This program is open to UCLA GRADUATE STUDENTS. Funding from the NSF is restricted to US Citizens and Permanent Residents. Wei Wang, PI, Professor of Computer Science, Co-Director of Scalable Analytics Institute, UCLA Andrea Bertozzi, CoPI, Professor of Mathematics and Mechanical and Aerospace Engineering and Director of Applied Mathematics, UCLA John Cho, Co-PI Professor of Computer Science, UCLA Weizhe Hong, Co-PI, Asst. Prof. of Biological Chemistry, UCLA Sean Young, Co-PI, Associate Professor of Family Medicine, Director of UC Institute for Prediction Technology and UCLA Center for Digital Behavior Katherine Narr, Associate Professor of Neurology, Psychiatry and Biobehavioral Sciences Rafail Ostrovsky, Professor of Computer Science and Mathematics, Director of Center for Information and Computation Security, UCLA Jeff Brantingham, Professor of Anthropology Ani Nahapetian, Associate Professor of Computer Science and Graduate coordinator CSUN for a full list please go to the program web page. A confluence of technologies is tranforming the biological, environmental, and social sciences into data-intensive sciences. Our MENTOR program offers unique opportunities to train future scientists to develop and deploy new mathematical models, analytical methods, and application tools that directly address the challenges in managing, analyzing and integrating new and diverse types of data and knowledge across scientific and engineering disciplines. The program consists of four research thrust layers: 1) genomics and genetics, 2) grain imaging and multi-modal prediction, 3) mobile sensing and individual behaviors, 4) social networks. These layers are interconnected through three core areas: A) mathematical modeling and network analysis, B) scalable machine learning and big data analytics, and C) biomedical applications and social outcomes.
Application requirements: 1. Transcript or DPR 2. One reference letter from the primary mentor and a second reference letter for a secondary mentor who must be from a different research layer and core area than the primary mentor 3. CV/resume of the applicant indicating citizenship/residency status 4. Research statement about what the student will work on with primary and secondary mentors 5. list of courses taken at UCLA and planned courses to be taken to satisfy program course requirements
Incoming PHD students can request the advisor to submit their graduate application package to the program. |
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