جست‌وجوی استاد و پژوهشگر

Jo Winfieldمشاهده پروفایل

پژوهشگر

• Equestrian Sports Coaching
• Risk Management
• Reflective Practice
• +۵ مورد دیگر

Dr Jo Winfield is a researcher in the Equine Department at Hartpury University, specializing in equestrian sports coaching, mentoring processes, and risk management. Their work bridges practical coaching with scientific analysis and reflective practice. Education: Professional Doctorate in Sport and Exercise, University of Gloucestershire MSc in Coaching Science, University of the West of England (UWE) Jo's research focuses on rider biomechanics, mentoring frameworks, and self-reflection in elite equestrian coaching. They have explored the application of science in performance training and developed models for risk management in coaching. Key research trends include comparative studies of elite and non-elite riders, mentoring methodologies, and interdisciplinary applications of physiology and behavioral science in equestrian contexts. Their work has been cited in Scopus and disseminated through peer-reviewed journals and conference proceedings. Professional Roles: Fellow, British Horse Society (since 2007) Assessor, British Horse Society (since 1996) In 2024, Jo participated in an invited talk on the 'Social License to Operate' in horse sports, addressing assumptions and future directions in the field.

Neil Rummingمشاهده پروفایل

مدرس

• Contemporary Art
• Modern Art
• Abstract Art
• +۳ مورد دیگر

Neil Rumming is a Lecturer in Fine Art Painting at Camberwell College of Arts, University of the Arts London. His practice reconfigures painting’s elemental values through physically intensive processes like stomping and jumping on printing plates, challenging established artistic conventions. His work merges modernist abstraction, Warholian pop aesthetics, and Arte Povera principles to explore painterly traditions within contemporary contexts. Exhibitions : Rumming’s work has been featured globally, including at HD Projects (New York), ICA London, Oktober (Düsseldorf), and Mizuma Gallery (Tokyo). Notable solo shows include Happy Valley (2020) and Command-X (2015), while group exhibitions include Uncertain Objects (2024) and Malevolent Eldritch Shrieking (2018). Research Interests : Rumming’s work interrogates the intersection of systematic art history and personal expression, using performative techniques to dissect painting’s formal components. His practice addresses themes like cultural exhaustion, materiality, and existential crises in contemporary society, as seen in his 2020 exhibition Happy Valley , which reflected on pandemic-era anxieties and societal fragmentation. Publications : Key writings include contributions to England: Talking of Art (2020), Sleek Magazine (2015), and Modern Painters (2003). His work is archived in collections such as the Henry Art Gallery (Seattle) and the Kunststiftung Baden-Wurttemberg (Stuttgart).

• Inverse Problems
• Partial Differential Equations
• Integral Equations
• +۵ مورد دیگر

Fioralba Cakoni is a Distinguished Professor of Mathematics and serves as the Graduate Vice-Chair in the Department of Mathematics at Rutgers, The State University of New Jersey. She is a tenured faculty member specializing in Applied Analysis, Data Science, Machine Learning, Artificial Intelligence, and Partial Differential Equations, with specific expertise in Inverse Problems, PDEs, Integral Equations, and Inverse Scattering Theory. Her research interests focus on advanced mathematical analysis of wave phenomena and inverse problems. Dr. Cakoni's work bridges theoretical mathematics with practical applications in imaging, nondestructive testing, and electromagnetic scattering. Her research has significant implications for understanding wave propagation, target identification, and material characterization through rigorous mathematical frameworks. Dr. Cakoni's publications demonstrate sustained leadership in inverse scattering theory, particularly in transmission eigenvalues, target signatures, and imaging techniques for complex media structures. Her recent work shows increasing integration of data science and machine learning approaches with traditional mathematical analysis, reflecting the evolving interdisciplinary nature of her field. The publication timeline extending through 2025 indicates ongoing research productivity and continued relevance in cutting-edge mathematical research. Her scholarly contributions include influential works on transmission eigenvalues and inverse scattering theory, with her publication "Inverse Scattering Theory and Transmission Eigenvalues" appearing in a second edition in 2023, indicating its significance as a reference in the field. As Graduate Vice-Chair, Dr. Cakoni plays an important administrative role in the Mathematics Department, overseeing graduate programs and mentoring students. Her office hours (Mondays and Fridays from 2:00-3:00pm in HLL-722 on Busch Campus) demonstrate her commitment to student engagement and academic support within the Rutgers academic community.

• Optimal Transport
• Entropic Distances between Nonnegative Measures
• Gradient Flows
• +۷ مورد دیگر

Giuseppe Savaré is a Full Professor at Bocconi University in Milan. His research focuses on Optimal Transport, Gradient Flows, and Analysis in Metric-Measure Spaces, with contributions to the theory of rate-independent systems and calculus in non-smooth geometries. He has published extensively on topics like Wasserstein spaces, entropy-transport distances, and dissipative evolutions. Affiliations: Bocconi University (Full Professor), Member of the Calculus of Variations and PDE research group. Education: Not explicitly stated in text, inferred via academic rank and publications. His work bridges functional analysis, PDEs, and geometric measure theory. Key themes include the interplay between optimal transport and geometric structures, as well as applications to evolutionary problems in materials science and mathematical physics. Recent contributions include relaxations of unbalanced transport problems and the study of variational principles in metric measure spaces. He has organized workshops on Optimal Transport and Geometric Analysis, and his research has been supported by institutions like the Simons Foundation. His articles explore both theoretical foundations (e.g., gradient flows in Wasserstein spaces) and applied aspects (e.g., crack propagation models).

Luis Alvarez Estebanمشاهده پروفایل

استاد

• Mathematical Finance
• Stochastic Control Theory
• Optimal Stopping
• +۴ مورد دیگر

Luis Alvarez Esteban is a Professor of Quantitative Methods in Management at the Turku School of Economics (University of Turku), specializing in mathematical finance and mathematical economics since 2001. He holds two PhDs: a PhD in Economics (1994) and a PhD in Applied Mathematics (1997), both from the University of Turku. Education: Began studies in Economics and Applied Mathematics at University of Turku (1987–1988) Completed first PhD in Economics at the Department of Economics (1994) Obtained second PhD in Applied Mathematics at the Department of Mathematics (1997) Research Interests: Focuses on stochastic control theory, optimal stopping, diffusion processes, and real options, with applications to mathematical finance and economics. His work integrates theoretical stochastic analysis with practical financial modeling, particularly in optimal decision-making under uncertainty. Recent research explores stopping games, Poissonian stopping problems, and sustainable resource harvesting models. Articles Trends: Publications span stochastic control applications in finance, environmental economics, and operations research. Recent work emphasizes multidimensional problems, regime switches, and Knightian uncertainty. Earlier contributions include optimal capital accumulation models and harvesting strategies under stochastic environments. Professional Links: LinkedIn: Profile Google Scholar: Publications ORCID: ID

Johannes Wisselمشاهده پروفایل

استاد

• Financial Mathematics
• Stochastic Modeling
• Debt Markets
• +۲ مورد دیگر

Johannes Wissel is Professor of Practice at Cornell University's School of Operations Research and Information Engineering. His research spans financial mathematics, inventory hedging, and game-theoretic approaches to debt markets. Recent work examines dynamic debt issuance under jump processes and leveraging strategies.

Maxim Prigozhinمشاهده پروفایل

استادیار

• Biophysics
• Molecular Biology
• Single-Molecule Analysis
• +۵ مورد دیگر

Maxim Prigozhin is an Assistant Professor at Harvard University, holding dual appointments in the Department of Molecular and Cellular Biology and the Department of Applied Physics. His research focuses on single-cell and single-molecule biophysics, particularly studying transmembrane signaling via G-protein-coupled receptors and developing advanced microscopy techniques like time-resolved cryo-vitrification. The Prigozhin lab integrates experimental and computational approaches, including stochastic modeling and statistical analysis, to explore protein folding dynamics and biophysical interactions. Located in Harvard's SEAS and MCB departments, the lab emphasizes cross-disciplinary work at the interface of nanotechnology, cell biology, and biophysics. Recent advancements include cathodoluminescent nanoprobes for electron microscopy and pressure-jump simulations of protein dehydration-folding dynamics. Their methodologies bridge molecular-level insights with macroscopic biological processes. Advising and grants: While specific grant details are not provided, the lab's 2019 establishment and student fellowship awards highlight active research funding and mentorship in biophysics and applied physics. The lab's Values Statement underscores ethical and collaborative scientific practices. Key technical innovations include gold nanorod-biology interfaces and PEGylation strategies for enhancing protein stability. These efforts aim to advance both fundamental biophysical understanding and translational applications in microscopy and drug delivery.

Douglas Martin Boyerمشاهده پروفایل

دانشیار

• Paleontology
• Primate Evolution
• Morphometrics
• +۲ مورد دیگر

Dr. Douglas Martin Boyer is Associate Professor of Evolutionary Anthropology at Duke University, specializing in primate evolution, paleontology, and morphological analysis. His research investigates the environmental and ecological contexts of primate origins through fossil discovery and advanced 3D morphometric techniques. Fieldwork in North American Paleogene deposits contributes to understanding early primate morphological and ecological evolution. With a PhD from Stony Brook University (2009), his methodological innovations include developing new approaches for 3D shape analysis in collaboration with mathematician Ingrid Daubechies. He created and manages MorphoSource, an open-access repository for 3D biological specimens that has transformed comparative morphology research. Funded projects include the openVertebrate (oVert) Thematic Collections Network and studies of locomotor evolution in primates and their relatives. Publications demonstrate expertise in dental functional morphology, locomotion biomechanics, and digital paleontology. Recent work analyzes jumping performance in primates and their analogues, dietary reconstruction from dental topography, and statistical methods for 3D shape comparison. His research program integrates paleontological fieldwork with computational methods to address fundamental questions in primate evolution. Professional recognition includes the Northeastern Association of Graduate Schools Doctoral Dissertation Award (2010) and Stony Brook University Distinguished Doctoral Dissertation Award (2009). Teaching covers human anatomy, statistical methods in evolutionary biology, and research independent studies. Outreach includes developing educational resources from 3D fossil collections.

Zachary Sunbergمشاهده پروفایل

استادیار

• Aerospace autonomy
• Partially observable Markov decision processes (POMDPs)
• Game theory
• +۵ مورد دیگر

Zachary Sunberg is an Assistant Professor in the Ann and H.J. Smead Aerospace Engineering Sciences Department at the University of Colorado Boulder. He is affiliated with the Research and Engineering Center for Unmanned Vehicles (RECUV) and leads the Autonomous Decision and Control Lab (ADCL). His research focuses on artificial intelligence for autonomous systems, particularly in aerospace autonomy, decision-making under uncertainty (via POMDPs), and human-AI interaction. Sunberg holds a PhD from Stanford University (2018), an MS and BS from Texas A&M University (2013, 2011). His work spans algorithm development for autonomous vehicles, including safe and efficient driving, rotorcraft control, and game-theoretic planning. Notable contributions include the POMCP and POMCPOW algorithms for continuous POMDPs, and open-source frameworks like POMDPs.jl. He has received a NSF CAREER Award (2024) and a NSF Graduate Fellowship (2012). Academic roles include mentoring the AI4ALL program, teaching courses on decision-making under uncertainty, and advising projects at the intersection of robotics and AI. His lab collaborates on applications ranging from weather observation to human-centered autonomy in unmanned systems.

• Integrable Probability
• Markov Chain Mixing
• Symmetric Functions
• +۳ مورد دیگر

Jimmy He is an Assistant Professor in the Department of Mathematics at The Ohio State University (OSU). His research is supported by an NSF award (DMS-2451487). Prior to OSU, he was a CLE Moore Instructor at MIT, earned his PhD in Mathematics from Stanford University under Persi Diaconis, and studied Pure Mathematics and Statistics at the University of Waterloo. Education: PhD in Mathematics, Stanford University, 2021 Studies in Pure Mathematics and Statistics, University of Waterloo His research focuses on probability and combinatorics, with an emphasis on integrable probability, Markov chain mixing, symmetric functions, and discrete probability. He explores algebraic methods in these areas, particularly in the context of stochastic processes and combinatorial structures. Scientific Awards: NSF Award DMS-2451487 Advising and Grants: His research is supported by the NSF grant mentioned above. No specific advising roles or additional grants are detailed here. No specific labs or collaborative teams are listed in the provided information.

Izaak Neriمشاهده پروفایل

مدرس ارشد

• Statistical Mechanics
• Biological Physics
• Non-Equilibrium Thermodynamics
• +۷ مورد دیگر

Dr. Izaak Neri is a Senior Lecturer in Disordered Systems at the Department of Mathematics, King's College London, within the Faculty of Natural, Mathematical & Engineering Sciences. He obtained his PhD in Theoretical Physics from KU Leuven (2010) and held postdoctoral positions at the University of Montpellier, and the Max Planck Institutes for Molecular Cell Biology and Genetics and Physics of Complex Systems. His research focuses on statistical physics, mathematical physics, and biological physics, particularly non-equilibrium thermodynamics, sparse non-Hermitian random matrices, and network dynamics. He explores phase separation in biological systems, spin glass theory, and ecosystem stability using tools from statistical mechanics and stochastic processes. Education: PhD in Theoretical Physics (KU Leuven, 2010), MSc in Physics (Ghent University, 2005) Awards: APS Outstanding Referee (2020), Irwin Oppenheim Award (2024) Key Research Themes: Complex networks, random matrices, biological physics, nonequilibrium systems His work bridges theoretical frameworks and applications, such as modeling cytoskeletal transport and analyzing entropy production in Markov processes. He contributes to understanding how network structure influences dynamical systems and develops methods for studying large sparse systems. Current projects include phase separation in multicomponent biological mixtures and stability analysis of predator-prey networks.

• Population Genetics
• Ecology
• Theoretical Population Genetics
• +۴ مورد دیگر

Jesse Taylor is an Associate Professor at Arizona State University (ASU), affiliated with the School of Life Sciences and the School of Mathematical and Statistical Sciences. He is also part of the Biodesign Center for Mechanisms of Evolution and the Mechanisms of Evolution Researchers Team. His research focuses on evolutionary biology, population genetics, and the ecology of soil and myrmecophilous mites in desert ecosystems. Taylor integrates stochastic modeling, statistical analysis, and genetic data to study evolutionary processes in complex environments. Education: Ph.D. in Ecology and Evolutionary Biology from the University of Arizona (2003). Research Interests: Natural history of soil mites, theoretical population genetics (coalescent theory), and the evolution of antigen gene repertoires in parasites like malaria and African sleeping sickness. His lab explores biodiversity and evolutionary dynamics of soil mites in the Sonoran Desert and Madrean sky islands, while also analyzing pseudogene formation in parasite antigens using mathematical models. Taylor has published extensively on topics ranging from phylogeography to epidemiological modeling, with a focus on infectious diseases and genetic diversity. He serves as a referee for journals like PLoS Pathogens and Theoretical Population Biology , and contributes to the ASU undergraduate curriculum in evolutionary biology and mathematics.

Howard Bondمشاهده پروفایل

استاد مدعو

• Astrophysics
• Stellar Evolution
• Extragalactic Distance Scale
• +۵ مورد دیگر

Howard Bond is an Adjunct Professor of Practice in the Department of Astronomy & Astrophysics at Pennsylvania State University, and an Astronomer Emeritus at the Space Telescope Science Institute (STScI). His career spans over five decades, with key roles including Professor at Louisiana State University (1969-1984), tenured Astronomer at STScI (1984-2008), and co-founder of the Hubble Heritage Program. He holds a B.S. in Physics (University of Illinois, 1964), and M.S. and Ph.D. in Astronomy (University of Michigan, 1965-1969). Education B.S. Physics, University of Illinois, 1964 M.S. Astronomy, University of Michigan, 1965 Ph.D. Astronomy, University of Michigan, 1969 Research Interests Bond's work focuses on stellar evolution, particularly post-asymptotic-giant-branch (post-AGB) stars and light echoes. He pioneered studies of luminous red transients like V838 Monocerotis and demonstrated the utility of post-AGB stars as extragalactic distance indicators. His research also encompasses planetary nebulae, white dwarfs, globular clusters, and variable star monitoring. Notable Contributions Bond co-discovered the optical counterpart to Gamma-Ray Burst 970508, confirming their cosmological origin. He led imaging campaigns with the Hubble Space Telescope, including the iconic Ring Nebula observation featured on U.S. postage stamps (2000). His editorship of the Publications of the Astronomical Society of the Pacific (1991-1997) and the Planets, Stars, and Stellar Systems series (2013) underscores his role in advancing astronomical communication. Awards & Recognition 2003 Klumpke-Roberts Award (ASP) for Hubble Heritage Program contributions 2007 American Astronomical Society Education Prize 2020 Fellow of the American Astronomical Society Grants & Observations Bond secured Hubble observing time in 31 out of 32 cycles (1990-2024) and all James Webb Space Telescope cycles (2021-2024). His work leverages facilities like STScI's WFC3 and ground-based telescopes (e.g., Cerro Tololo). Labs & Collaborations As STScI's HST Telescope Time Review Board Chair, he managed peer review processes. His collaborations include the SMARTS Consortium for variable star monitoring and the Heritage Program's public outreach efforts.

Rasmus Tangsgaard Varneskovمشاهده پروفایل

استاد

• Econometrics
• High-Dimensional Statistics
• Asset Pricing
• +۳ مورد دیگر

Rasmus Tangsgaard Varneskov is a Professor of Statistics and Financial Econometrics at the Department of Finance, Copenhagen Business School (CBS). He is also employed by Alphadyne Asset Management. His research focuses on econometrics, high-dimensional statistics, asset pricing, and financial economics, with a strong emphasis on time series analysis and financial econometrics methodologies. Before joining CBS, he was a postdoctoral researcher in Finance at Northwestern University's Kellogg School of Management. He holds affiliations with the Center for Big Data in Finance (BIGFI) and the Center for Statistics at CBS. His educational background includes advanced studies in statistics and econometrics, though specific degrees are not detailed in the provided text. Rasmus' research interests span advanced statistical methodologies for financial data, including volatility estimation, bootstrap techniques, predictive regressions, and structural change analysis. His work has been published in top journals such as Journal of Econometrics , Journal of Financial Economics , and Quantitative Economics . A key achievement is his 2023 Econometric Theory Multa Scripsit award for prolific and impactful contributions. His publications address topics like Laplace transforms of volatility, consistent inference in predictive regressions, and dynamic hedging strategies. While no formal advisees are listed, his industry collaborations (e.g., with Nordea and Alphadyne) suggest applied research engagement. He contributes to CBS's research initiatives through participation in interdisciplinary centers focused on big data and financial statistics.

• Stochastic Analysis
• Partial Differential Equations
• Stochastic Filtering
• +۷ مورد دیگر

Andrea Pascucci is Full Professor of Probability and Statistics at the University of Bologna, affiliated with the Department of Mathematics. His research focuses on stochastic analysis for diffusions and jump processes, partial differential equations, and applications in quantitative finance. He has authored 8 books and over 80 publications on Kolmogorov-Fokker-Plank equations, transition densities estimation, and financial mathematics. His research interests span stochastic partial differential equations, asymptotic analysis of multi-dimensional diffusion processes, free boundary problems, and volatility modeling in financial mathematics. He integrates mathematical rigor with practical applications in derivative pricing and risk management. Pascucci serves as Associate Editor for the Journal of Computational Finance and SeMA Journal. He directs the university's post-graduate programme in Mathematical Finance, developing advanced curricula that blend theoretical stochastics with computational finance techniques.