Speaker
Rana Shahout
Speaker Bio
Rana Shahout is a Postdoctoral Fellow at Harvard University and an incoming Assistant Professor in the Computer Science Department at the Technion. She received her Ph.D. in Computer Science from the Technion and previously worked as a Senior Software Engineer at NVIDIA. Her research combines machine learning, systems, and algorithmic theory to build adaptive, high-performance infrastructure. Rana is a recipient of the Schmidt Postdoctoral Award, the Zuckerman Postdoctoral Fellowship, and the Weizmann Institute Women’s Postdoctoral Career Development Award.
More Information:
Talks at this conference:
| 13:30 | Learning-Augmented Algorithms for Efficient LLM Systems Live |