Stefanie Jegelka
Stefanie Sabrina Jegelka is a German computer scientist whose research in machine learning includes submodular optimization in computer vision[1] and deep learning for graph neural networks.[2] She is an associate professor of computer science at the Massachusetts Institute of Technology,[3] and Alexander von Humboldt Professor at the Technical University of Munich.[4]
Education and career
[edit]As a high school student from a small town in Germany, Jegelka won an award in an annual ThinkQuest competition for the design of educational web sites; her site concerned butterflies.[2][5] She became a bioinformatics student at the University of Tübingen, advised by Ulrike von Luxburg and Michael Kaufmann, with an exchange year at the University of Texas at Austin, and earned a diploma in 2007. Continuing her studies jointly at the Max Planck Institute for Intelligent Systems in Tübingen and at ETH Zurich, she completed a Ph.D. in 2012. Her dissertation, Combinatorial Problems with Submodular Coupling in Machine Learning and Computer Vision, was jointly supervised by Jeff Bilmes, Bernhard Schölkopf, and Andreas Krause.[6][7]
After postdoctoral research from 2012 to 2014 at the University of California, Berkeley with Michael I. Jordan and Trevor Darrell, she became X-Consortium Career Development Assistant Professor in the Department of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology in 2015,[6] and was promoted to associate professor with tenure in 2022.[8] She was awarded a Humboldt Professorship in 2022 and joined TU Munich as a Humboldt Professor in 2024.[4][9]
Recognition
[edit]Jegelka received the 2015 German Pattern Recognition Award.[1] She became a Sloan Research Fellow in 2018.[6][9]
She was an invited speaker at the 2022 (virtual) International Congress of Mathematicians.[10]
References
[edit]- ^ a b Deutscher Mustererkennungspreis 2015: Laudatio for Prof. Stefanie Jegelka (PDF), German Association for Pattern Recognition, 2015, retrieved 2024-08-15
- ^ a b Zewe, Adam (January 11, 2023), Unpacking the "black box" to build better AI models, MIT EECS, retrieved 2024-08-15
- ^ "Stefanie Jegelka", People, MIT EECS, retrieved 2024-08-15
- ^ a b Two new Humboldt Professorships in the field of Artificial Intelligence: Stefanie Jegelka and Suvrit Sra were honored with Germany's most highly endowed research award, TU Munich, May 14, 2024, retrieved 2024-08-15
- ^ Feil, Christine; Decker, Regina; Schön, Sandra (2001), ""Websites für Kinder" - eine Datenbank des Deutschen Jugendinstituts", in Feil, Christine (ed.), Internet für Kinder: Hilfen für Eltern, Erzieher und Lehrer, VS Verlag für Sozialwissenschaften, pp. 23–84, doi:10.1007/978-3-322-80870-7_3, ISBN 9783322808707
- ^ a b c Curriculum vitae (PDF), retrieved 2024-08-15
- ^ Stefanie Jegelka at the Mathematics Genealogy Project
- ^ Halpern, Jane (June 16, 2022), Department of EECS announces 2022 promotions: To Associate Professor with tenure, MIT EECS, retrieved 2024-08-15
- ^ a b Stefanie Jegelka: Alexander von Humboldt Professorship for Artificial Intelligence 2022, Alexander von Humboldt Stiftung, retrieved 2024-08-15
- ^ ICM Plenary and Invited Speakers, International Mathematical Union, retrieved 2024-08-15
External links
[edit]- Home page
- Stefanie Jegelka publications indexed by Google Scholar
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