Research Group, which studies principles of interaction in systems that allocate resources and opportunities. Abebe co-founded the ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO) and the decade-old global research initiative behind it. She serves as the Ethical AI Advisor to Zillow Group, Inc. and, since 2020, leads a large-scale investigation into software used as evidence in legal systems.
Previously, she was an assistant professor of computer science at the University of California, Berkeley, a visiting professor at Cornell Tech, and a Junior Fellow at the Harvard Society of Fellows. Abebe holds a PhD in computer science from Cornell University and graduate degrees in mathematics from Harvard University and the University of Cambridge. Her work has been recognized with the Andrew Carnegie Fellowship, the ACM SIGKDD Dissertation Award, and MIT Technology Review’s 35 Innovators Under 35