About

XI "BILL" CHEN, Ph.D., MA, is a senior software engineer developing simulation apps with Python and optimizing data collection pipelines at Meta. He defines roadmaps and machine learning and deep learning applications, synthetic data generation, and performs user data integrity and anomaly analysis while collaborating with multiple teams to increase ML development velocity. Formerly he was a certified instructor at the Nvidia Deep Learning Institute, where he trained developers and data scientists, organized workshops on various topics, and facilitated research on using AI and GPU computing to solve real-world problems. He has also worked as a lead computational biologist, ML engineer and data scientist. He has a doctorate in Philosophy in Bioinformatics and a master's degree in Statistics from the University of Kentucky.

Xi "Bill" Chen's courses currently open for enrollment

Introduction to Machine Learning

AISV.X400
$980
Xi "Bill" Chen
Jan. 13 - Mar. 17, Tuesday, 6:00pm - 9:00pm
  • Flexible Attend in person or via Zoom at scheduled times.
AISV.X400.(44)
Schedule
Date Start Time End Time Meeting Type Location
Tue, 01-13-2026 6:00pm 9:00pm Flexible SANTA CLARA / REMOTE
Tue, 01-20-2026 6:00pm 9:00pm Flexible SANTA CLARA / REMOTE
Tue, 01-27-2026 6:00pm 9:00pm Flexible SANTA CLARA / REMOTE
Tue, 02-03-2026 6:00pm 9:00pm Flexible SANTA CLARA / REMOTE
Tue, 02-10-2026 6:00pm 9:00pm Flexible SANTA CLARA / REMOTE
Tue, 02-17-2026 6:00pm 9:00pm Flexible SANTA CLARA / REMOTE
Tue, 02-24-2026 6:00pm 9:00pm Flexible SANTA CLARA / REMOTE
Tue, 03-03-2026 6:00pm 9:00pm Flexible SANTA CLARA / REMOTE
Tue, 03-10-2026 6:00pm 9:00pm Flexible SANTA CLARA / REMOTE
Tue, 03-17-2026 6:00pm 9:00pm Flexible SANTA CLARA / REMOTE
 

Students may still enroll if they missed the 1st class session. However, they need to communicate with the instructor via Canvas and catch up on all missed work prior to the 2nd class meeting.

This class meets simultaneously in a classroom and remotely via Zoom. Students are expected to attend and participate in the course, either in-person or remotely, during the days and times that are specified on the course schedule. Students attending remotely are also strongly encouraged to have their cameras on to get the most out of the remote learning experience. Students attending the class in-person are expected to bring a laptop to each class meeting.

To see all meeting dates, click "Full Schedule" below.

You will be granted access in Canvas to your course site and course materials approximately 24 hours prior to the published start date of the course.

Programming Tools: Current version of Python with ability to install packages as needed.

AISV.X400
$980
Xi "Bill" Chen
Apr. 8 - Jun. 10, Wednesday, 6:00pm - 9:00pm
  • Flexible Attend in person or via Zoom at scheduled times.
AISV.X400.(45)
Schedule
Date Start Time End Time Meeting Type Location
Wed, 04-08-2026 6:00pm 9:00pm Flexible SANTA CLARA / REMOTE
Wed, 04-15-2026 6:00pm 9:00pm Flexible SANTA CLARA / REMOTE
Wed, 04-22-2026 6:00pm 9:00pm Flexible SANTA CLARA / REMOTE
Wed, 04-29-2026 6:00pm 9:00pm Flexible SANTA CLARA / REMOTE
Wed, 05-06-2026 6:00pm 9:00pm Flexible SANTA CLARA / REMOTE
Wed, 05-13-2026 6:00pm 9:00pm Flexible SANTA CLARA / REMOTE
Wed, 05-20-2026 6:00pm 9:00pm Flexible SANTA CLARA / REMOTE
Wed, 05-27-2026 6:00pm 9:00pm Flexible SANTA CLARA / REMOTE
Wed, 06-03-2026 6:00pm 9:00pm Flexible SANTA CLARA / REMOTE
Wed, 06-10-2026 6:00pm 9:00pm Flexible SANTA CLARA / REMOTE
 

This class meets simultaneously in a classroom and remotely via Zoom. Students are expected to attend and participate in the course, either in-person or remotely, during the days and times that are specified on the course schedule. Students attending remotely are also strongly encouraged to have their cameras on to get the most out of the remote learning experience. Students attending the class in-person are expected to bring a laptop to each class meeting.

To see all meeting dates, click "Full Schedule" below.

You will be granted access in Canvas to your course site and course materials approximately 24 hours prior to the published start date of the course.

Programming Tools: Current version of Python with ability to install packages as needed.

Associated Program(s)
Artificial Intelligence Application Development
Computer Programming
Data Science and Data Analytics
Artificial Intelligence
Machine Learning with Python