Past Events
Lessons learnt on the path from academia to industry and entrepreneurship
Industrial Problems Seminar
Simon Adar (Code Ocean)
Optimal Transport Maps for Conditional Simulation
Tuesday, Jan. 30, 2024, 1:25 p.m. through Tuesday, Jan. 30, 2024, 2:25 p.m.
Lind Hall 325 or via Zoom
Data Science Seminar
Bamdad Hosseini (University of Washington)
How much math do you really need to make markets in stock options?
Friday, Jan. 26, 2024, 1:25 p.m. through Friday, Jan. 26, 2024, 2:25 p.m.
Lind Hall 325 or Zoom
Industrial Problems Seminar
John Dodson (Options Clearing Corporation)
My Early Career as a Data Scientist in Renewable Energy
Friday, Jan. 19, 2024, 1:25 p.m. through Friday, Jan. 19, 2024, 2:25 p.m.
Lind Hall 325 or Zoom
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
Tuesday, Dec. 5, 2023, 1:25 p.m. through Tuesday, Dec. 5, 2023, 2:25 p.m.
Zoom only
Data Science Seminar
Denny Wu (New York University)
Quantitative Ecology: My career in applied mathematics with the USGS
Friday, Dec. 1, 2023, 1:25 p.m. through Friday, Dec. 1, 2023, 2:25 p.m.
Lind Hall 325 or Zoom
Industrial Problems Seminar
Richard Erickson (U.S. Geological Survey)
The Kagome lattice as a mechanism-based mechanical metamaterial
Tuesday, Nov. 28, 2023, 1:25 p.m. through Tuesday, Nov. 28, 2023, 2:25 p.m.
Lind Hall 325 and Zoom
Data Science Seminar
Xuenan Li (Columbia University)
Transferability of Graph Neural Networks using Graphon and Sampling Theories
Tuesday, Nov. 21, 2023, 1:25 p.m. through Tuesday, Nov. 21, 2023, 2:25 p.m.
Lind Hall 325 and Zoom
Data Science Seminar
Martina Neuman (University of Vienna; joins this Fall)
The Ever-Evolving Role of Data Science in an Organization
Friday, Nov. 17, 2023, 1:25 p.m. through Friday, Nov. 17, 2023, 2:25 p.m.
Lind Hall 325 or Zoom
Industrial Problems Seminar
Katy Micek (Paramount)
Abstract
Over the past decade, there has been an enormous amount of buzz and enthusiasm about data science. Consider, for example, the alluring title of a Harvard Business Review’s article published in October 2012: “Data Scientist: The Sexiest Job of the 21st Century.” This article was published shortly after I started working in the data science space, and I’ve had a front-row seat to the field’s evolution since that time. The goal of my talk is to provide a perspective on what a career in data science is like. I’ll start by sharing my experience working in the field across various industries and how technical roles have changed during that time. I will then explain how organizations seek to utilize data science and provide examples of the challenges (technical and organizational) that arise while implementing solutions. Finally, I will offer strategies for finding a job that is a good fit in the broadly defined, rapidly changing field of data science.