Kuan-Chuen Wu was born in Taipei, Taiwan, in 1973, and nine years of piano lessons constitute his musical studies.

Mr. Wu has excelled in academia, receiving his bachelor’s degree in electrical computer systems engineering from Harvard University in a five-year honors program, an MBA from Iowa State University, and a master’s degree in computational and mathematical engineering from Stanford University.

He is currently pursuing his doctorate in mechanical engineering from Iowa State. (After graduating from Harvard, he spent five years surfing the dot-com wave before returning to school.) Mr. Wu competed in university-wide competitions at Iowa State.

In 2014, he placed third in the American Protégé International Concerto Competition and in December 2015, performed at Carnegie Hall as part of a winner’s recital. Besides classical piano, Mr. Wu counts chess, mathematics, engineering, and physics among his interests.

Adeesh leads development of artificial intelligence education at Inspirit AI, including partnering with several leading K12 schools across the world. Previously, he completed a Master’s in Management, Science & Engineering at Stanford University, with a focus on applied artificial intelligence. He also previously worked at Applied Predictive Technologies, a data science consulting for large Fortune 500 brands, to implement data-driven methods to enhance their impact.

Ronil has a Master’s in Engineering, Mechatronics, Robotics, and Automation Engineering from University of Pennsylvania. He has his Bachelor’s in Bioengineering and Biomedical Engineering from UPenn as well. He currently works as a data scientist at Kaiser Permanente and has experience as a data scientist, UX developer, and full stack engineer.

Stanford PhD Candidate

Hi, I’m Akshay! I’m a PhD student studying computational neuroscience at Stanford University. My research focuses on understanding human visual perception – specifically, I’m interested in how the human brain transforms sensory inputs into the rich perceptual experience that we use to guide our behavior. In addition, I love to teach and have taught and designed several courses both at Stanford, and at UC Berkeley, where I received my undergraduate degrees in computer science and cognitive science. In my free time, I love to bike, read, hike, and cook / eat delicious foods.

Harvard B.S.

Carnegie Mellon PhD

Hello, I’m Theresa! I’m originally from Germany and one of four kids. I studied Statistics and Computer Science at Harvard and went on to pursue a PhD in Statistics at Carnegie Mellon. I am really passionate about applying data science to healthcare and teaching probability, statistics, and machine learning. One of my favorite projects was identifying potential cancer drugs using computer vision algorithms on images of human cancer cells. Currently, I am working on analyzing fairness and bias in a healthcare AI system. In my free time, I like catching up with my friends and family, weight lifting and hiking, reading, and painting.

Hi, I’m Clayton Greenberg and I was a professor in the Computer and Information Science department at the University of Pennsylvania. Students are sometimes quite surprised to learn that there is much more to computer science than programming, but this is really an opportunity in disguise. It means that you are capable and welcome to do cool computational projects even if you didn’t learn how to program during kindergarten 🙂 My favorite classes to teach provide students with the mathematical background that they need to be successful in computer science and its young cousin, data science. In my spare time, I like to troll Siri. (My Ph.D. dissertation, Evaluating Humanness in Language Models, focuses on this.) And I like to sing. I did a lot of singing at Princeton, leading to YouTube videos that my students “discover” every semester. Perhaps it was a little too much singing and not enough studying, but this leads to my best advice for college: pick the program that fits you, rather than changing yourself to fit the program.

Stanford Masters Student, Electrical Engineering

Hey I’m Ben! I’m a masters student at Stanford studying Electrical Engineering. I’m really interested in exploring how AI can be used to combat climate change. Specifically, my past research has focused on making cities smarter and more sustainable through prediction modeling and agriculture more productive through computer vision. In my free time, I really enjoy finding new R&B music and taking care of houseplants!

Stanford PhD Candidate, Computational Genomics

Hi! I’m Brianna. I’m a PhD student at Stanford studying computational genomics, which means I write programs, develop algorithms, and build machine learning models to find patterns in DNA and figure out how those patterns relate to diseases or fundamental biology.  I also love teaching and mentoring — my students always teach me so many different ways of looking at the world! Outside of research, I love all things outdoors: skiing, rock-climbing, and trail-running.

MS, BS, Stanford, Computer Science

I’m Sam! I build large-scale machine learning systems for autonomous vehicles at Waymo. Previously, I received my MS and BS in Computer Science at Stanford. A fun fact is that I was on the varsity fencing team during my undergrad. I TA’d graduate-level AI courses at Stanford, and to this day teaching has been a passion of mine. https://drive.google.com/file/d/1G2ikx02Hx8KuQX-rJpmM9HJ65K2Jw5Gt/view?usp=sharing