Interdisciplinary Research
Incredible advancements in technology over the past decades have led to exciting scientific breakthroughs and increased collaboration among previously isolated disciplines. My strong communication skills have helped me to cross the divide and establish successful interdisciplinary working relationships.
Electrical Impedance Tomography: The nature of the Electrical Impedance Tomography (EIT) problem is interdisciplinary which has led me to develop relationships with mathematicians, biomedical and electrical engineers, medical doctors, and physicists resulting in strong ties with GE Healthcare, Colorado State University, Rennselear Polytechnic Institute, University of Eastern Finland, Danmarks Tekniske Universitet (DTU), and University College London.
Program in Interdisciplinary Mathematics Ecology and Statistics (PrIMES):
While at Colorado State Univeristy, I was a member of the interdisciplinary research team for the PRogram in Interdisciplinary Mathematics Ecology and Statistics (PrIMES) program, an NSF Igert grant program. Our team was comprised on mathematicians, statisticians, biologists, ecologists, and forestry managers. Through our collaboration, we studied management strategies used at Badlands National Park on the resident bison herd. Our work involved on site research, determination of survival and breeding parameters of herd from annual roundup data, as well as Leslie matrix modeling of the herd to evaluate and test management strategies using adjoint-based sensitivity analysis.
Flexible and Extendable Scientific Undergraduate Experience (FEScUE):
While at Colorado State University, I was a member of the interdisciplinary Flexible and Extendable Scientific Undergraduate Experience (FEScUE) research program. I served as a research mentor for the undergraduate student members of the team. The group was comprised of mathematicians, biologists, chemists, biochemists, and statisticians. In particular, I helped them to include nonlinearity into a matrix population model, perform a rigorous derivative-based sensitivity analysis by hand and using technology. Furthermore, I taught the students how to present their results in a professional manner (LaTeX and Beamer) as well as how to use prevalent computational software (Matlab and R).
Electrical Impedance Tomography: The nature of the Electrical Impedance Tomography (EIT) problem is interdisciplinary which has led me to develop relationships with mathematicians, biomedical and electrical engineers, medical doctors, and physicists resulting in strong ties with GE Healthcare, Colorado State University, Rennselear Polytechnic Institute, University of Eastern Finland, Danmarks Tekniske Universitet (DTU), and University College London.
Program in Interdisciplinary Mathematics Ecology and Statistics (PrIMES):
While at Colorado State Univeristy, I was a member of the interdisciplinary research team for the PRogram in Interdisciplinary Mathematics Ecology and Statistics (PrIMES) program, an NSF Igert grant program. Our team was comprised on mathematicians, statisticians, biologists, ecologists, and forestry managers. Through our collaboration, we studied management strategies used at Badlands National Park on the resident bison herd. Our work involved on site research, determination of survival and breeding parameters of herd from annual roundup data, as well as Leslie matrix modeling of the herd to evaluate and test management strategies using adjoint-based sensitivity analysis.
Flexible and Extendable Scientific Undergraduate Experience (FEScUE):
While at Colorado State University, I was a member of the interdisciplinary Flexible and Extendable Scientific Undergraduate Experience (FEScUE) research program. I served as a research mentor for the undergraduate student members of the team. The group was comprised of mathematicians, biologists, chemists, biochemists, and statisticians. In particular, I helped them to include nonlinearity into a matrix population model, perform a rigorous derivative-based sensitivity analysis by hand and using technology. Furthermore, I taught the students how to present their results in a professional manner (LaTeX and Beamer) as well as how to use prevalent computational software (Matlab and R).