Welcome!
My name is Laura Lyman, and I am an applied mathematician and statistician! Since Fall 2022, I have been a Visiting Assistant Professor of Statistics at Macalester College. Prior to this role, I earned my Ph.D. at Stanford University.
I research how uncertainty propagates through models in science and engineering. In other words, I study how imperfect knowledge of a model input affects what that model returns, 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, probability, linear algebra, and scientific computing.
If you have any questions, the best way to contact me is through email (llyman AT macalester DOT edu). I look forward to hearing from you!
I research how uncertainty propagates through models in science and engineering. In other words, I study how imperfect knowledge of a model input affects what that model returns, 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, probability, linear algebra, and scientific computing.
If you have any questions, the best way to contact me is through email (llyman AT macalester DOT edu). I look forward to hearing from you!
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