The Siebel Scholars Foundation has awarded fellowships to five Princeton University graduate students in computer science: Linrong Cai, Peter Halmos, Nicolaas Kaashoek, Stephen Newman and Anchengcheng Zhou.
Now in its 26th year, the Siebel Scholars program annually recognizes students from graduate schools of business, computer science and bioengineering. The 72 distinguished fellows of the Class of 2027 join a worldwide network of 2,000 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.
Linrong Cai is a master's student advised by Zhuang Liu. His current research focuses on reasoning in vision-language models.
Peter Halmos is a Ph.D. candidate advised by Benjamin Raphael. His research focuses on foundational machine learning, optimal transport, and AI for science, with applications to single-cell and spatial biology.
Nicolaas Kaashoek is a Ph.D. candidate advised by Wyatt Lloyd. He is broadly interested in distributed systems and cloud storage. Current research focuses on how we can best make use of new execution locations as the cloud continues to expand, moving applications out of the datacenter and closer to users.
Stephen Newman is a Ph.D. candidate advised by Mark Braverman and Matt Weinberg. His research focuses on online selection problems. Current research looks at how cryptography can help computer scientists build more efficient algorithms and protocols even when privacy isn’t a concern.
Anchengcheng Zhou is a PhD candidate advised by Maria Apostolaki. I am broadly interested in networks and systems, including their intersections with machine learning.
Read the Siebel Scholars Foundation's announcement.