Instructor Harry Sha Applies His Skills in Supervised and Unsupervised Learning to Uncover Hidden Economic Trends

Harry Sha is pursuing a Master’s degree in Computer Science at Stanford University. Particularly passionate about Math and computer science theory, he has done research on boolean formulae, and he also has experience in applying supervised and unsupervised learning to understand economic trends in the US.

HOW DID YOU DECIDE TO STUDY AI AND COMPUTER SCIENCE IN GENERAL?

“I came into college thinking I was going to study psychology and music. I took an intro to CS during my first two-quarters of Stanford and just really enjoyed it -- so much so that it made me switch to a CS major! I found it really exciting and empowering to suddenly be able to solve problems that I previously had no clue how to solve. I would eventually switch to become a math major, focusing on theoretical computer science and AI.”


WHAT WOULD BE YOUR ADVICE TO STUDENTS INTERESTED IN AI, STARTING THEIR JOURNEY IN THE FIELD?

“Find something that you're super interested in and work on it, even if you have no clue what you're doing! Getting stuck and unstuck in a project is a really great way to develop your skills and gain confidence.”


WHAT IS YOUR FAVORITE PART OF TEACHING AI WITH INSPIRIT?

“Final presentations are always a highlight. Seeing my students' progress and ability to explain concepts and field questions about CNN’s, transfer learning and overfitting makes me feel so proud of them!”

Previous
Previous

Instructor Anna Sappington Sees Biology as Untapped Data Source Ready for AI Applications, But Not Without Barriers in Bias and Ethics

Next
Next

As an Engineer for Amazon’s Alexa, Instructor Aansh Shah Designs AI That Changes the Way We Live