Fabien Cléry received his Ph.D. in 2009 from the University of Lille 1. Since then, he has held positions at the University of Amsterdam, the University of Hannover, the University of Siegen, the Max Planck Institute for Mathematics in Bonn, and the University of Loughborough. His research interests are on two types of modular forms focusing on the theory but also on computational aspects. The two types of modular forms that he is currently studying are Siegel modular forms and Picard modular forms. Fabien is working as a Senior Research Associate David as part of the Simons Collaboration on Arithmetic Geometry, Number Theory, and Computation.

I received my PhD from Princeton in 2019 under the supervision of Assaf Naor after undergraduate studies at the University of Athens. My research interests lie in metric geometry, discrete analysis and convexity. Under the auspices of ICERM's “Harmonic Analysis and Convexity” program, I hope to continue ongoing projects and start new collaborations on Brunn-Minkowski theory and Boolean analysis.

Fushuai (Black) Jiang received his PhD in June 2022 at the University of California, Davis under the supervision of Kevin Luli. He is broadly interested in real and harmonic analysis, with a special focus on Whitney-type extension and trace problems with constraint, along with their connection to machine learning. His recent work studies the effect of nonnegativity on extension and the existence of efficient extension algorithms. He will be a fall semester postdoc at ICERM and will be a Novikov Postdoctoral Fellow at the University of Maryland, College Park.

David Lowry-Duda’s research interests primarily lie in analytic number theory, and in particular on automorphic forms and L-functions. During his PhD, he developed a new approach to study the size and behavior of automorphic forms. He has contributed to data creation for the LMFDB, as well as day-to-day maintenance. David completed his Ph.D. at Brown University in 2017, worked as a postdoctoral researcher at Warwick Mathematics Institute. David has returned to ICERM as a Senior Research Associate to work with Brendan Hassett as part of the Simons Collaboration on Arithmetic Geometry, Number Theory, and ComputationCollaboration on Arithmetic Geometry, Number Theory, and Computation.

Insung Park received PhD in August 2021 at Indiana University Bloomington under the supervision of Dylan Thurston. They will be a Simons bridge postdoc at ICERM for 2021-2022 and will be a postdoc research member of MSRI's semester program in 2022 spring. Insung is broadly interested in low-dimensional topology, geometry, and dynamics. In recent years, they’ve been mainly studying the dynamics of post-critically finite rational maps and its connection with metric geometry and geometric group theory. Their recent work is to characterize Julia sets with Ahlfors regular conformal dimension one in terms of invariant graphs with entropy zero.

Michael Roysdon received his PhD from Kent State University in 2020 under the supervision of Professor Artem Zvavitch. From 2020-2022 he was a Zuckerman Institute Postdoctoral Scholar at Tel Aviv University under the supervision of Professor Shiri-Artstein Avidan. From Fall 2022, he will be a ICERM PostDoctoral scholar participating in the seminar program "Harmonic Analysis and Convexity." Thereafter, he will begin a CRM-ISM Postdoctoral position at University of Montreal. His research interests include Asymptotic Geometric Analysis, Harmonic Analysis and its links to Convex Geometry, Isoperimetric problems, and more recently, the link between Riemannian Geometry and Convexity.

Nimita will receive her Ph.D. in 2022 jointly from Indian Institute of Technology Bombay and Monash University under the supervision of Prof. Vishnu Narayanan and Dr. James Saunderson. She will be a postdoc fellow at ICERM from September 2022 - May 2023. Her dissertation work mainly focused on large-scale optimization problems (with development of randomized algorithms for certain combinatorial optimization problems, especially semidefinite programs). She is broadly interested in approximate memory-efficient algorithms for large-scale convex optimization, integer and combinatorial optimization proving the tightness of semidefinite relaxations. Her current work focuses on developing approximate first-order algorithms with inexact oracle for problems with a self-concordant objective function.

Padmavathi Srinivasan received her PhD in 2016 at MIT under the direction of Bjorn Poonen. She will join ICERM as a Senior Research Associate as part of the Simons Collaboration on Arithmetic Geometry, Number Theory, and Computation in Fall 2022, after postdoctoral positions at the Georgia Institute of Technology and the University of Georgia. She is interested in various explicit aspects of families of curves and abelian varieties, and their applications to the study of rational points on curves.

Manasa N. Vempati obtained her PhD in May 2021 at Washington University in Saint Louis under the supervision of Dr. Brett D. Wick. From the fall of 2021, she is a postdoc at Georgia Institute of Technology under the mentorship of Dr. Benjamin Jaye. She will be at ICERM, Brown University as a postdoctoral fellow for fall 2022. Her research focuses largely on harmonic analysis, Geometric Measure theory and partial differential equations. Previously she has explored classical questions in harmonic analysis such as two weight inequalities of singular integral operators on spaces of homogeneous type. Her current research focuses on the well-knownDavid-Semmes problem, that deals with the connection between singular integral operators and rectifiability.

Tony Wong is interested in the applications and numerical analysis of dynamical systems. He completed his PhD in 2021 at UBC under the supervision of Colin Macdonald and Michael Ward. His dissertation work studies localized patterns in linear and nonlinear pattern-forming models. In his next step, he would like to apply his analytical and computational skill sets to investigate pattern formation problems in a broader range of applications. He is looking forward to collaborate with experts from other fields in conducting multidisciplinary research. Tony will be a postdoctoral research associate at ICERM in the Fall of 2021, under the Simon Bridge Program.

Kasia Wyczesany received her PhD in 2021 from the University of Cambridge, where she worked under the supervision of Prof. Timothy Gowers. Since then, she has been a Postdoctoral Fellow at Tel Aviv University, hosted by Prof. Shiri Artstein-Avidan. In fall 2022, she will join ICERM as a semester Postdoctoral Fellow, after which she will be affiliated with Carnegie Mellon University. Her research interests lie mainly in convex geometry, asymptotic geometric analysis and their links to optimal transport theory.

Sudan Xing received her PhD in Department of Mathematics and Statistics at Memorial University of Newfoundland under the direction of Professor Deping Ye in 2019. She will join ICERM as a postdoc as part of the Harmonic Analysis and Convexity program in Fall 2022, after her postdoctoral positions at the University of Alberta. She is interested in convex geometry, functional analysis and information theory, etc. Her works concentrate on the geometry of convex bodies in the high dimensional Euclidean space, the framework of s-concave functions and the Brunn-Minkowski type inequalities for functions. In particular, she has done some related research onDual Orlicz-Minkowski type problems for convex bodies, the Lp Minkowski problem for log concave functions, Lp Brunn-Minkowski inequality and Isoperimetric inequalities for measures, and the framework of Lp operations of functions, etc.

Zhuolun received his Ph.D. degree at Rutgers University in 2021, under the supervision of Professor Yanyan Li. Before that, he received his Master's degree at New York University and Bachelor's degree at Sun Yat-sen University. His research interests lie in analysis and partial differential equations, with particular focus on problems arising from fluid mechanics and composite materials. His current work focuses on characterizing the gradient of solutions to the insulated conductivity problem and the regularity of incompressible stationary Navier-Stokes equation in high dimensions.

Shixuan Zhang received his Ph.D. degree at Georgia Institute of Technology in 2022, under the supervision of Dr. Andy Sun. His research interests mainly lie in mathematical theory and algorithmic analysis for optimization under uncertainty and optimization without convexity. These areas include topics such as stochastic and distributionally robust optimization, polynomial optimization and sum of squares, and mixed-integer nonlinear optimization, with various applications in energy systems and logistics planning.