Monday, September 30, 2024, 4 – 5pm

In this talk, I’ll share some behind-the-scenes career highs and lows that led to my current (very fun) role at Los Alamos National Laboratory. I’ll also offer thoughts on creating career resilience by expanding the definition of “communities” and bringing an intentionality to how you engage with them.

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Kary Myers is a fellow of the American Statistical Association and currently leads a group of ~40 scientists and R&D engineers in the Space Remote Sensing and Data Science Group at Los Alamos National Laboratory (LANL). With support from an AT&T Labs Fellowship, she earned her PhD from Carnegie Mellon’s Statistics and Data Science Department and her MS from their Machine Learning Department before joining LANL in 2006. She spent 15 years as a scientist in the Statistical Sciences Group at Los Alamos, including a few years as their deputy group leader and as the Deputy Director for Data Science in LANL’s Information Science and Technology Institute. She also served as LANL’s Intelligence and Emerging Threats Program Manager for Data Science.

She’s been involved with a range of data-intensive projects, from analyzing electromagnetic measurements, to aiding large scale computer simulations, to developing analyses for chemical spectra from the Mars Science Laboratory Curiosity Rover. She served as an associate editor for the Annals of Applied Statistics and the Journal of Quantitative Analysis in Sports, and she created and organizes CoDA, the Conference on Data Analysis, to showcase data-driven research from across the Department of Energy.

Event Type: Seminars
Room Number: In Person
Building: Poster Hall 153
Speaker's Name: KARY MYERS
Speaker Website: en.wikipedia.org…
Speaker's Professional Title: Space Remote Sensing and Data Science Group, Department of Statistics, Los Alamos National Laboratory
Talk Title: Community Detection (the life kind, not the network science kind)
For More Information: cveselkl@andrew.cmu.edu
Affiliations: Machine Learning Department (MLD)
Organization(s): Department of Statistics and Data Science
Event Website Title: Series Website
Event Website URL: www.cmu.edu…