George Wang

Year in School
Sophomore

Major
Computer Science + Education: Learning Sciences

Research Interests

Research Mentor

Research/Engagement Experience

Interests

Project Title

How did I get interested in Computer Science?
I realized the biggest bottleneck in education is the lack of personalized delivery. I pursued CS+Ed to build scalable, AI-driven systems that serve as intelligent, personalized mentors for students.

What social interests matter to me?

Why did you choose Illinois?
I chose UIUC because the university offers an unparalleled ecosystem where world-class theoretical computer science meets hardcore engineering. The ability to join top-tier research labs as a freshman and the massive support for student entrepreneurship made it my definitive top choice.

What are your passions outside of computing?
Personally, I play a lot of strategic games, I like horse riding and ice skating, and I've been doing them for over 7 years now.

What has been one of your favorite experiences at Illinois that you would like to share with prospective students? (For Continuing UIUC Students)
My favorite experiences stem from the moment I led the development of IGuide and secured our first commercial B2B sponsorship. It taught me how to blend the technical rigor I learned in UIUC CS courses with real-world product-market fit.

What has been one of your favorite experiences as a CS STAR? (For Returning CS STARS)

What is my most impactful college experience?

These are a few of my favorite things!
Flavorful food, connection, and nice cozy afternoon.

Research Description

Biography
Zhineng (George) Wang is a CS+Education Chancellor’s Scholar at UIUC. Passionate about LLMs and autonomous agents, he conducts research in the TIMAN Group. His technical background spans engineering high-performance parallel algorithms in the Parasol Lab to applying computational methods in the Schleife Group. Beyond research, George is the founder of IGuide, a commercialized vertical AI agent designed to streamline campus onboarding. As a recognized CS STARS participant, We CU Scholar, ACM student member, City Scholar, and Undergraduate Grievance Committee member, he aims to bridge rigorous AI theory and robust, real-world systems to democratize personalized education.