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!​

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Teaching

• Currently, I teach Probability (MATH/STAT 354) and Introduction to Statistical Modeling (STAT 155) at Macalester College. ​
• In Fall 2021, I was the primary instructor for a course I designed at Stanford entitled Advances in Computing with Uncertainties (CME 270). The official listing is here.
• I am a recipient of the Stanford Centennial Teaching Award for the School of Engineering. I also received the ICME Departmental Teaching Award.

Humor

• Randomly generate your own mathematics research paper here.
• Proof by intimidation. Argue why that proof is trivial here. Keep refreshing the page for more ways to baffle your colleagues.