Sam Stechmann

Professor

College of Letters & Science | Department of Mathematics

Hometown: Red Wing, MN

Sam Stechmann is a Professor in the Department of Mathematics and Affiliated Faculty in the Department of Atmospheric and Oceanic Sciences. He grew up in the Wisconsin-adjacent city of Red Wing, MN, before crossing the river to call Wisconsin home. As an undergraduate student he earned degrees in mathematics, physics, and chemistry, and as a PhD student he was awarded a fellowship in computational science. His research topics include the mathematics of weather and climate, and algorithms for solving math and physics problems on computers.

Talks:

Weather Forecasting with AI

Machine Learning and Artificial Intelligence (AI) are now being used as a new way to conduct weather forecasts. The AI forecasts are more skillful than traditional forecasts, and cheaper. How does it work? How did we get here? What comes next?

Chances of extreme rain

Extreme rainfall events can be dangerous and damaging. How often do they occur? The probability of extreme rainfall events can be related to a classic math problem called “the gambler’s ruin”.

Mathematics of Weather and Climate

Mathematics plays a key role in many areas of science and engineering. Prof. Stechmann will give examples of the mathematics involved in weather forecasting and climate prediction.

Data-Driven Predictions

Data is a crucial ingredient for making predictions. Data-driven predictions are in use all around us, for predicting the stock market, the weather, and customer behavior (e-commerce). What is the mathematics behind data-driven predictions? How do they work?