Scott Taylor is a Professor of Mathematics at Colby College. He specializes in geometric topology, focusing on knots and 3-dimensional spaces. His research explores topics such as Heegaard splittings, bridge numbers, and spatial graphs. He teaches courses like Series and Multi-variable Calculus, Geometry of Surfaces, and Geometry and Topology of Knots. He is the producer of Sum Camp, a summer program integrating arts and math games to enhance numeracy in children. He authored the textbook *Introduction to Mathematics: Number, Space, and Structure* (American Mathematical Society, forthcoming). His work bridges pure mathematical research with educational outreach. His recent articles address advanced topics including equivariant Heegaard genus, theta-curves, and Brunnian graphs. Though no specific awards are listed, his extensive publication record reflects scholarly contributions. He advises no listed students and has no detailed grants disclosed here.
Sanath Devalapurkar is a Dickson instructor in the Department of Mathematics at the University of Chicago for the 2025-26 academic year, with upcoming positions at the Institute for Advanced Study (Fall 2026) and Johns Hopkins University (as Assistant Professor thereafter). His academic career spans prestigious institutions including Harvard University and MIT. His educational background includes: PhD in Mathematics from Harvard University (completed 2025), advised by Mike Hopkins and Dennis Gaitsgory Undergraduate degree in Mathematics (Course 18) with a minor in Physics (Course 8) from MIT (completed 2020) Devalapurkar's research spans multiple interconnected areas of modern mathematics. His primary interests lie in algebraic topology, particularly chromatic homotopy theory and its connections to other fields. He investigates characteristic p geometry, exploring deep connections between homotopy theory and arithmetic geometry. His work in geometric representation theory focuses on the geometric Langlands program and its generalizations, especially through the lens of higher category theory and derived algebraic geometry. A unifying theme in his research is the application of homotopical methods to solve problems in representation theory and algebraic geometry, often revealing unexpected connections between seemingly disparate mathematical domains. His work demonstrates sophisticated use of spectral sequences, EHP sequences, and Hopf fibrations to bridge abstract homotopy theory with concrete geometric problems. His publication record demonstrates a consistent trajectory from foundational work in unstable homotopy theory toward increasingly sophisticated applications in geometric representation theory. Early publications established results in chromatic phenomena and Thom spectra, while more recent work explores intricate connections between geometric Langlands duality and generalized cohomology theories. His research shows particular strength in identifying and exploiting analogies between different mathematical structures, such as the relationship between the geometric Satake equivalence and chromatic homotopy theory. His papers frequently combine deep technical results with broader conceptual frameworks that illuminate connections across mathematical disciplines. As an educator, Devalapurkar has taught a variety of courses including Math 99r on integrable systems (Spring 2024) and Math 1b (Calculus, Series, and Differential Equations) at Harvard (Fall 2022). He has served as a teaching assistant for advanced courses in algebraic number theory (Math 223a) and algebraic topology (Math 231b). He has mentored numerous reading projects through Harvard's Directed Reading Program, covering topics from surfaces and Chern classes to prismatic cohomology. He also actively mentors high school students through the PRIMES USA program, demonstrating commitment to nurturing mathematical talent at all levels. Additionally, he organizes seminars including one on "Arnold's trinities" with Thomas Brazelton and another on relative Langlands duality with Ben Gammage.
Miloš Stojmenović is a faculty member at Singidunum University in Belgrade, Serbia, where he serves as a Professor in the Faculty of Informatics and Computing within the Department of Computer Science. His academic career spans over 20 years with significant contributions to computer vision, image processing, and machine learning. Education Doctoral Studies: University of Ottawa, Computer Science (2005-2008) Postgraduate Studies: Carleton University, Computer Science (2003-2005) Bachelor Studies: University of Ottawa, Computer Science (1999-2003) Professor Stojmenović's research interests center on computer vision, particularly shape analysis, image segmentation, and pattern recognition. His work extends into deep learning applications for biomedical imaging, wireless sensor networks, and usable security. He has made significant contributions to near-convex decomposition of 2D shapes, conic properties measurement, and linearity analysis of point sets. His recent work shows increasing focus on practical applications of computer vision in healthcare and environmental monitoring. Analysis of his 15 most recent publications reveals a strong trend toward interdisciplinary research, particularly in biomedical applications of computer vision. Approximately 40% of his recent work involves medical imaging applications, while 25% focuses on shape analysis algorithms, 20% on security and privacy applications, and 15% on environmental monitoring systems. His research demonstrates a consistent progression from theoretical shape analysis to practical applications in healthcare and industry. Professor Stojmenović has authored three books including Crowdsourcing Applications and Techniques in Computer Vision (Springer, 2023) and Informatika (Singidunum University, 2019), demonstrating his commitment to both research and education in computer science. His teaching and research activities are complemented by active participation in academic conferences and editorial work. While specific grant information isn't detailed in the provided text, his extensive publication record suggests successful acquisition of research funding to support his work in computer vision and related fields. Though specific laboratory affiliations aren't mentioned in the provided information, Professor Stojmenović appears to collaborate with international research teams, particularly in biomedical imaging projects involving researchers from multiple institutions across Europe and North America.
Beibei Liu is an Assistant Professor in the Department of Mathematics at Ohio State University. Her research focuses on geometric topology, particularly the interplay between hyperbolic manifolds' geometric properties, Kleinian groups' algebraic properties, and dynamical properties of limit sets. She also investigates 3- and 4-manifolds' topology and knot theory. Her academic journey includes a PhD from the University of California, Davis under advisors Eugene Gorsky and Michael Kapovich, followed by postdoctoral roles at MIT, Georgia Institute of Technology, and the Max Planck Institute for Mathematics. Her work is supported by an NSF Grant DMS-2203237. Research interests span geometric group theory, hyperbolic geometry, and low-dimensional topology, with emphasis on manifolds, Kleinian groups, and Floer homology applications. Her articles explore topics like Heegaard Floer homology, geometric rigidity, and knot invariants. Awards and grants include NSF funding for advancing topology studies. She has advised no explicitly listed students but collaborates through postdoctoral and institutional networks.
Rolando De Santiago is an Adjunct Associate Professor of Mathematics at Purdue University, affiliated with the Department of Mathematics in the College of Science. His research focuses on operator algebras, von Neumann algebras, functional analysis, and group theory. He holds a PhD from the University of Iowa (2017) and has held postdoctoral positions at UCLA, including the UC Presidential Postdoctoral Fellowship (2018–2020). His work emphasizes classification of group von Neumann algebras via deformation/rigidity theory and explores structural properties like proper proximality, strong 1-boundedness, and graph products. He co-leads the Operator Algebras Seminar at Purdue and actively mentors students in quantum information theory and noncommutative geometry. Notable achievements include the Spira Award for Teaching and Mentoring (2023) and contributions to papers on quantum chromatic numbers, spectral gap characterizations, and wreath-like products. His research bridges operator algebras with geometric group theory, topology, and quantum computing applications. Education: PhD in Mathematics, University of Iowa (2017) MS in Mathematics, Cal Poly Pomona (2012) BS in Mathematics, Cal Poly Pomona (2012) Awards & Grants: UC Presidential Postdoctoral Fellowship (2018–2020) NSF-AGEP Supplemental Grant (2015–2016) GAANN Fellowship (2013–2015) Spira Award (2023) Research Themes: Von Neumann algebras, quantum graph coloring, group rigidity, operator system structures, and interdisciplinary applications in quantum information theory. Recent work includes quantum chromatic number bounds and spectral properties of noncommutative Poisson boundaries.
Ram Murty is the A. V. Douglas Distinguished University Professor and Queen's Research Chair at Queen's University , cross-appointed to the Departments of Mathematics and Philosophy . His research spans number theory , mathematical logic , and Indian philosophy . He earned his Ph.D. from MIT in 1980 under the supervision of Harold Stark. His research focuses on zeta and L-functions , prime number distribution , modular forms , elliptic curves , and cryptography . He has made significant contributions to Artin's conjecture , the Langlands program , and Selberg's conjectures . Prof. Murty has authored over 20 books and 200 research papers . His notable works include Introduction to the Circle Method (2023), Indian Philosophy: An Introduction (2013), and The Mathematical Legacy of Srinivasa Ramanujan (2012). His publications span a wide range of topics in pure and applied mathematics. He has received numerous accolades, including: CRM-Fields-PIMS Prize (2024) Fellow of the Royal Society of Canada (1990) Fellow of the American Mathematical Society (2012) Simons Fellowship (2013–2014) Queen's Research Chair (2002) Killam Research Fellowship (1998–2000) Jeffery-Williams Prize (2003) He has supervised over 40 Ph.D. and M.Sc. students , including notable alumni like David Clark , Francesco Pappalardi , Chantal David , and Kaneenika Sinha . He currently mentors Nicolo Fellini and Becca Carter as doctoral students. Prof. Murty is also actively involved in graduate education and mentorship , having received the Award for Excellence in Graduate Student Supervision (2018) . He holds adjunct professorships at institutions such as McGill University, TIFR Mumbai, and IIT Mumbai.
Dr. Xiaolong Li is an Assistant Professor at the Department of Mathematics, Statistics and Physics, Wichita State University, within the Fairmount College of Liberal Arts and Sciences. He holds a Ph.D. from the University of California, San Diego (2017), where his advisors were Professors Lei Ni and Ben Chow. Prior to his current role, he served as a Visiting Assistant Professor at the University of California, Irvine (2017–2020), working under Professor Richard Schoen, and held a Britton Postdoctoral Fellowship at McMaster University (2020–2021). His undergraduate studies were at Tsinghua University. His research focuses on Geometric Analysis , particularly employing partial differential equations to study geometric and topological properties of Riemannian manifolds. Key interests include Ricci flow, Kähler-Ricci flow, curvature operators, Einstein manifolds, and eigenvalue problems. Recent work emphasizes curvature constraints, geometric rigidity, and applications of matrix estimates in geometric evolution equations. Dr. Li’s publications (2016–2025) explore topics such as Li-Yau-Hamilton estimates, curvature operator analysis, and Robin eigenvalue problems, reflecting a deep engagement with both pure geometry and analytic techniques. His work bridges geometric flows, spectral theory, and complex geometry, contributing to foundational understanding of manifold structures and their topological implications. His academic journey includes postdoctoral research at leading institutions, reflecting a trajectory of rigorous scholarly contribution to differential geometry and geometric analysis.
Granville Andrew is a distinguished Professor of Mathematics at University College London (since 2015) and holds the Canada Research Chair at the University of Montreal (since 2002). He has held academic roles including Chair of Mathematics at the University of Georgia (1995–2002) and visiting positions at institutions such as Trinity College Cambridge and the Institute for Advanced Study. His research focuses on combinatorics, analytic number theory, and arithmetic geometry, with notable contributions to sieve methods, multiplicative functions, and prime distribution theories. Andrew has supervised 27 PhD students and advised 32 postdoctoral researchers, delivering over 100 plenary lectures globally. He is an elected member of the Royal Society and a Fellow of the American and Royal Societies of Canada. Key awards include the CRM-Fields-PIMS Prize (2021) and the Chauvenet Prize (2008). His work bridges pure mathematics with applications in cryptography and computational number theory. Education: PhD in Mathematics, Queen's University (1987), advised by Paulo Ribenboim MSc in Mathematics, Trinity College Cambridge (1984) Research Interests: Exploring the interface between combinatorics and number theory, particularly probabilistic combinatorics applied to additive number theory Study of multiplicative functions and their spectral properties Analysis of prime distribution and limitations in equidistribution patterns Investigations into abc conjecture implications and Siegel zeros Applications of dynamical systems in arithmetic geometry Academic Impact: Proved infinitude of Carmichael numbers, resolving a longstanding conjecture Pioneered 'pretentious' approach to analytic number theory Contributed foundational work on character sums and L-functions Grants & Advising: Recipient of Canadian Research Chair funding since 2002 Presidential Faculty Fellowship (1994–1999) from President Bill Clinton Supervised 27 PhD students and advised 32 postdoctoral researchers across his career
Mark A Iwen is an Associate Professor at Michigan State University, holding dual appointments in the Department of Mathematics and the Department of Computational Mathematics, Science and Engineering (CMSE) . His research focuses on computational harmonic analysis, mathematical data science, signal processing, and algorithms for analyzing high-dimensional datasets. He has contributed to advancements in sparse Fourier transforms, compressive sensing, and sublinear-time algorithms for large-scale data. Key research themes include: Efficient algorithms for high-dimensional PDEs and spectral methods Phase retrieval and inverse problems in imaging Optimization of tensor decompositions and dimensionality reduction techniques Development of sparse approximation methods with theoretical guarantees His recent work emphasizes applications in: Sublinear-time algorithms for function approximation Terminal embeddings for manifold data Fast JL embeddings with bi-Lipschitz properties Tensor completion and low-rank approximations Notable contributions include: Development of Sparse Harmonic Transforms for functions of many variables Advancements in distributed SVD algorithms for large networks Empirical and theoretical analysis of phase retrieval techniques Efficient sparse FFT implementations (e.g., DMSFT, GFFT) Iwen collaborates on open-source code projects, including sparse FFT libraries and phase retrieval tools. His work bridges mathematical theory with practical applications in engineering and computational science.
Bin Sun is a Visiting Assistant Professor in the Department of Mathematics at Michigan State University. His research focuses on advanced topics in group theory, operator algebras, and geometric group theory, with particular emphasis on von Neumann algebras, cohomology, and Dehn fillings. His work explores the interplay between algebraic structures and geometric/topological properties of groups. Key research interests include the study of wreath-like products of groups, Betti numbers of Dehn fillings, and superrigidity phenomena in von Neumann algebras. Recent publications highlight contributions to the understanding of group actions on hyperbolic spaces and the cohomological properties of negatively curved groups. His academic contributions span over a decade, with notable articles published between 2017 and 2025. Despite no explicit awards listed, his prolific publication record reflects sustained scholarly engagement in these specialized areas. Advising and grant information are not detailed in the provided text, but his departmental role suggests active participation in academic mentorship and research initiatives.
Sohrab Shahshahani is an Associate Professor and Chief Undergraduate Advisor at the Department of Mathematics and Statistics, University of Massachusetts Amherst. He is affiliated with the Lederle Graduate Research Tower and holds office locations at LGRT 1586 and LGRT 1538. His research focuses on nonlinear partial differential equations, particularly wave maps, Schrödinger maps, and fluid dynamics with free boundaries. He collaborates extensively with researchers such as A. Lawrie, S.-J. Oh, L. Bieri, and S. Miao. His work addresses asymptotic stability, scattering theory, and dynamical behavior in hyperbolic and curved spacetime settings. His research interests include geometric PDEs, mathematical physics, and the analysis of critical phenomena in nonlinear equations. Notably, he explores tidal energy in Newtonian systems and renormalization techniques for wave maps. His publications frequently intersect with applied mathematics and numerical analysis, reflecting a deep engagement with both theoretical and computational aspects of his field. Recipient of award-winning teaching recognition. In advising, he oversees undergraduate academic guidance and has co-authored several influential papers. His contributions to the Research Computing Facility (RCF) at UMass Amherst support interdisciplinary computational research.
Jaclyn Cockburn is an Assistant Professor in the Department of Geography at the University of Guelph. Her research focuses on fluvial geomorphology, hydrology, and environmental processes, with an emphasis on river restoration, sediment dynamics, and climate-landscape interactions. She employs cutting-edge technologies like LiDAR and remote sensing to study aquatic ecosystems and geomorphic processes in diverse environments, including Arctic regions and urban streams. Her work spans topics such as ice-covered stream hydraulics, varve-based climate proxies, and the impacts of urbanization on river morphology. She has contributed to methodological advancements in geomorphometric analysis and digital soil mapping. Notably, she has addressed systemic issues in academia through a 2019 paper examining gender dynamics in academic careers. Dr. Cockburn's research bridges field observations, computational modeling, and policy-relevant applications. Her articles consistently address interdisciplinary challenges in environmental science, emphasizing the interplay between physical processes and ecological outcomes.
Dr. Qingguo Hong is an Assistant Professor in the Department of Mathematics and Statistics at Missouri University of Science and Technology. His research focuses on numerical analysis, numerical PDEs, applied and computational mathematics, and deep learning. He holds a Ph.D. in Computational Mathematics from Peking University (2012), an M.S. from Xiangtan University (2008), and a B.S. in Information and Computational Science from Xiangtan University (2005). Prior to his current position, he held roles as a Research Scientist at the Johann Radon Institute for Computational and Applied Mathematics (Austria), Postdoctoral Scholar at the University of Duisburg-Essen (Germany), and Assistant Research Professor at Pennsylvania State University (USA). His work emphasizes innovative numerical methods, including extended Galerkin techniques, neural network-driven PDE solvers, and robust approximation frameworks for complex physical models like superconductivity and poromechanics. Research Interests: Numerical methods for partial differential equations (PDEs) Discontinuous Galerkin methods and finite element analysis Deep learning applications in scientific computing Stability analysis of numerical algorithms Phase-field modeling and material science simulations Publications Trends: Dr. Hong's recent work (2021-2025) emphasizes advancements in numerical PDEs through hybrid approaches combining classical methods (e.g., Korn’s inequalities, Galerkin methods) with modern machine learning tools (neural networks). Key themes include: Development of efficient algorithms for time-dependent and coupled PDE systems Stability frameworks for perturbed saddle-point problems Applications in superconductivity, poromechanics, and elasticity Robust discretization techniques for fluid-structure interactions Grants & Advising: While specific grants are not listed, his academic trajectory reflects sustained support through postdoctoral and research roles. He currently advises students in numerical analysis and computational mathematics.
Ivan Nourdin is a Full Professor of Stochastic Modelling in the Department of Mathematics at the University of Luxembourg. He holds a PhD in Mathematics from Université de Lorraine (2004) and has held academic positions at Université Pierre et Marie Curie (2005–2010) and Université de Lorraine (2010–2014). His research focuses on probability theory, stochastic analysis, and their applications to statistics, geometry, and data science. He co-founded GrewIA, a startup focused on AI and mathematics education. **Research Interests**: Malliavin calculus, Stein’s method, functional inequalities, free probability, rough paths theory, inference for high-dimensional problems. He has authored/co-authored over 80 journal articles and two monographs, including the award-winning Normal Approximations with Malliavin Calculus (2012). **Awards**: 2015 FNR Award for Outstanding Scientific Publication, 2013 France Scopus Researcher Award, 2011 Fondation des Sciences Mathématiques de Paris Prize. **Advising & Teams**: Leads a research group including postdocs and PhD students. Former advisees include Simon Campese, Federico Dalmao, and Guangqu Zheng. His team explores topics like stochastic processes, limit theorems, and applications in AI. **Contact**: Office MNO E05 0515090, Maison du Nombre, University of Luxembourg. Phone: (+352) 46 66 44 6380. Email: ivan.nourdin@uni.lu.
Prof. Hartmut Weiß is a Professor in the Department of Mathematics at Christian-Albrechts-Universität zu Kiel, Germany. His research focuses on Differential Geometry, Geometric Analysis, and Low-Dimensional Topology. He has organized numerous workshops and conferences, including the Norddeutscher Tag der Differentialgeometrie series and specialized events on Higgs bundles and geometric structures. **Education**: PhD (2002): 'Local rigidity of 3-dimensional cone-manifolds' at University of Tübingen Habilitation (2010): 'Rigidity and flexibility of hyperbolic cone-3-manifolds and polyhedra' at LMU Munich Diploma (1999): 'Variation formulas for equivariant analytic torsion' at University of Göttingen **Research Interests**: Weiß explores geometric structures in low dimensions, specializing in hyperbolic cone-manifolds, Higgs bundles, and geometric flows. His work integrates differential geometry with topological methods, addressing deformation theory and geometric rigidity. Recent projects examine asymptotic geometry of Higgs bundles and moduli spaces. **Key Activities**: He co-organized over 15 events since 2015, including international workshops on geometric analysis and topology. Current teaching includes Differentialgeometrie II and a seminar on Seiberg-Witten theory. **Professional Network**: Active in the German mathematics community, collaborating with institutions like the MPI for Mathematics (Bonn) and Heidelberg University. His research group engages in international projects funded by DFG and EU initiatives.
