The invited speakers at any ICIAM Congress are one of the highlights of the Congress. For the 2019 ICIAM Congress in Valencia, Spain, the 27 invited speakers were selected by the Scientific Program Committee, chaired by Professor Alfio Quarteroni. Brief biographies of all the speakers were published on the Congress website and in the Congress program. We publish this information in Dianoia for the information of the ICIAM Community. Speakers are listed here in the alphabetical order of their names.
Prof. Marsha Berger Marsha Berger is a professor in the Computer Science Department of the Courant Institute of Mathematical Sciences, at New York University. Her research has focused on adaptive and Cartesian mesh methods for computational fluid dynamics. She is a SIAM (Society for Industrial and Applied Mathematics) Fellow and a member of both the US National Academy of Sciences and the US National Academy of Engineering. She is also a member of the Cart3D team that won NASA's Software of the Year award in 2002 and IEEE's Fernbach award in 2004. Marsha Berger is a winner (along with Arkadi Nemirovski) of the 2019 Norbert Wiener Prize in Applied Mathematics (given by the American Mathematical Society and SIAM). Her prize citation reads, "for her fundamental contributions to adaptive mesh refinement (AMR) and to Cartesian mesh techniques for automating the simulation of compressible flows in complex geometry." Marsha earned her M.S and Ph.D. at Stanford University.
Prof. Alfredo Bermúdez de Castro Alfredo Bermúdez de Castro (A Coruña, Spain, 1950) is a Professor of Applied Mathematics at the University of Santiago de Compostela (USC) and coordinator of the Research Group in Mathematical Engineering (mat+i) since 1986. He has been a key figure in the development of Applied Mathematics in Spain for the past 40 years, with internationally recognized achievements related to computational methods and their application to industrial problems. His activity spans fluid and solid mechanics, combustion, electromagnetism, acoustics, metallurgy, environment, chemical kinetics, finance, noise control theory and optimization. He was the founding member and former Vice President of the Spanish Society of Applied Mathematics (SEMA), and one of the founding members of the Technological Institute for Industrial Mathematics (ITMATI). He is a member of the Spanish Royal Academy of Sciences, co-chairman of the Scientific Committee at the Basque Center of Applied Mathematics (BCAM) and Honorary member of the European Consortium for Mathematics in Industry (ECMI).
Prof. Peter Bühlmann Bühlmann is Professor of Mathematics and Statistics at ETH Zurich, where he was Chair of the Department of Mathematics from 2013-2017. He studied mathematics at ETH Zurich where he received his doctoral degree in 1993. He was a Postdoctoral Research Fellow in 1994-1995 and a Neyman Assistant Professor from 1995-1997 at UC Berkeley. His main research interests are in high-dimensional and computational statistics, machine learning, causal inference and applications in the bio-medical field. He is a founding member of the Max Planck ETH Center for Learning Systems and a member of the Competence Center for Personalized Medicine (University of Zürich and ETH Zürich). He is a Fellow of the Institute of Mathematical Statistics and of the American Statistical Association, a winner of the Guy Medal in Silver of the Royal Statistical Society, and was an invited speaker at the 2018 ICM in Rio de Janeiro. In 2012, he won the Golden Tricycle Award for the most family-friendly supervisor, at ETH Zu ̈rich.
Prof. Carlos Conca Carlos Conca is Professor at the University of Chile and Researcher at the CMM (Center for Mathematical Modeling) in Chile. He holds a Docteur d'Etat degree in Mathematical Sciences from the University Pierre et Marie Curie, where he worked with Jacques Louis Lions. His research area is mathematical mechanics and inverse problems. He pioneered the development of applied mathematics in Chile, for which he was awarded a Presidential Chair in Sciences by the President of the Chilean Republic in 1996, and the National Award of Exact Sciences by the Ministry of Education in 2003. Beyond mathematical theory, his research encompasses phenomena in processes of industrial origin. Mathematical models he proposed at the beginning of the 1980’s gave useful answers to questions from the company “Electricité de France" on tubular nuclear reactors. In Chile, he has fostered a fruitful relationship with the mining company CODELCO Chile (National Copper Corporation of Chile) for more than 30 years. Carlos Concas's ideas have led both to developments in pure and applied mathematics and to technological innovations.
Prof. Wolfgang Dahmen Wolfgang Dahmen is the SmartState and Williams-Hedberg-Hedberg Chair in Mathematics at the University of South Carolina, USA. His research interests are in Approximation Theory, Numerical, Applied and Harmonic Analysis as well as interdisciplinary applications. Together with his collaborators he has developed adaptive and nonlinear solution concepts in a variety of contexts such as image and data analysis, machine learning, the numerical solution of singular integral and partial differential equations, and model reduction. Professor Dahmen received his PhD from RWTH Aachen in 1976 and his Habilitation from the University of Bonn. After an IBM Postdoctoral Fellowship, he held positions at the University of Bielefeld, the Free University of Berlin and RWTH Aachen, where he held a Distinguished RWTH Professorship before joining the University of South Carolina in 2017. He has received the Gottfried-Wilhelm-Leibniz Award of the German Research Foundation, and was elected to the German National Academy of Sciences, Leopoldina. Among many other distinctions, he has been Chair of the Board of Directors of the Society Foundations of Computational Mathematics.
Prof. Hans De Sterck Hans De Sterck has returned to the University of Waterloo, Canada, where he is Professor of Applied Mathematics, after being head of the Applied Mathematics Section at the School of Mathematical Sciences of Monash University in Melbourne, Australia since 2015. He studied at the University of Leuven, Belgium, and held postdoctoral positions at the von Karman Institute in Belgium, and the University of Colorado, USA. His main area of research is high-performance numerical methods for computational science and data science. His research includes multilevel methods for linear systems and Markov chains, high-order accurate methods for nonlinear systems of hyperbolic PDEs, and nonlinearly preconditioned optimization methods for tensor decompositions, with applications ranging from parallel computational fluid dynamics to big data processing and computational social science. Professor De Sterck's professional activities include Chair of the SIAM activity group on Computational Science and Engineering (2017-2018) and Vice-Chair of the SIAM activity group on Data Mining and Analytics (2018-2019).
Prof. Leah Edelstein-Keshet Leah Keshet obtained her BS and MS from Dalhousie University, Canada, and her PhD from the Weizmann Institute of Science, Israel, in 1982 under the supervision of L. A. Segel. She held postdoctoral appointments at Brown and Duke Universities in the USA before moving to her current position at the University of British Columbia, Canada. Her research focuses on mathematical models in biology, at macroscopic, cellular and sub-cellular levels. Leah was the first woman president of the Society for Mathematical Biology (SMB). She has won the Krieger-Nelson Prize of the Canadian Mathematical Society (CMS) for outstanding research by a female mathematician, and the Research Prize of the Canadian Applied and Industrial Mathematics Society, CAIMS. She has been selected as a Fellow of SIAM and of SMB. Besides ICIAM, Leah has been an invited plenary speaker at many conferences, including SIAM Life Sciences, CMS, Royal Society, ANZIAM, CAIMS, and ESTMB. In 2016, the SMB initiated the Leah Edelstein-Keshet Prize to recognize women, both junior and senior, who have made outstanding research contributions to mathematical biology.
Prof. Isabelle Gallagher Isabelle Gallagher is Professor of Mathematics at Paris-Diderot University and at the Ecole Normale Suprieure of Paris. She earned her PhD from Pierre and Marie Curie University, and worked at the Centre Nationale de la Recherche Scientifique (CNRS) before assuming her current position. Her principal research concerns the mathematical analysis of Partial Differential Equations related to Fluid Mechanics, through two different points of view. First, she examines reconciling the derivation of macroscopic PDE with Newton's laws for classical particles constituting the microscopic description of fluids. In addition, she studies long-standing open questions concerning the behavior of smooth solutions to the Navier-Stokes equations associated with smooth initial data in three space dimensions, and solving these equations globally for general initial data. She was an invited speaker at ICM 2014 and ECM 2012, and the recipient Paul Doistau–Émile Blutet Prize of the French Academy of Sciences in 2008, and of the CNRS Silver Medal in 2016.
Prof. Omar Ghattas Omar Ghattas is the John A. and Katherine G. Jackson Chair in Computational Geosciences, Professor of Geological Sciences and Mechanical Engineering, and Director of the Center for Computational Geosciences in the Institute for Computational Engineering and Sciences (ICES) at The University of Texas at Austin. He is also a member of the faculty in the Computational Science, Engineering, and Mathematics (CSEM) interdisciplinary PhD program in ICES, and holds courtesy appointments in Computer Science and Biomedical Engineering. Prior to coming to UT-Austin in 2005, he was a professor at Carnegie Mellon University. He earned BS, MS, and PhD degrees from Duke University. Ghattas's research interests include simulation and modeling of complex geophysical, mechanical, and biological systems on supercomputers, with specific interest in inverse problems and associated uncertainty quantification for large-scale systems. Among his honors are the ACM Gordon Bell Prize in 2003 (for Special Achievement) and again in 2015 (for Scalability); and the 1998 Allen Newell Medal for Research Excellence. He is a Fellow of the Society for Industrial and Applied Mathematics (SIAM).
Prof. Donald Goldfarb Donald Goldfarb is the Avanessians Professor of Industrial Engineering and Operations Research at Columbia University. He is internationally recognized for the development and analysis of efficient and practical algorithms for solving various classes of optimization problems, including the BFGS (Broyden-Flecher-Goldfarb-Shanno) quasi-Newton method for unconstrained optimization, steepest-edge simplex algorithms for linear programming, and the Goldfarb-Idnani algorithm for convex quadratic programming. After obtaining a PhD degree from Princeton, Goldfarb spent two years as a postdoctoral fellow at the Courant Institute. He co-founded the Computer Science Department at the City College of New York before joining Columbia University. Goldfarb is a Fellow of SIAM. He was awarded the INFORMS John Von Neumann Theory Prize in 2017, the Khachiyan Prize in 2013, the INFORMS Prize for Research Excellence in the Interface between OR and CS in 1995, and was listed in The World's Most Influential Scientific Minds, 2014, as being among the 99 most cited mathematicians between 2002 and 2012.
Dr. Thomas A. Grandine Thomas Grandine is a Senior Technical Fellow of The Boeing Company, one of the world's premier aerospace companies, where he has worked for the past 32 years. He received a B.S. degree from Yale University in 1981, and attended graduate school at The University of Wisconsin, studying mathematics and computer science and earning masters degrees in each on his way to a Ph.D. in numerical analysis as a student of Carl de Boor. His areas of expertise include advanced geometric design, curve and surface modeling, numerical approximation, splines, and multidisciplinary design optimization. He has extensive experience in computational methods for both design and manufacturing applications. In addition to a long publication record, he holds a number of patents. He is a Fellow of the Society for Industrial and Applied Mathematics, where his involvement includes six years as Vice President for Industry. He is currently a member of the Board of Trustees of SIAM.
Prof. Nicholas Higham Nicholas Higham is Royal Society Research Professor and Richardson Professor of Applied Mathematics at the University of Manchester. His degrees are from the University of Manchester, and he has held visiting positions at Cornell University and the Institute for Mathematics and its Applications, University of Minnesota. His research is in numerical linear algebra and ranges from theory to the development of algorithms and software, with a focus on accuracy and stability. His book “Functions of Matrices: Theory and Computation”(SIAM, 2008) was the first research monograph on matrix functions and he is editor of the “Princeton Companion to Applied Mathematics” (2015). Professor Higham's honors include the Alston S. Householder Award, the Leslie Fox Prize in Numerical Analysis, a Junior Whitehead Prize from the London Mathematical Society, and the Fröhlich Prize of the London Mathematical Society. He is a Fellow of the Royal Society, a SIAM Fellow, and a Member of Academia Europaea, and has just completed a term as President of SIAM, 2017-2018.
Prof. Yunqing Huang Yunqing Huang is a professor of mathematics at Xiangtan University. He obtained his PhD degree from the Chinese Academy of Sciences, and started his career with high accuracy analysis of finite element methods, investigating such properties as superconvergence, extrapolation, postprocessing, and a posteriori estimates. Another of Professor Huang's research directions is the finite element analysis of electromagnetic fields in metamaterials. He and coauthors obtained optimal error estimates and superconvergence for various models. They have also worked on modeling and simulations on backward wave propagation and electromagnetic cloaking. Professor Huang's awards include the Feng Kang Scientific Computing Award, the First Class Natural Science Award of the Ministry of Education, the First Class Natural Science Award of Hunan Province, and the Second Class National Award in Teaching Achievements. He is also the Chief Editor of AAMM（Advances in Applied Mathematics and Mechanics), and recipient of the National Science Fund for Distinguished Young Scholars.
Dr. Kristin Lauter Kristin Estella Lauter a Principal Researcher and Research Manager of the Cryptography Group at Microsoft Research in Redmond, Washington. Lauter received her BA, MS, and Ph.D degrees in mathematics from the University of Chicago. Prior to joining Microsoft, she held positions as a visiting scholar at Max Planck Institut fur Mathematik in Bonn, Germany, T.H. Hildebrandt Research Assistant Professor at the University of Michigan, and a visiting researcher at Institut de Mathematiques Luminy in France (1999). Lauter's research areas are number theory, algebraic geometry, and applications to cryptography. She is particularly known for her work on homomorphic encryption, elliptic curve cryptography, and for introducing supersingular isogeny graphs as a hard problem into cryptography. Lauter is a recipient of the Selfridge Prize and is a Fellow of the American Mathematical Society and of the Association for Women in Mathematics. Lauter is the 2018-2020 Polya Lecturer for the Mathematical Association of America. She served as President of the Association for Women in Mathematics from 2015 –2017.
Prof. Claude Le Bris Claude Le Bris is Civil Engineer-General and Research Scientist at the École des Ponts, Paris, as well as scientific leader of the MATHERIALS research team at Inria. After graduating from Ecole Polytechnique, he earned his PhD under the supervision of Pierre-Louis Lions. His research has focused on mathematical analysis and numerical methods for partial differential equations, with contributions in several areas including the mathematics of computational chemistry and physics, multiscale problems and homogenization theory. Le Bris' list of honors includes the Blaise Pascal Prize from the French Academy of Sciences and the Giovanni Sacchi-Landriani Prize from the Lombard Academy of Arts and Sciences. He gave an invited lecture at the ICM, Madrid 2006. He has been a Distinguished Ordway Visitor at the University of Minnesota, an Aisenstadt Chair at the Université de Montréal, Charles J. Amick Memorial Lecturer at the University of Chicago, Göran Gustafsson lecturer in Mathematics at KTH Stockholm,and Coxeter lecturer at the Fields Institute, Toronto.
Prof. Ruo Li Ruo Li was educated at Peking University, where he received a PhD in computational mathematics under P.-W. Zhang. After graduation and a postdoctoral fellowship at the University of Kent, UK, he moved back to Peking University as a faculty member. He has been a visitor at Caltech, Hong Kong Baptist University and Hong Kong University of Science and Technology. He now serves as the associate dean of the School of Mathematical Sciences at Peking University. His research focus is numerical methods for partial differential equation, particularly numerical methods for fluid dynamics, including discontinuous Galerkin methods for eigenvalue problems, and patch reconstruction tools. Some of Li's other research topics include stochastic Galerkin methods for uncertainty quantification, compressible two-phase flows and kinetic theory. He is also known for work on level-set methods and nearly-singular solutions of Euler and Navier-Stokes equations. He is the faculty advisor for the Peking University student chapter of SIAM.
Prof. Kazue Sako Kazue Sako is a Distinguished Researcher in the Security Research Labs of the NEC Corporation, where she has worked since 1986. She earned a BS in Mathematics and a PhD in Engineering from Kyoto University, and also lectures at the Tokyo Institute of Technology. In her career path at NEC, she rose through positions as Researcher, Principal Researcher, Research Fellow, Innovation Producer and Senior Engineer before assuming her present prosition. Her research area is cryptography, and she works on protocols for creating "a safe, secure, and fair society", currently focusing on the application of blockchain technology, used in Bitcoin cryptocurrency, to other fields, with the objective of making a safer society. Her research includes cryptographic protocols for such applications as electronic voting, auction, lottery, and anonymous authentication. Dr. Sako is a member of the Science Council of Japan, and is the current President of JSIAM, as well as Vice President of the Institute of Electronics, Information and Communication Engineers. Her research publications have won several awards from IPSJ, the Information Processing Society of Japan.
Prof. Sylvia Serfaty Sylvia Serfaty is Silver Professor at the Courant Institute of Mathematical Sciences of New York University. She earned her BS and MS in Mathematics from the École Normale Supérieure in Paris, and her PhD from Université Paris Sud. Her previous positions include appointments at Université Pierre et Marie Curie, and the Ecole Normale Superiore de Cachan. She works in calculus of variations, nonlinear partial differential equations, and mathematical physics. A large part of her work has focused on the Ginzburg-Landau model of superconductivity and on understanding why and when vortices form triangular lattices. She has more recently turned her attention to questions of statistical mechanics of systems with Coulomb-type repulsion, also arising in approximation theory and random matrices, and which turn out to be generalizations of the questions addressed for the behavior vortices in superconductors. She was a plenary speaker at the ICM Rio in 2018, and is the recipient of the EMS and Henri Poincaré prizes, and of the Grand prix Mergier Bourdeix of the French Academy of Sciences.
Prof. James Sethian James Sethian is Professor of Mathematics at the University of California at Berkeley and is the Director of the Center for Advanced Mathematics for Energy Research Applications (CAMERA) at the Lawrence Berkeley National Laboratory, which develops new mathematical and computational techniques for analyzing data that come from synchrotron light sources. Sethian's research has been focused on computational methods for moving interfaces in fluids and materials, and has applied these techniques to a host of scientific and engineering problems, including applications to fluid mixing, semiconductor modeling, wave propagation in materials, industrial jetting and printing devices, image processing, combustion modeling, and industrial foams. He is a fellow of SIAM and of the AMS, is a member of both the US National Academy of Sciences and the US National Academy of Engineering, has received the ICIAM Pioneer Prize and the joint SIAM-AMS Wiener Prize, and was a plenary speaker at ICIAM in 1999. He received his PhD from the University of California at Berkeley, and B.A. from Princeton University.
Prof. Panagiotis Souganides Panagiotis Souganides is the Charles H Swift Distinguished Service Professor of Mathematics at the University of Chicago, USA. Following his PhD at the University of Wisconsin and a postdoctoral position at the University of Minnesota, he served on the faculty of Brown University, the University of Wisconsin and the University of Texas before joining the University of Chicago in 2008. His research area is Partial Differential Equations, where he has been one of the developers of the theory of homogenization and stochastic methods. He has made contributions to phase transitions and evolution of interfaces, microscopic limits of particle systems, turbulent combustion, stochastic homogenization, stochastic partial differential equations, and equations on graphs. In 1994, he gave an invited lecture at the ICM in Zurich, and in 2009 he received the Medal of the College de France. He has served on the Board of Governors of the (Minnesota) Institute for Mathematics and its Applications, and on the Council of the American Mathematical Society. In 2017 he was elected a member of the European Academy of Sciences.
Prof. Hiroshi Suito Hiroshi Suito is a professor and principal investigator at the Mathematical Science Group of Advanced Institute for Materials Research, Tohoku University, Japan. His main research fields are applied mathematics and numerical simulations, which he has used to address widely diverse problems. After working as an engineer at COMCO and a research scientist at Institute of Computational Fluid Dynamics, Co. Ltd, Hiroshi Suito obtained his PhD degree from Chiba University. He has served on the faculty of Chiba University and also Okayama University. Through the Japan Science and Technology Agency (JST) Mathematics Program “Alliance for Breakthrough between Mathematics and Sciences”, he worked closely with medical doctors on such problems as biological flows, and medical image diagnosis. Professor Suito has also applied mathematical modeling and numerical simulation to resolving environmental issues of air and water flows. He was awarded the Grand Prize of the Second H. Fujiwara Mathematical Science Award in 2013.
Prof. Eitan Tadmor Eitan Tadmor is a Distinguished University Professor at the University of Maryland, College Park (UMd). He earned his PhD from Tel Aviv University, held a postdoctoral fellowship at CalTech, and then served on the faculty and Tel Aviv University and UCLA before being recruited to lead the University of Maryland Center for Scientific Computation and Math Modeling. Tadmor's research centers on the interplay between analytical theories and computational algorithms with diverse applications to shock waves, kinetic transport, incompressible flows, image processing, and self-organized dynamics. His contributions to the development of high-resolution methods include introducing the class of central schemes, of entropy conservative schemes and the spectral viscosity method for nonlinear conservation laws. He is also known for multi-scale hierarchical decompositions for solving ill-posed inverse problems in image processing. Tadmor delivered an invited lecture at the ICM 2002 Beijing; he is a Fellow of the AMS, and a recipient of the SIAM-ETH Henrici prize.
Prof. Anna-Karin Tornberg Anna-Karin Tornberg is a professor of Numerical Analysis at KTH, Sweden. Her research concerns the development of numerical methods for the solution of partial differential equations. One specific focus is on boundary integral methods for fluid flows involving particles and drops. Professor Tornberg earned her PhD in Numerical Analysis at KTH, and held postdoctoral positions there and at the Courant Institute, NYU, USA. She also served on the faculty at NYU before returning to KTH. Among her honors are the Leslie Fox First Prize in Numerical Analysis, the Carl-Axel Froberg Prize, and the Göran Gustafsson prize in Mathematics, where she was the first woman to receive the prize in mathematics. She is an elected member both of the Swedish Royal Academy of Sciences of the Swedish Royal Academy of Engineering Sciences. Earlier awards include the selection as an Alfred P. Sloan research fellow (2006) while Prof. Tornberg was part of the faculty at the Courant Institute of Mathematical Sciences (New York University). She was an invited speaker at a SIAM annual meeting, at SciCADE and at the ICM Rio de Janeiro 2018.
Prof. Marcelo Viana Marcelo Viana is a professor of mathematics and is currently the director of the Instituto de Matemática Pura e Aplicada (IMPA), in Rio de Janeiro. His undergraduate degree is from the University of Porto, Portugal, and his doctoral degree from IMPA. His research interests cover several areas of dynamical systems, ergodic theory and bifurcation theory, including regularity of Lyapunov exponents, intermittency and strange attractors. Viana's academic distinctions include the Ramanujan Prize and the Grand Prix Scientifique Louis D. awarded by the Institut de France, and the National Order of Scientific Merit (Brazil). He is a member of the Brazilian Academy of Sciences, and a Corresponding Member of the Portuguese and of the Chilean Academies of Sciences. He has been a plenary speaker at the International Congress of Mathematical Physics, the International Congress of Mathematicians and the Latin American Congress of Mathematicians. Viana served as vice-president of the International Mathematical Union, and chaired the organization of the International Congress of Mathematicians in Rio de Janeiro in 2018.
Prof. Xiao-Ping Wang Xiaoping Wang received his BSc degree in mathematics from Peking University and his PhD degree in mathematics from Courant Institute, NYU, USA. He was a postdoctoral fellow at MSRI, Berkeley and at the University of Colorado, Boulder, as well as a visitor at the Program in Applied and Computational Mathematics, Princeton University before he came to the Hong Kong University of Science and Technology (HKUST). Prof. Wang is currently Chair Professor of mathematics and the department head at HKUST, and is the Director of the Croucher Laboratory on Multi-scale Modelling and Computation. Professor Wang’s contributions include adaptive methods for singular problems; his current research interests span modeling and simulation of interface problems and multiphase flow; numerical methods for micromagnetic simulation; and thresholding in image segmentation. He has received the Feng Kang Prize of Scientific Computing of the Chinese Academy of Sciences, and was a plenary speaker at the SIAM Conference on Mathematical Aspects of Materials Science in 2015.
Prof. J.A.C. Weideman JAC (André) Weideman is Professor of Applied Mathematics at Stellenbosch University in South Africa. He was born in Bloemfontein, South Africa, and educated at the University of the Orange Free State (UOFS) in the same city. Before moving to Stellenbosch and taking up his current position, he occupied academic positions at the UOFS, at MIT, and at Oregon State University, USA. Professor Weideman's research focuses on computational results for classical (and less classical) equations of applied mathematics. Among Weideman's most cited research is an early paper on the numerical solution of the nonlinear Schrödinger equation, and mid-career papers on software for spectral methods for differential equations as well as an algorithm for the computation of the complex error function. His recent interests include the numerical inversion of the Laplace transform, contour integral methods for partial differential equations, and the computation of the Painlevé transcendents in the complex plane. Weideman is associate editor of Numerical Algorithms and Electronic Transactions of Numerical Analysis, and is Fellow of SIAM.
Prof. Karen E. Willcox Karen E. Willcox is Director of the Institute for Computational Engineering and Sciences (ICES) and a Professor of Aerospace Engineering and Engineering Mechanics, at the University of Texas at Austin. She holds the W. A. “Tex” Moncrief, Jr. Chair in Simulation-Based Engineering and Sciences and the Peter O'Donnell, Jr. Centennial Chair in Computing Systems. Willcox holds a Bachelor of Engineering Degree from the University of Auckland, New Zealand, and masters and PhD degrees from MIT. Before joining ICES, she was Professor of Aeronautics and Astronautics at the Massachusetts Institute of Technology and Co-Director of the MIT Center for Computational Engineering. Prior to joining the MIT faculty, she worked at Boeing Phantom Works. Her research has produced scalable computational methods for design of next-generation engineered systems, with a particular focus on model reduction as a way to learn principled approximations from data and on multi-fidelity formulations to leverage multiple sources of uncertain information. Willcox is Fellow of SIAM, an Associate Fellow of AIAA, and a Member of the New Zealand Order of Merit.