About Us
2020-2021 Executive Board
President & Founder: Margaret Lazarovits (Physics & Astronomy PhD)
Vice President: Jackson Sabol (Physics & Astronomy BS)
Treasurer: Ty Badulf (Chemistry PhD)
Secretary: Sakthi Kasthurirengan (Physics & Astronomy PhD)
Advisor: Professor Chris Rogan (Professor of Physics & Astronomy)
Learning Machine Learning aims to bring together scientists from across disciplines for the purpose of discussing, brainstorming and learning about machine learning in science.
We are a student-led group of machine learners! Students, professors, post-docs and more gather weekly to discuss machine learning in various contexts. This group is open to all, regardless of their knowledge of machine learning. Although mostly physics focused, we love to foster interdisciplinary collaboration. Our weekly meetings involve research discussions, journal clubs, tutorials and more. If you would like to sign up for our mailing list please fill out this form. You can also view the Constitution and Bylaws for this organization online.
This group was founded in Spring 2019 by KU graduate student Margaret Lazarovits, along with guidance from her advisor, Professor Chris Rogan. They are a part of the particle physics group at the Physics department of the University of Kansas. Their research spans a wide variety of projects, including hardware, analysis, and phenomenology.
Currently, Margaret and Professor Rogan are working on research and design (R&D) for the new MIP Timing Detector, an upgrade to the CMS detector as part of the High Luminosity LHC upgrade. They study the properities and behavior of low gain avalanche detectors (LGADs) for precision timing purposes using machine learning methods like artificial and convolutional neural networks.
Along with the particle physics group at KU, Margaret and Professor Rogan are also working on a search for supersymmetry in the electroweak sector using Professor Rogan’s recursive jigsaw reconstruction method.
Margaret and Professor Rogan are always interested in machine learning collaborations with other departments and insitutions! Feel free to email Margaret or Professor Rogan for more information.