Computer Science, Mathematics, Statistics, Medicine, Engineering, Social Sciences

Program ID: 4-MENTOR [#700]
Program Title: NRT-HDR: Modeling and Understanding Human Behavior: Harnessing Data from Genes to Social Networks
Program Location: Los Angeles, California, United States [map]
Subject Area: Data Science
Application Deadline: 2018/08/22 (posted 2018/08/01, listed until 2019/02/01)
Program Description:    

This program is open to UCLA GRADUATE STUDENTS.  Funding from the NSF is restricted to US Citizens and Permanent Residents.

Our training program on ModEling and uNdersTanding human behaviOR (MENTOR): harnessing data from genes to social networks, draws upon a core group of interdisciplinary faculty researchers and teachers across the UCLA School of Engineering and Applied Sciences, the Department of Mathematics, the Department of Statistics, the College of Social Sciences, and the School of Medicine, to create an interdisciplineary team for this Harnessing the Data Revolution for 21st Century Science and Engineering (HDR) program. The following is a partial list of faculty are involved in the program:  

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.

Application Materials Required:
Submit the following items online at this website to complete your application:
And anything else requested in the program description.

Further Info:
http://www.math.ucla.edu/~bertozzi/NRT/index.html
 
Department of Mathematics
UCLA
Los Angeles, CA 90095

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