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Dr. Shawn Brown Joins PHDL Faculty

Shawn Brown April 1, 2010: The Public Health Dynamics Lab is pleased to announce that Dr. Shawn Brown has joined the Lab. Shawn Brown is an Assistant Professor in the Department of Biostatistics and a Research Fellow at the Pittsburgh Supercomputing Center. Dr. Brown is a Co-Investigator for the National Institute of Health (NIH) Modeling of Infectious Diseases Agent Study (MIDAS) and Co-Principle Investigator on the MIDAS Information Technology Resource at RTI International and Lead for NIH MIDAS Network Software Working Group. He is co-investigator for the Vaccine Modeling Initiative, funded by the Bill and Melinda Gates Foundation. He is also the lead of the TeraGrid Common Users Environments Working Group. His previous positions include Senior Scientific Specialist at the Pittsburgh Supercomputing Center and Research Scientist at Q-Chem, Inc. Dr. Brown received his PhD in Quantum Chemistry at the University of Georgia and his B.S. in Chemistry at Bethany College, WV.

Shawn's research areas include:

•  Simulations for informed decision support
•  Vaccine supply chains in developing nations
•  Agent-based modeling of disease dynamics
•  High-performance computing in simulation and modeling

Contact information:
Shawn Brown, PhD
703 Parran Hall
University of Pittsburgh
This email address is being protected from spambots. You need JavaScript enabled to view it.


MIDAS Summer Research Fellows program

Date: June 1, 2010
Place: GSPH, University of Pittsburgh

summer students 2010The University of Pittsburgh Models of Infectious Disease Agent Study (MIDAS) National Center of Excellence hosts a summer research opportunity for undergraduate and graduate students in the field of computational modeling of infectious diseases. Through this ten-week Summer Research Program, participants will gain an appreciation of major research questions being raised at the intersection of public health, biological sciences, and computer technology. Participants  will work with MIDAS Investigators, experienced graduate students, and postdoctoral fellows, conducting exciting interdisciplinary research projects in this dynamic field. This intensive, research-based experience will prepare applicants interested in working at the interface of mathematics, computer science, engineering, statistics, epidemiology, public health, and the biological science for the rigors of scientific research and graduate education.

 


 

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