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--- research [2020/11/24 18:40]
jthaler [Profiles and Highlights]
+++ research [2022/10/19 20:29] (current)
jthaler [Awards and Honors]
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 Jesse Thaler is a theoretical particle physicist who fuses techniques from quantum field theory and machine learning to address outstanding questions in fundamental physics.  His current research is focused on maximizing the discovery potential of the Large Hadron Collider (LHC) through new theoretical frameworks and novel data analysis techniques.  Prof. Thaler is an expert in jets, which are collimated sprays of particles that are copiously produced at the LHC, and he studies the substructure of jets to enhance the search for new phenomena and illuminate the dynamics of gauge theories.  He is also interested in new strategies to probe the nature of dark matter at the LHC and beyond, as well as in the theoretical structures and experimental signatures of supersymmetry.
-Prof. Thaler joined the MIT Physics Department in 2010, and is currently an Associate Professor in the Center for Theoretical Physics. From 2006 to 2009, he was a fellow at the Miller Institute for Basic Research in Science at the University of California, Berkeley. He received his Ph.D. in Physics from Harvard University in 2006, and his Sc.B. in Math/Physics from Brown University in 2002. He was awarded an Early Career Research Award from the U.S. Department of Energy in 2011, a Presidential Early Career Award for Scientists and Engineers from the White House in 2012, a Sloan Research Fellowship from the Alfred P. Sloan Foundation in 2013, and a Harold E. Edgerton Faculty Achievement Award from MIT in 2016.  In 2020, Prof. Thaler became the inaugural Director of the [[http://www.iaifi.org/|NSF AI Institute for Artificial Intelligence and Fundamental Interactions]].
+Prof. Thaler joined the MIT Physics Department in 2010, and is currently a Professor in the Center for Theoretical Physics. From 2006 to 2009, he was a fellow at the Miller Institute for Basic Research in Science at the University of California, Berkeley. He received his Ph.D. in Physics from Harvard University in 2006, and his Sc.B. in Math/Physics from Brown University in 2002. He was awarded an Early Career Research Award from the U.S. Department of Energy in 2011, a Presidential Early Career Award for Scientists and Engineers from the White House in 2012, a Sloan Research Fellowship from the Alfred P. Sloan Foundation in 2013, and a Harold E. Edgerton Faculty Achievement Award from MIT in 2016.  In 2020, Prof. Thaler became the inaugural Director of the [[http://www.iaifi.org/|NSF AI Institute for Artificial Intelligence and Fundamental Interactions]].
 ====== Research Interests ======
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 ==== Profiles and Highlights ====
+  * [[https://www.energy.gov/science/articles/jesse-thaler-then-and-now-2011-early-career-award-winner|DOE on Early Career]]
+  * [[https://cacm.acm.org/news/253847-using-ai-to-drill-down-in-physics/|ACM on IAIFI]]
   * [[https://www.nytimes.com/2020/11/23/science/artificial-intelligence-ai-physics-theory.html|New York Times on IAIFI]]
   * [[https://news.mit.edu/2020/nsf-announces-mit-led-institute-artificial-intelligence-fundamental-interactions-0826|IAIFI Launch]] ([[https://www.nsf.gov/news/special_reports/announcements/082620.jsp|NSF]], [[https://www.news.harvard.edu/gazette/story/2020/08/harvard-a-partner-in-20-million-ai-institute/|Harvard]])
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 ==== Awards and Honors ====
+  * [[https://news.mit.edu/2022/american-physical-society-fellows-1019|APS Fellowship]]
+  * [[https://news.mit.edu/2022/three-mit-faculty-members-named-2022-simons-investigators-0624|Simons Investigator]]
   * [[http://news.mit.edu/2018/mit-center-theoretical-physics-professors-quantum-information-science-awards-1012|QuantISED]]
   * [[http://news.mit.edu/2017/seven-mit-science-professors-granted-tenure-0628|Promotion]]
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 ==== Quotations and Perspectives ====
+  * [[https://spectrum.ieee.org/machine-learning-in-physics|IEEE Spectrum on Machine Learning]]
+  * [[https://www.quantamagazine.org/a-hint-of-dark-matter-sends-physicists-looking-to-the-skies-20211019/|Quanta Magazine on Axion Dark Matter]]
+  * [[https://ai.facebook.com/blog/advancing-ai-theory-with-a-first-principles-understanding-of-deep-neural-networks/|Facebook AI on Deep Networks]]
   * [[https://thetech.com/2020/03/25/faculty-discuss-flexible-pnr|The Tech on Flexible P/NR]]
   * [[https://phys.org/news/2019-11-plot-thickens-hypothetical-x17-particle.html|CERN on Fifth Forces]]