Past Events

Algebras to Insights: my journey from mathematics to data science

Industrial Problems Seminar

Kari Eifler (Microsoft)

Algebras to Insights: my journey from mathematics to data science

Industrial Problems Seminar

Kari Eifler (Microsoft)

Generalization theory for diffusion models

Data Science Seminar

Frank Cole (University of Minnesota)

Lessons learnt on the path from academia to industry and entrepreneurship

Industrial Problems Seminar 

Simon Adar (Code Ocean)

Optimal Transport Maps for Conditional Simulation

Data Science Seminar

Bamdad Hosseini (University of Washington)

How much math do you really need to make markets in stock options?

Industrial Problems Seminar 

John Dodson (Options Clearing Corporation)

My Early Career as a Data Scientist in Renewable Energy

Industrial Problems Seminar

Sarah Milstein (NextEra Analytics)

Abstract

In this talk, I will describe some of the renewable energy projects that I've worked on in my current role as a data scientist at NextEra Analytics. These projects include determining the optimal size and design for a new solar power plant and recommending power trades between utilities. Before this job, while I was completing my math PhD at UMN, I spent much of my time doing internships, projects, and independent studies in data science. I will also describe some of this pre-job experience, giving suggestions for ways that you might prepare for your own career. 

Bringing AI to Healthcare – Application of Large Language Models to Interpret Complex Microbiome Data

Industrial Problems Seminar 

Leo Grady (Jona)

Learning in the presence of low-dimensional structure: a spiked random matrix perspective

Data Science Seminar

Denny Wu (New York University)

Quantitative Ecology: My career in applied mathematics with the USGS

Industrial Problems Seminar

Richard Erickson (U.S. Geological Survey)