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Del Valle from Los Alamos to Discuss Math Careers, and Simulating the Spread of Infectious Diseases

Posted on 9/7/2012 6:52:56 PM

Sara Del Valle, scientist/project leader in the Los Alamos National Laboratory Energy and Infrastructure Analysis Group, will visit IUP on September 26, 2012, to give three talks to students and faculty as part of the Society for Industrial and Applied Mathematics Visiting Lecturer Program, sponsored by S-COAM and the Mathematics Department.

Del Valle earned a PhD in Applied Mathematics and Computational Sciences in 2005 from the University of Iowa, and a BS and MS in Applied Mathematics in 2000 and 2001, respectively, from the New Jersey Institute of Technology. She has worked on developing and analyzing mathematical models for the spread of infectious diseases, including smallpox, anthrax, malaria, HIV, and influenza, on a pandemic scale. She has also worked on social network analyses and modeling and simulation of large scale, agent-based simulations.

Dr. Del Valle will be giving three presentations:

Great Careers in Mathematical Sciences

1:25–2:15 p.m. in Pratt Auditorium

Abstract: Science, technology, engineering, and mathematics (STEM) are playing a key role in the development of new discoveries and meeting the challenges of this century. In this talk, I will present some examples of scientific advances made possible by the interaction between science and mathematics. In particular, I will describe the role of mathematics in epidemiology, climatology, biology, sports, and entertainment.

How to Succeed in Science: My Story

3:35–4:35 p.m. in Stright Hall, Room 327/329

Abstract: Pursuing a career in science has never been more timely, but also difficult due to the current economic uncertainty. In this talk, I describe my journey and provide some advice on the difficulties that lie ahead and the skills that you will need to succeed. Although my advice is geared toward women and minorities, many aspects of my talk are universal.

Mathematical Modeling for the Spread of Infectious Diseases

5:30–6:30 p.m. in Stright Hall Room 327/329

Abstract: Emerging and re-emerging infectious diseases are the leading cause of morbidity and mortality across the globe. Modeling efforts can help improve the effectiveness of public health interventions and minimize the population and economic impacts of an epidemic. In this talk, I will describe different mathematical and computational models used to simulate the spread of infectious diseases, including smallpox, influenza, and HIV and show the impact of intervention strategies on their spread.