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Assistant Professor
Computer and Data Sciences

Xiaotian Han is passionate about leveraging cutting-edge AI techniques to solve complex problems, pushing the boundaries of what technology can achieve. 

“I chose to study computer science due to my fascination with machine learning and its impact on our world,” Han shared.

With a bachelor’s in information and communication engineering and a master’s and PhD in computer science, Han’s expertise has led him to work at companies like Snap Inc., Amazon and Iambic Therapeutics, where he provided insights into large-scale machine learning problems.

Han’s work bridges the gap between theoretical advancements and practical implementations, making AI more efficient, reliable, and accessible. His journey started with hardware programming and embedded systems, which gradually led him to AI and machine learning. 

“This hands-on experience with hardware provided a solid foundation for understanding the digital world,” he said. “[Computer science] allowed me to combine my interest in AI with practical skills, positioning me to explore cutting-edge machine learning technologies.”

Now, as an assistant professor of computer and data sciences, Han is exploring advancements in Large Language Models (LLMs)—advanced computer programs that can understand and generate human language—aiming to improve their inference efficiency and reliability.

What are you most looking forward to at �ǿմ�ý?

I'm particularly excited about the collaborative opportunities within the university's diverse and interdisciplinary community and bringing my knowledge of machine learning and artificial intelligence to this energetic interdisciplinary research community.

Do you have any personal goals, hobbies, family, interests that you would like to share?

I would like to study and catch up on the latest developments in machine learning and artificial intelligence; help my students achieve their goals; conduct innovative research; and make a positive social impact.

What’s one piece of advice you have for students? Or what’s a great piece of advice you’ve received?

My advice for students is: Embrace the cutting edge of AI technology. Don't just learn the theory—get hands-on experience. Try coding your own neural networks and experiment with training them.