معرفی
Alan Lindsay is an Associate Professor in the Department of Applied and Computational Mathematics and Statistics (ACMS) at the University of Notre Dame, within the College of Science. He holds a Ph.D. from the University of British Columbia (2010) and a B.S. from the University of Edinburgh (2005). His research focuses on computational and analytical methods for partial differential equations (PDEs) modeling physical and biological systems, including Micro-Electromechanical Systems (MEMS), mathematical ecology, imaging, and inverse problems. His email is a.lindsay@nd.edu, and he is based in Crowley Hall.
Education:
- Ph.D., Applied Mathematics, University of British Columbia, 2010
- B.S., Mathematics, University of Edinburgh, 2005
Research Interests:
- Applied Partial Differential Equations
- Numerical Methods for PDEs
- Mathematical Biology and Biophysics
- Scientific Computing and Simulation
- MEMS and Micro-Electromechanical Systems
- Mathematical Modeling of Biological Processes
Recent Research Trends: Lindsay’s work emphasizes computational techniques like boundary integral methods, kinetic Monte Carlo simulations, and bifurcation analysis to study diffusion processes, first passage times, and pattern formation in biological and physical systems. His studies bridge theoretical analysis and practical applications, such as optimizing T cell antigen recognition and modeling moth mating strategies.
Grants & Advising: While no students are listed, his research is supported by grants in computational mathematics and biological modeling. His work often involves interdisciplinary collaborations with biologists and engineers.
Labs/Teams: His research is conducted within the ACMS department, leveraging Notre Dame’s computational infrastructure.
