The American Mathematical Society (AMS) prizes and awards will be presented at the Joint Mathematics Meeting on January 17, 2019, in Baltimore, Maryland. Included in this year’s recipients are two IPAM affiliates, Stephan Ramon Garcia and Arkadi Nemirovski.

Garcia, W.M. Keck Distinguished Service Professor and Professor of Mathematics at Pomona College, is the first ever recipient of the AMS Mary P. Dolciani Prize for Excellence in Research. He received this honor for “his outstanding record of research in operator theory, complex analysis, matrix theory, and number theory, for high quality scholarship with a diverse set of undergraduates, and for his service to the profession” (AMS Website). Garcia, a newly elected Fellow of AMS, was a participant in IPAM’s 2018 spring long program, Quantitative Linear Algebra, and in both the 2015 and 2018 Latinx in the Mathematical Sciences Conferences.

Nemirovski, the John P. Hunter, Jr. Chair and professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Institute of Technology, is one of two recipients of the 2019 Norbert Wiener Prize in Applied Mathematics. This award is presented jointly by AMS and the Society for Industrial and Applied Mathematics (SIAM). Nemirovski was selected for, “his fundamental contributions to high-dimensional optimization and for his discovery of key phenomena in the theory of signal estimation and recovery” (AMS Website). He was elected to the U.S. National Academy of Engineering and the American Academy of the Arts and Sciences and was an organizer of and speaker in IPAM’s 2010 program, Modern Trends in Optimization and its Application.

]]>Galli was awarded the David Adler Lectureship Award in the Field of Materials Physics, “for the invention of methods, especially for the enhancement of ab initio molecular dynamics, to understand, predict, and engineer the electronic and structural properties of materials” (APS Website). She is the Liew Family Professor of Molecular Engineering at the University of Chicago and was an organizer and participant of IPAM’s 2013 long program, Materials for a Sustainable Energy Future. Baskaran received the Early Career Award for Soft Matter Research, “for pathbreaking advances in our understanding of the physics of soft materials out of equilibrium, especially active and granular matter” (APS Website). Baskaran is an Associate Professor of Physics at Brandeis University and was a speaker at IPAM’s 2016 winter workshop, Partial Order: Mathematics, Simulations and Applications.

You can view a complete list of the spring awards here.

]]>Ingrid Daubechies, James B. Duke Professor of Mathematics and Electrical and Computer Engineering at Duke University, will be presented with the Fudan-Zhongzhi Science Award at the 2018 Fudan Science and Innovation Forum on December 16, 2018 in Shanghai, China. Daubechies is the only recipient of the award in 2018 and the sixth person to receive the honor. Candidates are by nomination only and are scientists in the fields of mathematics, physics and biomedicine. Recipients of the award are chosen for their significant achievements in science and technology that have substantially improved our global society and quality of life.

Daubechies was selected for her remarkable contributions to wavelets, her leadership in developing wavelet theory and modern time-frequency analysis, her deep influence on many areas of data analysis and scientific computing, and her contribution to image compression, analog-to-digital conversion and thresholding-based algorithms for inverse problems (Fudan Website). She is a member of the US National Academy of Sciences and the US National Academy of Engineering. Daubechies has been a speaker for several IPAM workshops and an organizer of the Adaptive Data Analysis and Sparsity workshop in 2013. She gave IPAM’s annual Green Family Lecture Series in 2016.

]]>Included in this year’s inductees is Dr. Emery Brown, Director of Harvard-MIT Health Science and Technology Program, Edward Hood Taplin Professor of Medical Engineering and of Computational Neuroscience and Professor of Health Science and Technology at MIT, and Warren M. Zapol Professor of Anaesthesia at Harvard Medical School. According to the FIHF’s website, Brown, raised in Ocala, Florida, was recognized for his “significant contributions to the advancement of the science and practice of anesthesiology, enabling physicians to accurately monitor and safely control the state of patients under anesthetic.” Brown currently holds 3 U.S. patents. He is the recipient of many prestigious awards and fellowships, and a member of several national academies. He has served on IPAM’s Science Advisory Board since 2016.

]]>Congratulations to Deborah Estrin, Professor of Computer Science at Cornell Tech, who was selected as a 2018 Fellow. Estrin achieved the award for “designing open-source platforms that leverage mobile devices and data to address socio-technological challenges such as personal health management” (MacArthur). Estrin was an organizer for one of IPAM’s first long programs, Large Scale Communication Networks in 2002 and a member of IPAM’s Science Advisory Board from 2004-2007. IPAM would also like to congratulate Allan Sly, Professor of Mathematics at Princeton University on this achievement. Sly was a speaker at IPAM’s 2012 winter workshop on Mathematical Challenges in Graphical Models and Message-Passing Algorithms.

]]>On June 25, 2018 the White House Office of Science and Technology Policy (OSTP) and the National Science Foundation (NSF) declared 140 individuals and organizations to be recipients of Presidential Awards for Excellence in teaching or mentoring in science, technology, engineering, and mathematics (STEM). Dr. Erika Camacho, associate professor at Arizona State University’s School of Mathematical and Natural Sciences, was among the individuals recognized for exemplary mentoring. According to ASU News, this is the highest honor given to mentors working in the STEM fields. Camacho is one of four women to receive this honor since 1996 and along with the other recipients she will receive a “presidential citation at an awards ceremony and participate in discussions on STEM and STEM education priorities led by OSTP and NSF” (NSF).

Camacho has contributed to three IPAM conferences. She was an organizer of the 2010 Infinite Possibilities Conference, and a speaker at the 2014 Blackwell-Tapia Conference and Awards Ceremony and the 2015 Latinos in the Mathematical Sciences Conference. She will also participate as a project leader in IPAM’s upcoming Collaborative Workshop for Women in Mathematical Biology.

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Physicists and chemists have been developing methods to overcome this limitation for many years. For example, the Parallel Replica Dynamics (ParRep) method, introduced about 20 years ago by Arthur Voter at Los Alamos National Laboratory, introduces a strategy to parallelize MD over time by using multiple replicas of the system of interest, thereby greatly extending the timescales amenable to direct MD simulation. This is possible so long as one foregoes the generation of a trajectory that is continuous in phase space in favor of a discretized trajectory that represents the evolution of the system as it passes through discrete states. Voter initially showed that such a discretized state-to-state trajectory can be exactly generated in parallel so long as the state-to-state dynamics is Markovian, which is the natural limit when state-to-state transition become increasingly rare. While this yielded an extremely powerful method, its behavior away from the ideal Markovian limit remained poorly understood.

Beginning at an IPAM workshop in 2012, a group of applied mathematicians became intrigued by the simplicity and elegance of the method, but were unsettled by the lack of understanding of the errors present in typical, non-ideal, scenarios. Over the next six years, the active community of mathematicians and domain scientists that developed following this initial impulse met again for a series of additional workshops at IPAM. The researchers came to develop an extremely powerful framework to better understand rare event dynamics in general, and ParRep in particular. This new framework centers upon the concept of the quasi-stationary distribution (QSD), the limiting distribution established by a dynamical system conditional on not escaping a given region of configuration space. The QSD possessed the unique property that, once established, the statistics of following escapes from the specified region of space is exactly Markovian. The team established that the key factor controlling the accuracy and efficiency of ParRep is not whether or not the state-to-state dynamics is originally Markovian, but instead the rate at which the QSD is established. This insight proved extremely powerful because it offered a way to systematically trade computational efficiency for improved accuracy, no matter how states are defined.

These fundamental insights led to a wealth of new developments that were finalized or presented at the IPAM program on “Complex High-Dimensional Energy Landscapes”, including applications to bio-molecules, and the introduction of prediction and speculation in the so-called “Parallel Trajectory Splicing” (ParSplice) method. ParSplice was recently chosen as one of the methods supported by the Department of Energy in order to efficiently leverage upcoming exascale architectures. The quasi stationary distribution approach was also useful from a theoretical viewpoint, to draw rigorous connections between different models of the dynamics of molecular systems (Langevin dynamics and Kinetic Monte Carlo). Such rapid development would not have been possible without avenues such as IPAM, where mathematicians and scientists can interact closely and forge new collaborations.

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We invite you to read our latest newsletter, featuring an article about Wilfrid Gangbo (UCLA) and his ten years of involvement with IPAM, and another on Science Advisory Board member Amie Wilkinson’s (Chicago) contributions to IPAM. It also celebrates another successful Latinx in the Mathematical Sciences Conference, shares the story of a PhD student who was part of our traffic flow management program, includes a note from IPAM director Dima Shlyakhtenko, welcomes Maria D’Orsogna as our new associate director, and presents other news about IPAM and IPAMers. Note that the matching opportunity through the Dean’s office continues for another year (page 5) and we are actively seeking proposals for programs (page 6). Stop by IPAM to pick up a print copy of the newsletter!

]]>Four U.S. students had an intense summer engaged in collaborative research, and a memorable cross-cultural experience. One student wrote, “I would definitely recommend GRIPS to other graduate students, especially if they have any interest in traveling abroad. GRIPS is a great program for students to get applied research experience and the opportunity to live in a foreign country. Working with an international team on an industrial problem is a great experience to help prepare for a career in research after graduate school.”

IPAM and its partner in Japan, the Research Alliance Center for Mathematical Sciences at Tohoku University, will offer the program again in 2019, with four projects and support from the NSF Office of International Science and Engineering.

]]>Quanta Magazine recently published the article “Universal Method to Sort Complex Information Found” that features the work of four computer scientists and Assaf Naor, a mathematician who has served on IPAM’s Science Advisory Board since 2008. The article describes their discovery of a radical approach to solving nearest neighbor problems for complex data. The other authors – Ilya Razenshteyn (Microsoft Research), Alexandr Andoni (Columbia University), Aleksandar Nikolov (University of Toronto), and Erik Waingarten (Columbia University)—approached Naor (Princeton) with a question on expander graphs related to their past work, but his negative answer to the original question has led the team to the discovery of the novel nearest neighbor algorithm.

In addition to serving on the Science Board, Naor has been a speaker at several IPAM workshops on topics such as metric geometry, combinatorics, and high dimensional data analysis, and helped organize a recent long program on Quantitative Linear Algebra. Andoni spoke at the same IPAM workshop on metric geometry in 2009.

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