Five graduate students named Siebel Scholars

The Siebel Scholars Foundation has awarded fellowships to five Princeton University graduate students in computer science: Kun Woo Cho, Dan Friedman, Sunnie S. Y. Kim, Sadhika Malladi, Zirui Wang.

Now in its 24th year, the Siebel Scholars program annually recognizes students from graduate schools of business, computer science and bioengineering. The 78 distinguished fellows of the Class of 2025 join a worldwide network of more than 1,900 fellowship alumni.

Founded in 2000 by the Thomas and Stacey Siebel Foundation, the Siebel Scholars program awards grants to 16 universities in the United States, China, France, Italy and Japan. Selection for the fellowship is competitive and based on academic achievement and leadership. Siebel Scholars receive a $35,000 award for their final year of studies.

Kun Woo Cho is a Ph.D. candidate advised by Kyle Jamieson in the Princeton Advanced Wireless Systems Group. Her research goal is to build cross-layer designs of programmable, high-frequency smart surfaces, to make NextG networks faster, more interference-free, and more reliable.

Dan Friedman is a Ph.D. candidate working with Danqi Chen in the Princeton NLP group. He is interested in making large, neural language models easier to understand. 

Sunnie S. Y. Kim is a Ph.D. candidate advised by Olga Russakovsky. She works on responsible AI—specifically, on improving transparency, explainability, and fairness of AI systems and helping people have appropriate understanding and trust in them. 

Sadhika Malladi is a Ph.D. student advised by Sanjeev Arora. Her work focuses on using mathematical insights into deep learning (especially language models) to design and analyze performant and efficient algorithms.

Zirui Wang is a master's student advised by Danqi Chen. His research is on enhancing large language models with multimodal capabilities. 

Read the Siebel Scholars Foundation's announcement.