San Francisco Bay University Speaker Series
Lecture Hall 210 & Zoom
Esfandiar Bandari explores the exciting possibilities of machine learning and data science. He will highlight the potential of parallel algorithms and emphasize the importance of data preprocessing in building effective models. He encourages us to dream big about the impact of automatic programming, which could lead to increased productivity and experimentation across industries such as medicine, finance, and education. Finally, the question "What is missing?" invites us to consider the potential for STEM to drive future innovation and discovery.
- Topic: From Grassmann manifolds and LLMs to future of Data Science
- Date: Saturday, December 2nd, 2023
- Time: 1:30 - 2:45 PM PT
- Location: Lecture Hall 210 & Zoom
161 Mission Falls Ln, Fremont, CA 94539
Join the Zoom meeting here.
About the Speaker:
Esfandiar Bandari is a former NASA Scientist turned serial entrepreneur. He led teams towards award-winning AI and data-driven products, including the first Virtual Collaborative Clinic, Mars Rover’s visual odometry, cloud-based Natural Language Processing (NLP) products, and a multilingual language app. Esfandiar has been lucky enough to be educated at Berkeley (BSc, MSc), Stanford (MSc), Carnegie Mellon, U. of British Columbia (PhD), and Cambridge (MBA). He is on the Advisory Board of the Harvard Business School Startup Program in Northern California.