**COVID-19 update 04-07-2021:**

Due to the COVID-19 epidemic, IPAM’s programs are currently running online. The IPAM building is closed. We are in conversation with UCLA leadership to develop safe pathways to return to in-person operation in fall.

The following IPAM programs have been, or may need to be, modified due to COVID-19:

- Spring 2021 long program
**Tensor Methods and Emerging Applications to the Physical and Data Sciences**is taking place in a virtual format. - 2021 Graduate Summer School on
**Post-quantum and Quantum Cryptography**is being postponed. The Summer School on**Mathematics of Topological Phases of Matter**is expected to take place in-person later in August 2021; please see the**Summer Schools web page**for more information. - The Undergraduate Student Research Programs
**RIPS Los Angeles**is expected to take place in-person. However, this may change depending on the trajectory of the pandemic and vaccine availability.**RIPS Singapore**has been cancelled. - The Graduate Student Research Programs
**G-RIPS Berlin**and**G-RIPS Sendai**will take place either in-person or in a virtual format. Details will be announced soon.

We anticipate that all fall workshops and programs will have some virtual components, depending on future developments. Program participants should expect to be notified of the specific nature of each program no later than 30 days prior to the start of the program.

The link to the UCLA COVID-19 website is: **https://www.bso.ucla.edu/**

**Eitan Tadmor** (University of Maryland), founding IPAM director.

**Robert Calderbank** (Duke University), former IPAM Science Advisory Board member.

**Rachel Levy** (American Mathematical Society), panel organizer for IPAM’s 2022 conference, Latinx in the Mathematical Sciences Conference.

**Tryphon Georgiou** (UC Irvine), speaker for IPAM’s 2021 workshop, Entropy Inequalities, Quantum Information and Quantum Physics.

**Shmuel Friedland** (University of Illinois at Chicago), core participant for IPAM’s 2021 long program, Tensor Methods and Emerging Applications to the Physical and Data Sciences.

**Anna L. Mazzucato** (Penn State University), organizer and core participant for several IPAM events including the 2021 workshop, Transport and Mixing in Complex and Turbulent Flows.

**Jack Xin** (UC Irvine), speaker for numerous IPAM programs including the 2020 workshop, Stochastic Analysis Related to Hamilton-Jacobi PDEs.

**Rebecca Willett** (University of Chicago), speaker for several IPAM programs including the 2020 workshop, PDE and Inverse Problem Methods in Machine Learning.

**Gary Froyland** (University of New South Wales), speaker for IPAM’s 2019 workshop, Operator Theoretic Methods in Dynamic Data Analysis and Control.

**Shang-Hua Teng** (University of Southern California), speaker for IPAM’s 2018 workshop, New Architectures and Algorithms.

**Per-Gunnar Martinsson** (University of Texas at Austin), speaker for several IPAM programs including the 2018 workshop, Big Data Meets Large-Scale Computing.

**Habib Najm** (Sandia National Laboratories), speaker for IPAM’s 2016 workshop, Uncertainty Quantification for Multiscale Stochastic Systems and Applications.

**Trachette Jackson** (University of Michigan), organizer for several IPAM workshops including the Blackwell-Tapia Conference and Awards Ceremony in 2014.

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IPAM condemns any expression of hate, racism or discrimination, in any form. As we witness the recent increase of crime targeting people of Asian ethnicity, we reiterate our commitment to equality, diversity, and social justice. IPAM’s mission is to create inclusive scientific communities and strives to be welcoming to all.

All IPAM visitors should review and abide by IPAM’s **community agreement**.

Congratulations to Avi Wigderson and László Lovász on this great achievement!

]]>IPAM welcomes applications for participation in its future programs from the mathematical and scientific community on a rolling basis; an application form is available on each program’s web site.

]]>As a member of the IPAM board, Toro was the driving force in starting the triannual conference — a three-day meeting, hosted by IPAM, aiming to encourage young Latinx to pursue careers in the mathematical sciences; promote the advancement of Latinx currently in the discipline; showcase the research of Latinx at the forefront of their fields; and build community around shared academic interests. After proposing the idea, Toro served on the organizing committee for both the inaugural LatMath, in 2015, and the 2018 conference.

And now an energized Várilly-Alvarado, professor of mathematics at Rice University, was volunteering to contribute in whatever way he could to ensure LatMath’s continued success.

“I hadn’t attended in 2015, but experiencing LatMath in 2018, I was blown away by the enthusiasm,” Várilly-Alvarado recalls. “I went up to Tatiana and said, ‘I want to help make the next one happen. This is so important for the community.’ ”

True to his word, Várilly-Alvarado is now working with co-organizers to plan the third LatMath, set to be held at IPAM on the UCLA campus March 3-5, 2022, after a one-year postponement prompted by the COVID-19 pandemic. His excitement about the upcoming event is widely shared by other previous attendees. “When I went to the first LatMath in 2015, it felt like returning home for a reunion,” says Pamela E. Harris, associate professor of mathematics at Williams College and a 2022 LatMath co-organizer. “You had speakers who were simultaneously prolific mathematicians, incredible mentors, and people you could see yourself reflected in. And it just felt like you were among friends.”

Funded by the National Science Foundation’s Math-Science Institute Diversity Initiative, LatMath addresses the underrepresentation of Latinx in the mathematical sciences by showcasing the research contributions and achievements of junior and senior members of the Latinx mathematics community, as well as providing mentoring and career advice to Latinx individuals at the high school undergraduate, graduate, postdoctoral, and junior faculty levels. As with the previous two conferences, LatMath 2022 will offer a mix of scientific, mentoring, and community-building activities, including plenary talks by prominent researchers, a panel discussion on diversity in STEM and higher education, scientific sessions with research presentations by both junior and senior mathematicians, and networking and professional development activities. In addition, there will be an opportunity for undergraduate and graduate students to present their research at a poster session and learn how to effectively communicate their work.

For young Latinx considering careers in the mathematical sciences, attending a conference where they can get to know successful role models is invaluable. Selenne Bañuelos, an associate professor of mathematics at California State University Channel Islands and a member of the LatMath 2022 organizing committee, recalls that as an undergraduate at the University of California, Santa Barbara in the mid-2000s, she felt discouraged by the absence of U.S.-born or –trained Latinx tenure-track faculty on the campus at the time. “I had great professors who wanted me to keep studying for a PhD, and I said, ‘That would be great, but would I even get hired anywhere?’ ” Bañuelos recalls.

“If you can see it, you can be it,” Harris adds of the importance of role models. “To address issues of underrepresentation, we have to show people what they can become, and that’s a huge aspect of LatMath.” Harris notes that when she graduated from the University of Wisconsin-Milwaukee in 2012, she was one of only 12 U.S.-born Latinas in the nation to earn a PhD in the mathematical sciences. When Bañuelos earned her PhD from the University of Southern California the following year, she was one of five.

Harris worries that the isolation imposed by the pandemic has been a particular setback for young Latinx members of the mathematics community, and is excited for the return of in-person gatherings. “When everyone is together at a conference, you have natural, spontaneous conversations that build bonds and provide support that can have a deep impact on a person’s career,” she says.

Beyond the power of showcasing successful junior and senior Latinx math faculty, the many formal and informal mentoring opportunities at LatMath are designed to assist attendees at all levels. The conference features concurrent panels for early-career professionals to learn about academic, industry, and government positions from established members of the Latinx mathematics community. A math circle led by graduate students engages high school students in mathematics through problem solving and discovery. One-on-one conversations between junior and senior participants impart mentorship advice about career choices, work promotions, research publications, and other relevant advancement information. Embedded within the research presentations and the lunches, Latinx participants discuss what motivated them to become a PhD mathematician and what the experience has been like.

Bañuelos says the first time she attended LatMath she was struck by the intentional ways in which the organizers focused on establishing a sense of community among the attendees, and the 2022 meeting will continue to build on those efforts. “A Conversation With” will bring a mentor on stage for an informal dialogue with attendees. Speakers are being encouraged to include biographical information to humanize their stories. Other possibilities include a storytelling night, designed to tap into the similarities that cut across Latinx cultures; and a dance party. “The Latinx mathematics community is very diffuse throughout the U.S.,” says Várilly-Alvarado. “The experience of everyone coming together in one place is really special.”

Building community and showing young Latinx the path to success in mathematics were what Tatiana Toro hoped to achieve when she approached IPAM about the concept of a LatMath conference nearly a decade ago. She knew that goal had been achieved, Toro says, when she was approached during the first LatMath by so many Latinx who told her, “I never knew there were so many people like me who did math.”

]]>- Bryna Kra (Northwestern University), former IPAM Board of Trustees member.
- Gunther Uhlmann (University of Washington), organizer, speaker, and core participant for IPAM’s 2021 long program, Mathematical and Computational Challenges in the Era of Gravitational Wave Astronomy.
- Charles Doering (University of Michigan), organizer and speaker for IPAM’s 2021 workshop, Transport and Mixing in Complex and Turbulent Flows.
- Mohammed Abouzaid (Columbia University), organizer and speaker for IPAM’s 2017 workshop, Gauge Theory and Categorification.
- Hung Tran (University of Wisconsin-Madison), speaker for IPAM’s 2020 workshop, Mean Field Games and Applications.
- Firas Rassoul-Agha (University of Utah), speaker for IPAM’s 2020 workshop, Stochastic Analysis Related to Hamilton-Jacobi PDEs.
- Konstantin Mischaikow (Rutgers University), speaker for IPAM’s workshop, Beam Dynamics.
- Mikhail Khovanov (Columbia University), speaker for IPAM’s 2017 workshop, Gauge Theory and Categorification.
- Joel Kamnitzer (University of Toronto), speaker for IPAM’s 2017 workshop, Gauge Theory and Categorification.
- Ivan Corwin (Columbia University), speaker for IPAM’s 2020 workshop, Asymptotic Algebraic Combinatorics.
- Michael Yampolsky (University of Toronto), core participant for IPAM’s 2007 long program, Random Shapes.

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IPAM is proud of their accomplishments!

]]>Solving the electronic Schrödinger equation is at the heart of computing and understanding in detail the physical and chemical properties of molecules and materials. They are of paramount importance for developing new drug molecules, biofuels or nanomaterials. Unfortunately the Schrödinger equation can only be solved exactly for the hydrogen atom, and the cost of highly accurate approximations to the solution increases exponentially with the number of electrons involved, limiting these approaches to tiny molecules. In the 2019 IPAM fall program “Machine learning for physics and the physics of learning” we have made key steps in developing a new solution to this long-standing problem where a deep neural network dubbed “PauliNet” is employed as an Ansatz function for the solution of the electronic Schrödinger equation that is optimized with variational Monte Carlo. PauliNet achieves ultrahigh-accuracy solutions of the electronic Schrödinger equation for small molecules at lower cost than methods not involving deep learning. In the spirit of the IPAM program, PauliNet gets much of its efficiency by combining the power of machine learning with fundamental physics knowledge guiding the neural network to meaningful solutions. The work was recently published in Nature Chemistry (Hermann, Schätzle, and Noé, Nature Chemistry volume 12, pages 891–897(2020)).

]]>- Kristin Lauter (Microsoft Research), organizer and speaker for several IPAM events, including the 2016 workshop Algebraic Geometry for Coding Theory and Cryptography.
- Jack Xin (University of California, Irvine), speaker for IPAM’s 2020 workshop Stochastic Analysis Related to Hamilton-Jacobi PDEs.
- Leslie Hogben (Iowa State University ), speaker for IPAM’s 2011 event NSF Mathematics Institutes’ Modern Math Workshop (at SACNAS).
- Isaac Held (Geophysical Fluid Dynamics Laboratory/NOAA), speaker for IPAM’s 2007 workshop Small Scales and Extreme Events: The Hurricane.

- Ami Radunskaya (Pomona College), organizer and speaker for IPAM’s 2011 conference, Women in Mathematics Symposium.
- Bozenna Pasik-Duncan (University of Kansas), speaker for IPAM’s 2019 workshop, Autonomous Vehicles.
- Talitha M. Washington (Clark Atlanta University and Atlanta University Center), panelist for IPAM’s Latinx in the Mathematical Sciences Conference 2018.
- Alina Bucur (University of California-San Diego), core participant for IPAM’s 2014 long program, Algebraic Techniques for Combinatorial and Computational Geometry.

A complete list of 2021 Fellows can be found here.

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