The University of Chicago has recently created a Committee on Computational and Applied Mathematics (CCAM), an inter-departmental program to provide graduate training leading to the Ph.D. in Computational and Applied Mathematics. Please note our application for Fall 2018 is now closed as the deadline of January 15, 2018 has passed.
The use of computational, mathematical and statistical modeling in various areas of science has increased dramatically in recent years, triggered by massive increases in computing power and data acquisition. Mechanistic models for physical problems that reflect underlying physical laws are being combined with data-driven approaches in which statistical inference and optimization play key roles. These developments are transforming research agendas throughout statistics and applied mathematics, and are impacting a broad range of scientific disciplines.
A critical need now exists to train the next generation of computational and applied mathematicians to confront data-centric problems in the natural and social sciences. In response to these developments, the Committee on Computational and Applied Mathematics has been formed to provide graduate training in Computational and Applied Mathematics that reflects both the scientific demands and the unique strengths of the University of Chicago faculty across the Division of the Physical Sciences, including the recent hiring of several new faculty under a Computational and Applied Mathematics Initiative (CAMI).
Congratulations to Dr. Wenjia Jing and Dr. Ke Ye on being selected for the 2017 Thousand Talents Program for distinguished young scholars in China. Wenjia Jing was a Dickson Instructor advised by CAM faculty Takis Souganidis and before that a PhD student at Columbia University advised by CAM faculty Guillaume Bal. He is now an assistant professor at Tsinghua University. Ke Ye was a Dickson Instructor and CAM postdoc advised by CAM faculty Lek-Heng Lim. He is now an associate professor at the Chinese Academy of Sciences (CAS) and has also been selected for the CAS's Hundred Talents Program. Further information may be found in Chinese here, here, and here.
The Toyota Technological Institute at Chicago (TTI Chicago) and the Committee on Computational and Applied Mathematics (CCAM) at University of Chicago will jointly organize a two-week Introduction to Machine Learning Summer School as part of an NSF funded Research Training Group (RTG) grant. It will take place from June 18, 2018--June 29, 2018 at TTI Chicago. Please refer to our webpage for further information and application details.
Justin Finkel was recently selected for a highly competitive Department of Energy (DOE) Computational Science Graduate Fellowship. Justin’s research goals include developing and extending more flexible data-driven methods to analyze and forecast climate dynamics. As a first year PhD student, Justin has been pursuing an interdisciplinary line of study, augmenting the CAM courses with courses in geophysical fluid dynamics. The DOE CSG Fellowship will support Justin’s study for 4 years, and provide him with additional opportunities such as a 12 week practicum experience at a DOE lab. Justin came to U.Chicago after undergraduate study at Washington University in St. Louis where he majored in both mathematics and physics.
Aaron Chen has been selected for a Graduate Research Fellowship from the National Science Foundation. This fellowship will support his applied mathematics research for the next three years. In 2017, Aaron was a recipient of a research grant from the University of Chicago’s Physical Sciences Division, which was made possible through the Neubauer Family Initiative for Graduate Education. Aaron has broad interests in both mathematics and computer science, and came to U.Chicago after undergraduate study in mathematics at Cornell University.
Congratulations to Justin and Aaron for these honors and also these exciting opportunities.