Computer Science

Talk by Dr. Junwei Zhang
Tech Lead Engineer/Investment Director

Date: March 8th
Time: 3:00PM - 4:00PM
Location: Online
Teams link: Click here to join the meeting
Email: junweizhang23@gmail.com

Abstract: In today's fast-paced digital world, Artificial Intelligence (AI) is transforming industries and driving the growth of startups. Junwei Zhang, with experience at Uber, Microsoft, and DoorDash, will share how Al can be integrated into new businesses, highlighting both challenges and opportunities.

With a background in computer vision and parallel computing, and hands-on leadership in tech projects, Zhang will discuss his journey through the dynamic tech and investment scene in Silicon Valley. The talk will focus on the latest developments in Al and the essentials of startup growth and venture capital, all based on his real-world experiences.

This session is intended as a mutual exchange of ideas, offering practical insights into how technology and entrepreneurship come together. It aims to inspire students with a clear understanding of the Al field and provide actionable advice for those interested in starting their own ventures or exploring the world of investment. Join us to learn how Al and entrepreneurship can shape the future and drive innovation.

Brief Bio: I am Junwei Zhang, and I am both an engineer and a venture capital investor with a robust background in technology and research. I earned my Ph.D. in Applied Mathematics and Statistics from Stony Brook University in New York. My journey in the tech industry began prior to the Uber IPO when I joined Uber as a software engineer. Following this, I embarked on roles within the Microsoft Azure Cloud + AI team and the DoorDash Growth team, contributing to significant projects and innovations. In addition to my industry experience, I serve as an associate editor for the IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), where I oversee contributions in areas pivotal to our field. My academic contributions include over 10 papers published in top-tier conferences and journals such as ICCV, CAD, CAGD, and TPDS, covering a range of topics from computer vision to geometry processing and parallel computing.
Venture capital investment is another avenue through which I engage with the tech ecosystem. I have led investments in startups, including those that empower Stanford researchers to leverage new AI technologies for mental health initiatives. Moreover, I am an active board member of a Silicon Valley-based tech entrepreneurship leadership community, where we organize monthly webinar discussions to foster innovation and leadership in the tech sector.