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Career Transitions: Industrial Panel 2021

Alyson Deines, Henry Kvinge, Kellie MacPhee, Harish Ramadas,
Monday, March 15, 2021 - 3:30pm to 4:30pm
Zoom: https://washington.zoom.us/j/91340012420

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Abstract: As part of the Career Transitions Series, four of our UW alums who are now Ph.D. Mathematicians working in industry will share their experiences in an informal question-and-answer panel. Below are bios for our wonderful panelists.

Alyson Deines

Aly completed her Ph.D. from UW in 2014 under William Stein in the area of computational algebraic number theory.  She now works at the Center for Communications Research (CCR) in La Jolla, California.  CCR is a small government funded math think tank that focuses on mathematical research related to cryptography and signals intelligence, including machine learning.  At CCR Aly gets to work on real world problems that happen to have mathematical solutions from across all areas of mathematics and rely on theorems as much as experimentation and programming.  She discovered her joy for industry problems via summer internships while in undergrad and grad school.

Henry Kvinge

Henry was a UW undergrad who went on to graduate with a PhD in Mathematics from UC Davis with a focus on the intersection of representation theory, algebraic combinatorics, and category theory. Seeking more opportunities for cross-domain collaboration, from 2017 to 2019 he took a position as a postdoctoral fellow at the Pattern Analysis Lab at Colorado State University where he developed the algorithms underlying a real-world single pixel hyperspectral camera. He now works as a senior data scientist at Pacific Northwest National Lab in Seattle. His current research areas include: learning with limited data, computer vision, geometric deep learning, and applied category theory.

Kellie MacPhee

Kellie earned her PhD in August 2019, after studying optimization with Dima Drusvyatskiy in the UW Math Department and adding the Advanced Data Science Option and an MS in Statistics to her degree as well. Since October 2019, she has been working as a Data & Applied Scientist at Microsoft. Her team there is responsible for demand forecasting for Azure (Microsoft's cloud services), and her job involves a combination of statistics, data science, and operations research.

Harish Ramadas

Harish graduated from the UW Math Ph.D. program in 2017, where he worked on discrete optimization under Thomas Rothvoss. He spent 3 years working as a data scientist at a Palo Alto, CA-based software company for customers including the NIH, BP, United Airlines, and the former White House Coronavirus Task Force. Since October 2020, he has been part of the bioinformatics team at GRAIL, an early cancer detection company, where he specializes in applying machine learning and statistical techniques to large biological datasets..

This talk will be hosted by  Sara Billey, Marty Bishop, Nico CourtsMax Lieblich, Jessie Loucks

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