I am an applied mathematician at Stanford University who researches how uncertainty propagates through models in science and engineering. That means I study how imperfect knowledge of a model input affects what that model outputs, and I rigorously quantify which model outputs are possible or more likely to occur. I am fascinated by this work, and it uses a variety of tools from statistics, linear algebra, probability, and scientific computing.
Currently, I am serving as the President of the SIAM Student Chapter at Stanford. My academic CV and Google Scholar profile give additional information.
If you have any questions, the most efficient way to contact me is through email (lymanla AT stanford DOT edu). I look forward to hearing from you!