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Daniel LecoanetView profile

Assistant Professor

• Astrophysical Fluid Dynamics
• Geophysical Fluid Dynamics
• Stellar Convection
• +7 more

Dr. Daniel Lecoanet is an Assistant Professor of Engineering Sciences and Applied Mathematics at Northwestern University’s McCormick School of Engineering. His research focuses on astrophysical and geophysical fluid dynamics, with expertise in numerical simulations and the development of the Dedalus code. He holds a PhD in Physics from UC Berkeley and has held postdoctoral fellowships at Princeton University. Education: PhD in Physics, UC Berkeley (2016) Masters of Advanced Study in Applied Mathematics, University of Cambridge (2011) Bachelor of Science in Mathematics and Physics, University of Wisconsin-Madison (2010) Research Interests: Lecoanet investigates fluid dynamics in astrophysical and geophysical contexts, including convection in stars and planets, internal gravity waves, and magnetic dynamo processes. He leads development of the Dedalus spectral code, widely used for solving PDEs in complex geometries. Key topics include wave generation by convection, convective boundary mixing, and magnetohydrodynamic instabilities. Grants & Awards: NSF Astronomy and Astrophysics Grant ($402,908, 2024–2027) Simons Foundation Targeted Grant ($3.9M, 2024–2028) Sloan Research Fellowship (2024–2026) Hertz Foundation Fellowship (2011–2016) Advising & Mentorship: Lecoanet supervises PhD students (Emma Kaufman, Liam O'Connor, Benjamin Hyatt) and postdocs (Evan Anders, Kyle Augustson). He mentors summer students in the Geophysical Fluid Dynamics program and teaches courses on numerical methods and fluid dynamics. Labs & Collaborations: Collaborates with international teams on stellar magnetic field modeling, internal wave dynamics, and Dedalus software development. Active in CIERA (Center for Interdisciplinary Exploration and Research in Astrophysics) and the Fluid Mechanics of Planets and Stars research group.

Arie Hendrik HavelaarView profile

Professor

• Microbial Risk Assessment
• Epidemiology of Foodborne Diseases
• Public Health
• +3 more

Dr. Arie Hendrik Havelaar is a Professor at the University of Florida's Department of Animal Sciences and affiliated with the Institute for Risk Assessment Sciences at Utrecht University. His work focuses on microbial risk assessment and epidemiology of foodborne diseases, with a strong emphasis on low-resource settings. He has held roles at the Dutch National Institute for Public Health and the Environment and currently contributes to systems approaches linking food production and human health. His research spans food safety in Ethiopia, Burkina Faso, and Florida, addressing pathogens like Campylobacter, Salmonella, and norovirus surrogates. Dr. Havelaar's studies integrate quantitative methods, such as structured expert judgment for disease burden estimation and machine learning for environmental pathogen modeling. His work bridges public health, agriculture, and environmental science, often emphasizing One Health frameworks. Key projects include the CAGED study on Campylobacter colonization in Ethiopian infants, the Global Burden of Animal Diseases (GBADs) initiative, and interventions to improve produce safety in Ethiopia and Burkina Faso. His research outputs highlight pathways for reducing foodborne disease burdens through policy-relevant frameworks and evidence-based interventions. Collaborations span universities, governments, and NGOs, with a focus on global health equity and sustainable development. Despite extensive publications, no specific awards are listed in the provided texts.

Robert DeSerioView profile

Senior Lecturer

• Physics Education
• Experimental Physics
• Educational Technology
• +3 more

Robert DeSerio is a Senior Lecturer and Director of Undergraduate Laboratories in the Department of Physics at the University of Florida, holding a PhD from the University of Chicago (1981). His work focuses on educational innovation in physics, particularly through designing hands-on experimental apparatus for introductory and advanced physics laboratories, integrating computer interfaces, and creating student guides for equipment usage. His research interests emphasize experimental physics education , pedagogical techniques , and modernization of undergraduate labs . He has developed tools for laboratory experiments in nonlinear dynamics, computational data acquisition, and quantum mechanics, often leveraging cost-effective or accessible technologies like quartz tuning forks for superfluid studies. The University of Florida Introductory Physics Experiments series exemplifies his commitment to accessible, repeatable educational resources. DeSerio’s publications span chaos theory , data analysis , and atomic physics , with a recurring focus on bridging experimental design and pedagogy. Key works include studies on chaotic pendula, Savitsky-Golay filters, and quantum coherence in hydrogen states. His collaborations with institutions like the National Science Foundation highlight contributions to faculty training programs.

Akram BakkourView profile

Assistant Professor

• Cognitive Neuroscience
• Neuroeconomics
• Computational Psychiatry
• +4 more

Akram Bakkour is an Assistant Professor in the Department of Psychology at The University of Chicago. He holds a BS in Neuroscience from Brown University, a PhD in Neuroscience from The University of Texas at Austin, and completed postdoctoral training at Columbia University. His research focuses on the intersection of relational memory and decision making, employing methods like functional brain imaging, eyetracking, computational modeling, and neuropsychological studies. Key research areas include cognitive and neural mechanisms underlying how memory informs future decisions, with particular attention to value-based decisions and behavioral change. His lab investigates these processes through interdisciplinary approaches, including collaborations with clinical populations such as individuals with eating disorders. Current projects are supported by an NIMH grant exploring subjective value construction in normative and maladaptive decision making. Recent activities include hosting lab members at the Society for Neuroeconomics (SNE) 2023 Conference and expanding the team through postdoctoral and graduate student recruitment. The Bakkour Memory and Decision Lab emphasizes translational research bridging basic cognitive neuroscience with clinical applications.

Elizabeth JerisonView profile

Assistant Professor

• Immunology
• Statistical Physics
• Dynamical Systems
• +9 more

Elizabeth Jerison is an Assistant Professor in the Department of Physics at the University of Chicago , affiliated with the James Franck Institute . Her research lab investigates the dynamics and phases of immunity , focusing on nonlinear responses and collective behaviors in the immune system. Using the zebrafish model system, her work combines statistical physics , dynamical systems theory , and optical imaging to study how spatiotemporal control of inflammation is achieved, particularly in disease contexts like cancer and autoimmune disorders. The lab emphasizes quantitative approaches to bridge molecular, cellular, and organismal scales. Her research interests span immunology , biophysics , and evolutionary biology , with a focus on inflammation dynamics, tumor-immune interactions, and genetic pleiotropy in microbial systems. She leads a multidisciplinary team leveraging advanced microscopy and genomic tools to uncover mathematical principles underlying immune system behavior. Recent work includes studies on spatially structured inflammatory responses, nonlinear dynamics analysis, and evolutionary dynamics in yeast populations. The lab, established in 2023, actively seeks graduate students and postdocs interested in interdisciplinary biological physics. Scientific Awards: None explicitly listed in available texts. Advising & Grants: While no specific grants or advisees are listed, the lab focuses on training students in interdisciplinary research at the interface of physics and immunology. Labs/Teams: The Jerison Lab is part of the Department of Physics and James Franck Institute , emphasizing collaborative research across the Physical Sciences Division and biological departments.

• Active Matter
• Topological Insulators
• Nonlinear Dynamics
• +3 more

Vincenzo Vitelli is Professor in the Department of Physics and James Franck Institute at the University of Chicago. His research spans complex systems at the intersection of physics, engineering, and applied mathematics, including biophysics, active matter, machine learning, robotics, metamaterials, topological insulators, hydrodynamics, and soft materials. The Vitelli Group investigates phenomena arising from nonlinearities, disorder, and far-from-equilibrium dynamics using analytical and numerical approaches. Current projects explore nonlinear x-ray interactions, odd elastic properties, machine learning for physical systems, and topological mechanics. The group maintains active collaborations with multiple experimental teams. Vitelli has received several honors including being named a Fellow of the American Physical Society (2018) and Kavli Frontiers of Science Fellow (2015). He currently advises 8 PhD students and has mentored over 15 doctoral graduates. The group has received funding from multiple sources including the National Science Foundation and Department of Energy.

Harry AsadaView profile

Professor

• Robotics
• Wearable Robotics
• Bioengineering
• +7 more

Professor Harry Asada is the Ford Professor of Engineering at the Massachusetts Institute of Technology (MIT) and Director of the d'Arbeloff Laboratory for Information Systems and Technology. His research spans robotics, wearable systems, bioengineering, and mechatronics, focusing on human-robot augmentation and modeling cellular dynamics. B.Sc., M.Sc., Ph.D. from Kyoto University (1973–1979) Key research areas include: Wearable robotic limbs for enhanced human mobility Smart actuators using piezoelectric and shape memory alloys Biomedical sensors for cardiovascular monitoring Microfluidic systems for angiogenesis studies Control systems for autonomous underwater and aircraft assembly robots Recent publications highlight advancements in wearable robotics, stochastic actuator control, and bioengineered tissue modeling. Awards include the Ford Professorship, ASME Fellow, IEEE Pioneer in Robotics and Automation Award (2023), and multiple best paper recognitions from IEEE, ASME, and SICE. 1997–2013: 8 U.S. patents for robotic actuators, sensors, and HVAC systems 2010–2011: Leadership roles in MIT's Mechanical Engineering Department committees 2000–2015: Taught core courses like 2.12 (Introduction to Robotics), 2.160 (Identification and Learning), and 2.04A (Systems and Controls)

Lynette A JonesView profile

Academic

• Haptic interfaces
• Thermal displays
• Skin mechanics
• +7 more

Lynette A Jones is a Senior Research Scientist in the Department of Mechanical Engineering at the Massachusetts Institute of Technology (MIT). She has been with MIT since 1994 and leads the Cutaneous Sensory Lab, which develops tactile, haptic, and thermal displays for diverse applications. Prior to MIT, she was a tenured Associate Professor in the Faculty of Medicine at McGill University. Education: B.A. in Psychology, University of Auckland, 1976 M.A. in Psychology, University of Auckland, 1978 Ph.D. in Psychology, McGill University, 1983 Research Interests: Dr. Jones specializes in haptic and tactile interface design, thermal display development, and skin mechanics. Her work bridges human-machine interaction, focusing on cutaneous communication systems and vibrotactile pattern recognition. She employs psychophysics, biomechanical modeling, and multisensory integration to advance wearable haptic technology. Key Article Trends: Her recent publications emphasize thermal and vibrotactile actuation methods, multisensory display integration, and MR fluid-based haptic devices. Themes include tactile perception, sensorimotor control, skin biomechanics, and applications in wearable technology and biomedical engineering. Scientific Awards: Meritorious Service Award, IEEE Transactions on Haptics, 2009 Fellow of the IEEE, 2018 IEEE Technical Committee on Haptics Distinguished Service Award, 2021 Professional Contributions: Dr. Jones has served as Editor-in-Chief of IEEE Transactions on Haptics (2014-2019), Chair of the IEEE Transactions on Haptics Management Committee (2023-present), and in multiple editorial and national committee roles. She is integral to MIT's Graduate Admissions and Postdoctoral Fellowship committees. Laboratory: The Cutaneous Sensory Lab at MIT employs a systems-level approach to haptic display development, including actuator characterization, skin mechanics analysis, and psychophysical user studies. The lab's work has been adopted in academic and industrial research on robotic swarms and soldier safety systems.

Ryan LoxtonView profile

Professor

• Optimisation
• Optimal Control
• Data Science
• +3 more

Professor Ryan Loxton is the Director of the Centre for Optimisation and Decision Science at Curtin University, leading research in optimisation, optimal control, and data science. His work focuses on applying advanced mathematics to complex industrial processes, collaborating with companies like Woodside Energy and BHP. He holds a PhD and BSc Honours in Applied Mathematics from Curtin University. His research interests include optimisation algorithms, maintenance scheduling, and resource management, supported by grants from the Australian Research Council and industry partners. Notable awards include the 2020 Christopher Heyde Medal and the 2014 West Australian Young Scientist of the Year Award. Professor Loxton has pioneered software tools like the Quantum platform for maintenance optimisation, which won the 2017 South32 Designing for Excellence Innovation Award. His publications span optimisation techniques for mining, energy, and logistics, with a focus on cutting-edge methods like Benders decomposition and control parametrisation. Current projects include the ARC Industrial Training Centre for Transforming Maintenance through Data Science, addressing industry challenges in the resources sector.

Colin DennistonView profile

Professor

• Soft Condensed Matter Physics
• Complex Fluids
• Granular Matter
• +7 more

Colin Denniston is a Professor in the Department of Physics & Astronomy at Western University. His research focuses on multiscale modeling of soft matter systems, including complex fluids, liquid crystals, colloidal suspensions, and polymer dynamics. He specializes in developing novel numerical methods for simulating micro/nano-fluidic systems and studying material properties during curing processes. Key research areas include: Molecular dynamics simulations of polymerization reactions Hydrodynamic interactions in confined flows Photonic band gap engineering using colloidal crystals Interfacial dynamics in coupled lattice-Boltzmann and molecular dynamics frameworks His work bridges theoretical physics, computational modeling, and materials engineering. Notable contributions include advancements in LAMMPS integration for fluid simulations and studies on defect-bonded colloidal structures in cholesteric phases. The Denniston Group actively explores applications in advanced composites and nanotechnology. Professional activities include leading the Denniston Group at Western University and collaborating on projects involving fiber-reinforced polymers for aerospace/automotive industries. He accepts graduate student applications year-round.

Andrew BelmonteView profile

Professor

• Game Theory
• Mathematical Biology
• Fluid Dynamics
• +3 more

Andrew Belmonte is a Professor of Mathematics and Materials Science and Engineering at The Pennsylvania State University, and Director of the Center for Mathematical Biology. He is affiliated with the Eberly College of Science and holds a Ph.D. from Princeton University (1994). His research focuses on evolutionary game theory, mathematical biology, fluid dynamics, and turbulence. Belmonte explores applications such as game-theoretic models of fairness, population dynamics, and interdisciplinary studies of interfacial phenomena in fluids. His work bridges mathematics, biology, and engineering, with contributions to understanding collective behavior, strategy evolution, and complex system dynamics. Key areas of research include: Evolutionary games and their applications in cancer and social systems Fluid dynamics of reactive systems and interfacial instabilities Thermodynamic strategy evolution and spatial pattern formation Belmonte's recent publications emphasize game-theoretic frameworks for fairness, public goods dilemmas, and stochastic population models. His work on fluid instabilities and surfactant systems addresses practical challenges in material science and engineering. He collaborates with the Huck Institutes of the Life Sciences and directs the Center for Mathematical Biology, fostering interdisciplinary research. Belmonte has advised numerous students and contributed to grants focusing on reactive flows, colloids, and experimental hydrodynamics. His research integrates theoretical modeling, numerical simulations, and experimental observations, often highlighting the interplay between microscopic processes and macroscopic phenomena.

Xiantao LiView profile

Professor

• Quantum Computing
• Computational Physics
• Molecular Dynamics
• +5 more

Xiantao Li is a Professor in the Department of Mathematics at The Pennsylvania State University, affiliated with the Eberly College of Science. He holds a B.S. from Peking University (1998) and a Ph.D. from the University of Wisconsin, Madison (2002). His research focuses on quantum algorithms, computational physics, and multiscale modeling, with particular emphasis on quantum dynamics, molecular simulations, and numerical methods for complex systems. He teaches advanced courses such as Math 551 and is actively involved in developing novel computational frameworks for quantum systems and material science. His research interests span quantum computing applications, such as quantum speedup for classical simulations and noise mitigation techniques, alongside classical methods like molecular dynamics and reduced-order modeling. He has contributed to the development of structure-preserving algorithms for Hamiltonian systems and has explored hybrid quantum-classical models for biological and chemical systems. His work bridges applied mathematics, theoretical physics, and computational engineering. Dr. Li’s recent publications emphasize quantum algorithms for nonlinear dynamics, error analysis in quantum simulations, and efficient control of open quantum systems. Though no specific awards are listed, his contributions reflect significant innovation in computational methodologies. His academic activities include advising on advanced research topics and collaborating on interdisciplinary projects, though specific student names or grant details are not provided in the text.

Matthew T HarrisonView profile

Associate Professor

• Statistics
• Neuroscience
• Information theory
• +3 more

Matthew T Harrison is an Associate Professor in the Division of Applied Mathematics at Brown University. He is affiliated with the Carney Institute for Brain Sciences, Data Science Institute, Center for Computational Brain Science, and Center for Statistical Sciences. Education : PhD (2005) and ScM (2000) from Brown University, BA (1998) from University of Virginia. Research interests : His work spans Statistics (conditional inference, multiple hypothesis testing), Neuroscience (multi-neuronal spiking data, exploratory analysis), Information theory (rate distortion theory, model selection), and Computer vision (structured models, perceptual organization). Collaborations extend to brain-computer interfaces and ecological modeling. Publication trends : Recent articles focus on Bayesian filtering, statistical neuroscience methods, mixture models, and computational approaches to neural data. Themes include handling high-dimensional data, robust inference, and applications to biological and machine intelligence. Scientific awards : Phi Beta Kappa (1997) Jefferson Scholarship (1994-1998) Howard Hughes Medical Institute Predoctoral Fellowship (1998) National Defense Science and Engineering Graduate Fellowship (1998-2001) IBM Watson Research Award (2014) Philip J. Bray Teaching Award (2014) Advising : Mentors current PhD student Sicheng Liu and has advised former students including Jeffrey Miller (Harvard), Dahlia Nadkarni (Akamai), and Mona Khoshnevis. Collaborates with institutions like Carney Institute and Data Science Institute.

Chen LiuView profile

Assistant Professor

• Numerical Analysis
• Computational Mathematics
• Fluid Dynamics
• +2 more

Chen Liu is an Assistant Professor of Mathematics in the Department of Mathematical Sciences at the University of Arkansas's Fulbright College of Arts and Sciences. He holds a PhD in Computational and Applied Mathematics from Rice University. Research Interests: Dr. Liu's research focuses on developing advanced numerical methods for partial differential equations, particularly discontinuous Galerkin schemes for fluid dynamics applications. His work emphasizes structure-preserving algorithms for hyperbolic conservation laws, Navier-Stokes equations, and multiphase flow problems. Key research areas include bound-preserving limiters, high-order accuracy schemes, and efficient solvers for complex physical systems. Publication Trends: His recent publications demonstrate a consistent focus on improving numerical stability and accuracy for challenging fluid dynamics problems. Common themes include positivity-preserving schemes, multiphysics coupling (particularly Cahn-Hilliard-Navier-Stokes systems), and applications to porous media flow. Recent work shows increased emphasis on optimization-based approaches and implicit-explicit time integration techniques. Awards: No scientific awards mentioned. Academic Activities: No information available regarding students advised, research grants, or laboratory facilities.

• Geostatistics
• Hydrogeology
• Environmental Sustainability
• +3 more

Varouchakis Emmanouil is an Assistant Professor at the Technical University of Crete (TUC), affiliated with the School of Mineral Resources Engineering (MRE). His research focuses on geostatistical modeling, hydrogeology, and sustainable resource management. He actively contributes to projects like the IMMERSE initiative, which develops virtual excursions for critical raw materials education in the clean energy transition. His work integrates advanced statistical methods with environmental systems analysis. Key areas of expertise include groundwater dynamics, stochastic simulations for mining emissions reduction, and renewable energy potential assessment in the Mediterranean. He has developed decision support frameworks for water allocation optimization and circular economy strategies in mining waste management. His research often combines geostatistics with machine learning and remote sensing data to enhance environmental monitoring and predictive modeling. Emmanouil collaborates on EU-funded initiatives such as the OurMED project for sustainable water storage and the InTheMED project analyzing groundwater dynamics. He has authored numerous papers on topics like space-time correlations in mineral dissolution, spatial variability of precipitation, and probabilistic forecasting of extreme climate events. His academic contributions span both theoretical advancements (e.g., covariance models in multivariate geostatistics) and applied solutions (e.g., wave energy assessments in the Aegean Sea). He maintains an active role in advancing methodologies for climate resilience in energy infrastructure and groundwater resource management systems.