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Alexander Kaiser is an applied mathematician and computational scientist specializing in modeling and simulation of heart valves, particularly focusing on congenital heart valve disease and its surgical treatment. His recent research involves simulation-guided design for aortic valve repair in complex congenital heart defects. He has developed novel first-principles modeling methods for heart valves, termed elasticity-based design, which yield robust and realistic fluid-structure interaction simulations. As an instructor in Cardiothoracic Surgery at Stanford University, he collaborates with researchers such as Michael Ma and Alison Marsden. Kaiser earned his PhD in Mathematics from the Courant Institute of Mathematical Sciences at New York University, where he was awarded the Kurt O. Friedrichs Prize for Outstanding Dissertation in Mathematics. His work has received several accolades including the K25 Mentored Quantitative Research Development Award from the National Heart, Lung, and Blood Institute and the American Heart Association Career Development Award, both in 2024. He has a background in both math and science education, having completed his Master of Science and Bachelor of Arts in Mathematics at New York University and the University of California, Berkeley, respectively.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.