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Yonathan ShapirView profile

Professor

• Theoretical Condensed-Matter Physics
• Statistical Mechanics
• Disordered Systems
• +6 more

Professor Yonathan Shapir is a full Professor in the Department of Physics at the University of Michigan, with a joint appointment in Chemical Engineering. Since his arrival in 1985, he has advanced from Assistant Professor to full Professor, pursuing theoretical condensed-matter physics and statistical mechanics. Education: B.Sc. in Physics, Tel-Aviv University (1971) Ph.D. in Physics, Tel-Aviv University (1981) Research Interests: Professor Shapir’s work centers on understanding complex disordered systems through statistical mechanics. His investigations encompass critical phenomena in spin-glasses and random-field systems, classical and quantum transport in dirty metals leading to the metal-insulator transition, polymer statistics, fractal properties of percolation clusters, and kinetic models of surface growth and aggregation. These themes are unified by a deep interest in scaling laws, universality, and the emergent geometry of random media. Publication Trends: Between 2001 and 2010, his articles reveal a concentrated effort on diffusion in dynamically disordered environments, scaling behavior of growing surfaces, and the morphology of organic thin films such as pentacene. Earlier work (1996–2000) explored critical dynamics of dendrimers, surface growth on disordered substrates, and transitions in crystalline roughness. The breadth spans from fundamental statistical-physics questions to applications in materials science and organic electronics. Scientific Awards: Fulbright Award (1981) Bourse Joliot-Curie (1982) Visiting Compton Fellowship at the Technion (1989–1990) Advising & Grants: No explicit lists of students or current funding are provided in the material; however, his extensive publication record with numerous co-authors suggests active mentoring and collaboration. Future directions likely continue along the interface of statistical mechanics and nanoscale materials. Labs & Teams: While no specific laboratory names are given, Professor Shapir’s joint appointment implies active participation in both the Physics Department and the Chemical Engineering program, fostering interdisciplinary teams working on materials growth, transport phenomena, and computational statistical physics.

Anne-Virginie SALSACView profile

Researcher

• Bioengineering
• Biomechanics
• Microfluidics
• +5 more

Anne-Virginie SALSAC is a leading researcher in bioengineering and biomechanics at the University of Technology of Compiègne (UTC), France. She heads the Biomechanics and Bioengineering Laboratory (BMBI, UMR CNRS 7338) and has held an ERC Consolidator Grant (2017) from the European Research Council for her work on multiphysics modeling of microcapsules. Her research focuses on numerical simulation, microfluidics, and bioartificial capsule design for biomedical applications, including hemodynamics in vascular systems and minimally invasive therapies. She has pioneered techniques for microcapsule characterization and sorting, with applications in drug delivery and tissue engineering. SALSAC has collaborated internationally with institutions like Sorbonne Université, University College London, and Queen Mary University of London. Education: Advanced training in bioengineering, with postdoctoral experience in fluid mechanics and biomedical systems. Teaching: Leads graduate courses in mechanical properties of biological materials, microfluidics, and vascular flow modeling at UTC. Previously taught at UC San Diego and University College London. Awards: ERC Consolidator Grant (2017), European scholarship for excellence (2018). Her research integrates experimental and computational methods, emphasizing real-time prediction of capsule deformation and fluid-structure interactions. Key projects include the ERC-funded MultiphysMicroCaps initiative, which explores multiscale modeling of microcapsules under physiological flows. She has developed novel microfluidic tools for capsule sorting and mechanical property analysis, published in top journals like Physical Review E and Journal of Fluids and Structures . SALSAC advocates for scientific mediation, organizing international symposia such as the DynaCaps conference, and has engaged in public outreach via television and media features. Her work bridges fundamental research and clinical applications, with patents on microcapsule fabrication and embolization techniques.

• Mathematical Biology
• Biophysics
• Stochastic Processes
• +3 more

Professor Kenneth A Lindsay is an Honorary Senior Research Fellow at the University of Glasgow's School of Mathematics & Statistics. His work bridges mathematical biology, biophysics, and financial econometrics, with a focus on stochastic processes and computational modeling. Key contributions include advancements in compartmental modeling of neurons, Fokker-Planck equation solutions for stochastic differential equations, and applications in energy market forecasting. He has authored/co-authored over 25 peer-reviewed articles and edited the influential 2005 book Modeling in the Neurosciences . Collaborations with researchers like David Brillinger, Adrian Hurn, and Jonathan Rosenberg highlight interdisciplinary expertise. His research addresses topics ranging from dendritic branching patterns to econometric optimization techniques. Publications span journals such as Biological Cybernetics , Journal of Financial Econometrics , and European Journal of Heart Failure . Notable work includes modeling electricity price spikes and analyzing magnetic field effects on nerve excitability. Lindsay's edited volumes and book chapters further underscore his role in advancing neuroscience and quantitative finance methodologies. His academic contributions reflect a commitment to mathematical rigor applied to real-world systems, with applications in biomedical engineering, energy economics, and computational neuroscience.

• Numerical Methods
• Partial Differential Equations
• Computational Mathematics
• +3 more

Francisco Manuel Bernal Martínez is an Associate Professor in the Department of Mathematics at Carlos III University of Madrid. His research focuses on numerical methods, partial differential equations, and computational mathematics, with applications in industrial engineering and materials science. He leads projects such as 'Financiación adicional 5º año (2022)' and collaborates on initiatives like 'Clustering Automático de Comportamientos de Invertebrados en Libertad mediante Imagen 3D.' His work emphasizes domain decomposition algorithms, radial basis functions, and stochastic control problems. He has advised at least one PhD thesis and holds grants from regional and national funding bodies. Key research interests include meshless methods, probabilistic domain decomposition, and uncertainty quantification in energy systems. Recent publications highlight advancements in hybrid algorithms for large-scale PDEs and volatility modeling. Bernal Martínez actively participates in academic networks and has presented at international conferences on computational methods and industrial mathematics.

Daniel TwardView profile

Assistant Professor

• Neuroimaging
• Computational Neuroscience
• Machine Learning
• +4 more

Dr. Daniel Tward is an Assistant Professor at the University of California, Los Angeles (UCLA), holding joint appointments in the Department of Neurology and the Department of Computational Medicine. He earned his Ph.D. in Biomedical Engineering from Johns Hopkins University and completed postdoctoral training at the Kavli Neuroscience Discovery Institute. His research integrates neuroimaging, machine learning, and differential geometry to analyze brain structure changes in neurodegenerative diseases like Alzheimer's, with a focus on bridging molecular pathology and clinical imaging. Research Interests: Dr. Tward's work addresses challenges in neuroimaging data complexity, developing computational tools to map brain anatomy across scales (from centimeters to microns). Key areas include neurodegeneration in the medial temporal lobe, multi-modal image registration, and spatial transcriptomics. His lab emphasizes high-dimensional statistics and geometry-driven analysis to improve diagnostic accuracy and clinical trial design. Grants & Projects: Secured NIH funding for: A 3D multimodal human brain atlas integrating MRI and histology. CloudReg—a distributed framework for massive neuroimage registration. Contributions to the BRAIN Initiative Cell Census Network (BICCN) for mouse/rat brain atlases. Students & Training: Mentors undergraduate researchers via the BIG Summer program, with projects on neural networks, spatial transcriptomics, and MRI analysis. No PhD/Master's advisees listed.

David ChoppView profile

Professor

• Numerical Methods
• Scientific Computing
• Interface Motion
• +4 more

David Chopp is a Professor of Engineering Sciences and Applied Mathematics at Northwestern University's McCormick School of Engineering. His research focuses on numerical methods, scientific computing, and interface motion, with applications in bacterial biofilms, neurophysiology, and materials science. He holds the Charles Deering McCormick Professor of Teaching Excellence award. Chopp earned his Ph.D. in Mathematics from UC Berkeley and a B.S. in Mathematics and Applied Mathematics from the University of Washington. Research interests include level set methods, computational neuroscience, fracture mechanics, and biofilm modeling. Notable contributions span phase field modeling, microbial fuel cell simulations, and adaptive algorithms for neural systems. His work bridges computational tools with real-world applications in engineering and biology. Key Projects: Phase field modeling with large driving forces (2023), biofilm potassium signaling (2021), non-planar crack tracking (2016). Awards: Charles Deering McCormick Professor of Teaching Excellence. Chopp advises students in biofilm dynamics, computational materials, and fracture mechanics. His lab develops algorithms for interface tracking and neural simulations, collaborating on biofilm bioclogging and material failure analysis. Active in teaching and publishing, he authored textbooks on high-performance computing and contributed to over 60 peer-reviewed articles.

Daniel LacksView profile

Professor

• Electrostatics
• Material Science
• Environmental Engineering
• +3 more

Daniel Lacks is the Vice Provost for Interdisciplinary and International Initiatives and the C. Benson Branch Professor of Chemical Engineering at Case Western Reserve University’s Case School of Engineering. He leads university-wide collaborations and oversees institutions like the Inamori Center for Ethics and Excellence and the Social Justice Institute. Previously, he served as Associate Dean for Academics and Chair of the Department of Chemical and Biomolecular Engineering. Lacks holds a B.S. in Chemical Engineering from Cornell University and a Ph.D. in Chemistry from Harvard University. His research focuses on material properties, electrostatics, and environmental applications. He has pioneered international academic programs, including the first U.S. academic program in Myanmar, and developed NSF-funded research programs in Africa and Asia. His scientific awards include the Service to Society Award from the American Institute of Chemical Engineers. He serves on the Board of Directors at STEMpower, an NGO expanding STEM education in sub-Saharan Africa, and leads the Gelfand Global STEMpower Initiative. He has authored numerous studies on electrostatic charging, particle adhesion, and plasma-based technologies. Lacks has advised over a dozen institutions globally, including roles at Yangon Technological University (Myanmar) and the University of Botswana. His work emphasizes interdisciplinary education, conflict-affected regions, and sustainable innovation.

Hiroshi NishiyamaView profile

Associate Professor

• Electrophys
• Optogenetics & Chemogenetics
• Optical Imaging
• +2 more

Hiroshi Nishiyama is an Associate Professor in the Department of Neuroscience at the University of Texas at Austin. His research focuses on synaptic plasticity and circuit reorganization in the mammalian cerebellum, with implications for learning, memory, and brain injury recovery. Education: B.S., Kyoto University (1992–1996) M.S., Kyoto University (1996–1998) Ph.D., Kyoto University & RIKEN Brain Science Institute (1998–2002) Postdoctoral Research, Johns Hopkins University (2002–2008) His work explores how cerebellar circuits are refined during development, reorganized in adulthood through learning, and rewired after injury. Techniques include electrophysiology , optogenetics , and long-term in vivo imaging of synaptic dynamics. Recent publications highlight mechanisms of Purkinje cell ablation , lesion-induced axonal sprouting , and dendritic translocation in synaptic competition. These studies span developmental neuroscience , neurotrauma , and neurodegenerative models . The Nishiyama Lab investigates cerebellar circuits as critical nodes in brain-wide functional architecture, bridging motor control and broader neurological disorders.

• Tourism Management
• Hospitality Business Strategy
• Strategic Management in Tourism
• +5 more

Dr. Sotirios Varelas is an Assistant Professor at the Department of Tourism Studies of the University of Piraeus specializing in Hospitality Business and Tourism Organization Strategy. He holds a PhD from the Department of Organization and Business Administration of the School of Economics, Business and International Studies of the University of Piraeus, an MBA-TQM in Business Administration, and graduated from the Department of Statistics and Insurance Science. With over 12 years of professional experience as a scientific consultant in tourism organizations, Dr. Varelas has served at the Ministry of Tourism, the Hellenic Tourism Organization, and the Peloponnese Region. He has collaborated with numerous research centers including the Institute of Regional Development, ELKE of the University of Peloponnese, and the Research Center of the University of Piraeus. His research focuses on strategic management in tourism, digital tourism innovations, sustainable tourism practices, and big data applications in the tourism sector. He has published extensively in international journals on topics including blockchain technology in tourism, virtual immersive platforms, artificial intelligence applications, and strategic management during economic crises. Dr. Varelas teaches various courses including Introduction to Tourism, International Economics and Tourism Market, Tourism Development Strategies, Strategic Management of Tourism Businesses, and Contemporary Tourism Issues at the University of Piraeus. He also serves as the student internship coordinator and academic advisor coordinator for the Department of Tourism Studies. As an active leader in the tourism academic community, he is President of the Board of Directors of the Greek Branch of the World Organization for Technology in Tourism and Travel (IFITT) and has created and coordinated postgraduate programs in tourism business administration.

Jennifer WhitsonView profile

Associate Professor

• Control
• Illusory Pattern Perception
• Power Dynamics
• +4 more

Jennifer Whitson is an Associate Professor of Management and Organizations at the UCLA Anderson School of Management. Her research focuses on control, power dynamics, and how people make sense of the world in organizational contexts. She explores how lack of control leads to illusory pattern perception, including conspiracy theories and superstitions, and how stigmatized groups regain control through reappropriation of slurs. Education: Ph.D. in Management and Organizations, 2007, Northwestern University M.S. in Management and Organizations, 2004, Northwestern University B.A. in Psychology and Social Behavior, 2000, University of California, Irvine Whitson's research establishes a critical relationship between psychological experiences of lacking control and illusory pattern perception. When people feel out of control, they tend to "connect dots that there is no rationale for connecting," such as believing in conspiracy theories or superstitions. Her work demonstrates that the implications of control extend beyond previously studied areas and carry business costs. Another significant branch of her research explores how members of stigmatized groups who lack control over how they're perceived by dominant society regain that control through reappropriation - self-identifying with terms used as slurs. Group identification, she finds, is critical in reappropriating stigmatizing labels. Her recent publications reveal consistent themes across organizational behavior, social psychology, and cognitive science. The research shows how lack of control influences organizational decision-making, how power dynamics affect workplace behavior, and how stigma management can lead to positive organizational change. Her work on conspiracy theories in organizational contexts has gained particular attention during the pandemic, exploring how uncertainty drives people to seek patterns, sometimes where none exist. Scientific Awards: Eric and "E" Juline Faculty Excellence in Research Award, UCLA Anderson School of Management Dean George W. Robbins Assistant Professor Teaching Award, UCLA Anderson School of Management Inducted as a Society for Experimental Social Psychology Fellow Whitson has appeared in major media outlets including CBS Morning News, National Public Radio, Through the Wormhole with Morgan Freeman, and National Geographic's Brain Games. Her research has been featured in the Wall Street Journal, BBC Future, USA Today, and New Republic, among others. She teaches courses in Organizational Behavior, Leadership Foundations, Negotiations, and Communications II at UCLA Anderson.

Hong Je ChoView profile

Assistant Professor

• Sustainable Chemical Processes
• Heterogeneous Catalysis
• Adsorption
• +7 more

Hong Je Cho is an Assistant Professor in the Department of Chemical Engineering at Oklahoma State University since August 2022. His research focuses on nano-structured materials for sustainable energy and environmental remediation , with emphasis on heterogeneous catalysis , adsorption , and reaction engineering . Ph.D., Chemical Engineering, University of Massachusetts Amherst (2017) Postdoctorate, Chemical & Biomolecular Engineering, University of Delaware (2021) M.S. & B.E. in Chemical Engineering from Seoul National University and Ajou University (2004 & 2002) His group develops zeolites , metal oxides , and carbon-based catalysts to convert renewable and fossil resources into valuable chemicals. Recent work explores biofuel production , PFAS removal , and catalyst regeneration . Articles reveal trends in tandem catalysis , pore architecture , and solvent engineering for selective pathways. USDA-NIFA Sun Grant (2024) for biofuels Invited speaker at Oak Ridge National Laboratory (2024) He mentors undergraduate researchers (e.g., Adam Meringolo, Macey Fletcher) and teaches courses like Advanced Reaction Engineering and Chemical Engineering Lab . The group's efforts align with United Nations Sustainable Development Goals for Clean Energy and Sustainable Cities .

• Asymptotic statistics
• Branching processes
• Limit theorems
• +4 more

Prof. Dr. Matthias Meiners is a faculty member at Justus-Liebig-University Giessen, holding the Chair of Stochastics within the Mathematical Institute. His research focuses on Asymptotic statistics Branching processes Limit theorems Random walks in random environments Regenerative processes Renewal theory Statistical mechanics . Recent publications analyze complex stochastic phenomena across branching processes, random walks, and renewal equations, with 2025 preprints on CMJ explosions and Markov renewal expansions. 2024 works examine active Brownian particle dynamics and supercritical branching fluctuations. Earlier studies address kinetic equations, martingale convergence, and percolation model speeds. Contact: Email: Matthias.Meiners@math.uni-giessen.de Phone: 0641 99-32100 Office: Room 216, Arndtstr. 2, 35392 Gießen

Jerry LiView profile

Associate Professor

• learning theory
• quantum information theory
• large foundation models
• +4 more

Jerry Li is an associate professor at the University of Washington's Paul G. Allen School of Computer Science & Engineering. Previously, he was a principal research scientist at Microsoft Research Redmond and was the VMware Research Fellow at the Simons Institute in Fall 2018. Li completed his Ph.D. at MIT under the supervision of Ankur Moitra and his master's degree at MIT under Nir Shavit. As an undergraduate, he also attended the University of Washington, where he worked on complexity of branching programs and hardness of learning problems in database theory and AI. His primary research interests focus on learning theory broadly defined, with specific expertise in quantum information theory, large foundation models, and high-dimensional statistics. He has a particular interest in applying analysis and analytic techniques to theoretical computer science problems. His recent work spans quantum computing, robust machine learning, and theoretical foundations of deep learning, showing a clear trend toward bridging quantum information theory with statistical learning theory. Li has made significant contributions to the fields of robust statistics, quantum computing, and theoretical machine learning, with numerous publications in top-tier conferences and journals including FOCS, STOC, NeurIPS, ICML, and Science. His work often bridges theoretical guarantees with practical applications in machine learning systems, particularly in the areas of robustness and quantum advantage. George M. Sprowls Award for outstanding Ph.D. theses in EECS at MIT Best Artifact Award at PPoPP 2015 for "The SprayList: A Scalable Relaxed Priority Queue" Communications of the ACM Research Highlights for "Robust Estimators in High Dimensions without the Computational Intractability" Invited to special issues of SIAM Journal on Computing for FOCS 2023 and STOC 2022 Spotlight Presentations at NeurIPS 2019 Notable top 5% paper at ICLR 2023 Li advises several Ph.D. students including Ziyun Chen (co-advised with Shayan Oveis Gharan) and numerous research interns. He has served on program committees for major conferences including STOC, SODA, and ITCS, and is co-organizing the FOCS 2024 Workshop on Recent Advances in Quantum Learning. His teaching includes courses such as CSE 422: Toolkit for Modern Algorithms and CSE 599-M: Robustness in Machine Learning, for which he has created publicly available video lectures.

Peter N. StearnsView profile

Academic

• World History
• Social History
• Globalization
• +3 more

Peter N. Stearns is a University Professor at George Mason University and Provost Emeritus, serving from 2000 to 2014. His research focuses on modern European and American social history, the history of emotions, world history, and globalization. He has taught at Harvard, the University of Chicago, Rutgers, and Carnegie Mellon, and was educated at Harvard University with a Ph.D. in 1963. B.A. summa cum laude, Harvard University (1957) M.A., Harvard University (1959) Ph.D., Harvard University (1963) Dr. Stearns' work explores comparative social history, the evolution of emotional norms, and global historical analysis. He has authored or edited over 135 books, emphasizing interdisciplinary approaches and the integration of historical analysis with psychology, sociology, and cultural studies. His recent publications highlight trends in world history, including globalization's historical roots, cultural transformations, and the analysis of emotions across civilizations. Themes span industrialization, gender dynamics, mortality practices, and societal anxieties. Dr. Stearns received the prestigious Mason Medal in 2014 for his contributions to the university's global initiatives, including the Incheon branch campus and INTO collaboration. He has also mentored graduate students such as Kelley Fincher and Holly Moir, guiding research on consumerism, labor, and education. Active in teaching and research post-retirement, he continues to edit and publish extensively while maintaining a faculty schedule. His skills emphasize analytical argumentation, comparative methods, and historical writing.

Brett J. TheelerView profile

Professor

• Neuro-Oncology
• Rare Primary CNS Neoplasms
• Brain Tumor Research
• +3 more

Brett J. Theeler is a Professor and Chair of the Department of Neurology at the Uniformed Services University of the Health Sciences (USUHS) School of Medicine. He maintains an active Neuro-Oncology practice at the John P. Murtha Cancer Center within Walter Reed National Military Medical Center and serves as a Clinical Collaborator with the National Institutes of Health, National Cancer Institute, Neuro-Oncology Branch in Bethesda, MD. Dr. Theeler earned his B.S. from Black Hills State University (1996-2001), M.D. from Uniformed Services University (2001-2005), completed Neurology residency at Madigan Army Medical Center (2005-2009), and a Neuro-Oncology fellowship at MD Anderson Cancer Center (2010-2012). His research focuses on rare primary central nervous system neoplasms including pilocytic astrocytomas, pleomorphic xanthoastrocytomas, diffuse midline gliomas and other brain cancers with increased incidence in adolescent and young adult populations. Dr. Theeler has been instrumental in advancing molecular classification of brain tumors and developing targeted therapies for rare CNS tumors through his leadership in the NCI-CONNECT program. His work bridges clinical practice with translational research, emphasizing both patient care and scientific advancement in neuro-oncology. Dr. Theeler's recent publications demonstrate a strong focus on rare CNS tumors, quality of life issues, molecular classification of gliomas, and innovative therapeutic approaches, with significant contributions to understanding tumor biology and improving clinical outcomes. Dean's Award for Academic Excellence, 2001-02 (USUHS) Malcolm B. Carpenter Award, Excellence in Fundamentals of Neuroscience, 2001-02 (USUHS) Captain Calvin B. Early Award for Excellence in Teaching, 2018 Honorary Doctorate of Science from Black Hills State University, 2019 'A' Proficiency Designator by US Army Medical Command, 2019 Inducted into Order of Military Medical Merit (O2M3), 2020 Master Clinician, Neuro-Oncology, 2023 Dr. Theeler has held significant leadership roles including Associate Residency Program Director, Deputy Chief, and Chief of Neurology at Walter Reed National Military Medical Center before becoming Chair of Neurology at USUHS in 2021. He served as Theater Neurologist in Afghanistan (2013) and currently chairs the Programmatic Review Panel for the Rare Cancers Research Program (FY2024-FY2026). His military service as a Colonel in the Army Medical Corps complements his academic and clinical work. As an active participant in the NCI-CONNECT program, Dr. Theeler has co-chaired workshops on rare CNS tumors, particularly focusing on histone mutated midline gliomas. His clinical work at the Murtha Cancer Center provides specialized neuro-oncology care to military personnel and their families, integrating military medicine with cutting-edge academic research.