Three SoM Faculty to Speak at ICM

Jennifer Hom, Michael Loss, and Konstantin Tikhomirov are invited to speak at the 2022 International Congress of Mathematicians.

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Sal Barone

Renay San Miguel
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Jennifer Hom, Michael Loss, and Konstantin Tikhomirov are invited to speak at the 2022 International Congress of Mathematicians.

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Three School of Mathematics researchers have been invited to speak at the prestigious International Congress of Mathematicians, which is held every four years. 

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  • Jennifer Hom Jennifer Hom
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  • headshot_michael_loss headshot_michael_loss
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  • Konstantin Tikhomirov Konstantin Tikhomirov
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Note: This article was originally published 07/21/2021 featuring only Jen Hom and Konstantin Tikhomirov.

Like the Olympics, the International Congress of Mathematicians only meets once every four years. Like that global athletic competition, medals are presented to those who excel. In this case, they’re presented to those with breakthrough research on subjects like topology, random matrices, combinatorics. 

Simply being asked to present research at an ICM is, as Davide Castelvecchi wrote in a 2015 Nature story, “the equivalent, in this community, of an induction to a hall of fame.” So imagine the pride at the School of Mathematics when it learned that it will have not one, but three lecturers at the 2022 ICM, scheduled for July 6-14 virtually. Associate Professor Jennifer Hom, Professor Michael Loss, and Assistant Professor Konstantin Tikhomirov have accepted invitations from ICM committees to speak at the conference. 

“The ICM speaker invitations are a major news item in the mathematics community every four years. The invitations carry very high prestige, selected with extreme diligence to highlight leading breakthroughs across all of mathematics,” explains Rachel Kuske, Professor and Chair of the School of Mathematics. “An invitation signals innovative research that is driving future discovery. A single invitation in any cycle is a source of great pride for the home department of the speaker, and more than one is particularly noteworthy, reflecting the impressive talent joining the School in recent years. Of course, we are well aware that our pioneering colleagues Jennifer and Konstantin are leading the world in their fields, but we are very pleased by the community's agreement, via this exceptional international recognition.”

“It was a very pleasant surprise to get the email,” says Hom. “It wasn’t something that was on my radar. Most mathematicians do math because they find it interesting and challenging and fun, and things like this are the icing on the cake.”

The invitation also came as a surprise to Tikhomirov. “I was extremely happy, of course, and I didn’t expect it,” he says. “People usually get invited earlier. I was not really expecting this because it’s a hard thing, it’s a very rare event, once every four years.”

Hom echoes Kuske when she says having three Georgia Tech researchers speaking at ICM “speaks highly of the quality of math being done at the School of Mathematics.”

Hom hasn’t decided the specific topic of her lecture, but her mathematical research focuses on low-dimensional topology. Topology is the study of shapes and spaces that can be stretched, twisted, and otherwise deformed, but never broken or torn. These spaces are called manifolds; for example, the surface of a donut is a two-dimensional manifold. Low-dimensional topology is the sub-discipline interested in topological spaces of four or fewer dimensions. The study of manifolds can help bring simplicity to the understanding of more complex structures in math and physics. 

“I’m lucky enough to sit and think about totally abstract things just for the sake of finding patterns,” she says. “There’s so much more to math than what people see in high school, or what average college students see in the math class. A lot of high school math is focused on getting you to calculus, and that’s a small part of the really cool math that’s out there.”

Tikhomirov’s research is in discrete probability, which tries to bring structure and predictability to chance in the form of modeling. Take a coin flip, for example. “If I could measure the parameters of the coins, and figure out how much muscle you use to flip the coin, and figure for the activity of neurons, I would be able to predict the outcome — heads or tails,” he explains. “But that’s too complicated” to compute outcomes in that way. Probability, in that respect, is designed to model things. So you have a complicated system, and then you can construct a model that inherits some properties of real physical systems, but at least you can make some predictions.”

Michael Loss is a mathematician and mathematical physicist. With Elliott H. Lieb he is the author of the textbook Analysis (Graduate Studies in Mathematics 14. American Mathematical Society, 1997; 2nd ed., 2001). In 2012, he became one of the inaugural fellows of the American Mathematical Society, and was elected as a Foreign Corresponding Member of the Chilean Academy of Sciences. He is also one of the 2015 winners of the Humboldt Prize. Recently, Prof. Loss was asked to serve on the Executive Committee of the International Association of Mathematical Physics (IAMP).

Editor's Note: The Inaugural Hubbard Chair, Prof. Svetlana Jitomirskaya who is arriving in Fall 2022, will also be speaking at ICM this year as a plenary speaker. For more information about Prof. Jitomirskaya and this exceptional honor to give a plenary talk at ICM, see this story on our website.

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  • Created By: sbarone7
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  • Created On: Apr 1, 2022 - 1:36pm
  • Last Updated: Apr 5, 2022 - 10:36am