Leland Bridge is thrilled to host this seminar aimed at equipping our students to thrive in the AI era and prepare for AI’s impact on future careers. We have invited panelists from diverse industries to discuss how AI is transforming their fields and to provide career insights to our students. Below, you’ll find the event agenda and the speakers bio.

Event Schedule:

7 :00-8:00 pm Panel with Guest Speakers

8 :00-8:30 pm Q&A

Space is limited. RSVP today!

To support Leland Bridge, a $5 donation for each attendee is recommended while ordering your ticket. You also can use promo code "LB2024NOV" to get your FREE admission. We appreciate all the support to Leland Bridge! Thank you for your generosity!

For any questions, please contact events@lelandbridge.org.

Speaker Bios:

Triston Cao, Sr. Deep Learning Software Engineering Manager, NVIDIA

Triston leads the Graph Neural Network engineering team at NVIDIA, where he drives research and co-development of open-source projects like PyTorch Geometric, Deep Graph Library. Previously, he managed or co-led several deep learning framework teams at NVIDIA. Prior to his tenure at NVIDIA, Triston worked at Cadence Design Systems, focusing on R&D for EDA tools related to signal and power integrity simulations. He holds a Ph.D. in Electrical and Computer Engineering.

YunPei Chang, Senior Manager in Technology Development, Guardant Health

YunPei graduated with a Ph.D. in biophysics from UC Berkeley, where she explored how physics and engineering could help solve puzzles in complicated biological systems. This interdisciplinary path led her to medical diagnostics, where she spent the next ten years developing innovative biosensors to help diagnose conditions like traumatic brain injuries, heart attacks, and drug-of-abuse. Five years ago, she joined Guardant Health, a leading precision medicine company, she has seen firsthand how big data and machine learning play a central role in building these diagnostic tests and how they directly impact cancer patients.

Katie Stevo, Machine Learning Engineer, Apple

Katie recently graduated from Georgia Tech with a Bachelor’s and master’s in computer science. Previously, she has interned at Apple, Microsoft (Azure), and Ford Motor Company (autonomous vehicle team). Her diverse background and passion for innovation drive her work in advancing machine learning technologies.

Qi Xu, Machine Learning Engineer, Meta

Qi is a Machine Learning Engineer at Meta, where he helped develop large scale AI systems for company’s monetization. His role involves creating algorithms and ML models for personalized advertisement recommendations and user behavior understanding. Before joining Meta, he worked at LinkedIn on their newsfeed ranking system.

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From Classroom to Career - Thrive in AI Era