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Henry VanBrocklinView profile

Professor

• Radiopharmaceutical Chemistry
• PET Imaging
• SPECT Imaging
• +5 more

Henry VanBrocklin, PhD, is a Professor in Residence and Director of the Radiopharmaceutical Research Program in the Center for Molecular and Functional Imaging (CMFI) at the University of California, San Francisco. He also serves as a Joint Faculty Scientist at the Lawrence Berkeley National Laboratory and is a core faculty member for the Master's in Biomedical Imaging (MSBI) program. Dr. VanBrocklin received his educational training from: Doctor of Philosophy: Washington University, St. Louis - Radiopharmaceutical Chemistry Postdoctoral Fellow: University of Illinois, Urbana Dr. VanBrocklin's research focuses on radiopharmaceutical chemistry and molecular imaging. His work centers on developing novel radiotracers for PET and SPECT imaging applications, with particular emphasis on cancer imaging (prostate, pancreatic, and breast cancer) and neurological imaging. His laboratory specializes in short-lived radioisotope production and the creation of fluorine-18 and carbon-11 labeling chemistry strategies for new radiotracer preparations. His recent publications demonstrate a strong focus on prostate cancer imaging and therapy using PSMA-targeted agents, CD46-targeted theranostics, and novel nanocarrier systems for enhanced tumor penetration. There's also significant work on T-cell imaging using [18F]F-AraG for applications in infectious disease, autoimmune disorders, and cancer immunotherapy monitoring. Dr. VanBrocklin has received numerous prestigious awards: Paul C. Aebersold Award, SNMMI, 2023 Western Pioneer Award, Western Regional SNMMI, 2022 Fellow, Society of Radiopharmaceutical Sciences, SRS, 2021 Michael J. Welch Award, RPSC, SNMMI, 2020 MSBI Outstanding Teacher Award (2019, 2021, 2023) Distinguished Investigator, Acad Radiol & Biomed Imag Res, 2018 Fellow, Society of Nuclear Medicine and Molecular Imaging, SNMMI, 2018 As Director of the Radiopharmaceutical Research Program at UCSF's CMFI, Dr. VanBrocklin oversees a major research operation that develops and produces radiotracers for both basic science and clinical research. His laboratory has secured significant funding for developing novel imaging agents and therapeutic approaches, particularly in the area of targeted alpha therapy for prostate cancer. He serves as Editor-in-Chief of Molecular Imaging (2011-2025) and has been instrumental in advancing regulatory frameworks for PET drug development. Dr. VanBrocklin leads the Radiopharmaceutical Research Program at UCSF's Center for Molecular and Functional Imaging, which includes radiochemistry laboratories, imaging facilities, and a team of researchers focused on developing novel radiotracers and imaging methodologies. His program collaborates extensively with the Lawrence Berkeley National Laboratory, where he holds a joint appointment, facilitating access to advanced isotope production capabilities.

• Quantum Information Theory
• Quantum Many-Body Systems
• Mathematical Physics
• +2 more

Dr. Angela Capel Cuevas is an Assistant Professor at the University of Cambridge's Department of Applied Mathematics and Theoretical Physics since April 2024. Previously, she held a Junior Professorship (W1) at Eberhard Karls Universität Tübingen's Mathematical Physics area (2021-2024), and was an MCQST Distinguished PostDoc at Technische Universität München (2020-2021). Her research sits at the intersection of Quantum Information Theory and Quantum Many-Body Systems , focusing on quantum dissipative evolutions and their mathematical characterization through quantum functional inequalities and entropic bounds . 2023-26: CRC TRR 352 grant on "Mathematics of Many-Body Quantum Systems" (7M€) 2024-27: QuantERA project "Towards a useful quantum advantage" (TouQan, 1.25M€) Her recent work demonstrates rapid thermalization in 1D quantum systems with logarithmic time scaling and establishes exponential mutual information decay for Gibbs states. She co-organized BIRS-IMAG workshops on quantum information theory and received the Jack Keil Wolf ISIT Student Paper Award (2023). Her PhD thesis (ICMAT/Universidad Autónoma de Madrid, 2019) introduced quasi-factorization techniques for relative entropy, leading to groundbreaking results in quantum functional inequalities. 2023: Simons Emmy Noether Fellowship at Perimeter Institute 2023: Forbes 30 Under 30 Spain 2022: Vicent Caselles RSME-FBBVA Award

Roie LevinView profile

Assistant Professor

• Approximation Algorithms
• Online Algorithms
• Submodular Functions
• +5 more

Roie Levin is an Assistant Professor at Rutgers University's Department of Computer Science. He received his PhD in Algorithms, Combinatorics and Optimization from Carnegie Mellon University in 2022, advised by Anupam Gupta. Prior to that, he worked at the Allen Institute for Artificial Intelligence (2015-2017) and earned dual BSc degrees in Computer Science/Applied Mathematics and Mathematics from Brown University (2015). Before joining Rutgers, he was a Fulbright Postdoctoral Fellow at Tel Aviv University under Niv Buchbinder. Current Role: Assistant Professor in Computer Science Academic Training: PhD (2022) CMU, BSc (2015) Brown University Postdoctoral: Fulbright Fellow at Tel Aviv University Levin's research focuses on approximation algorithms for uncertain environments (online/dynamic/streaming models) and submodular function optimization. His work spans theoretical foundations and practical implementations across distributed systems, geometric constraints, and reinforcement learning paradigms. Teaching includes graduate and undergraduate algorithms courses (CS 344, CS 513) with emphasis on problem-solving techniques, computational complexity, and modern algorithmic trends. His publications showcase expertise in online algorithms, submodular optimization, and approximation theory with applications in clustering, caching, and machine learning. The 2025 articles demonstrate continued exploration of online consistency and contention resolution, while 2023-2024 works focus on submodular optimization under uncertainty and dynamic environments. Earlier publications (2015-2017) cover semantic parsing, geometric approximation, and planar graph optimization. Fulbright Postdoctoral Fellow Levin's research connects theoretical guarantees with practical implementations, bridging classical algorithm design with modern machine learning applications. His recent work explores primal-dual methods in online settings and robust subspace approximation techniques for streaming data environments.

Fan-Chi LinView profile

Associate Professor

• Seismic Interferometry
• Seismic Tomography
• Earth Structure Analysis
• +6 more

Fan-Chi Lin is an Associate Professor in the Department of Geology and Geophysics at the University of Utah. With expertise in seismic methods and earth structure analysis, Dr. Lin leads research in seismic interferometry and tomography to understand Earth's structure from shallow to deep. Dr. Lin earned a Ph.D. in Geophysics from the University of Colorado Boulder in 2009. Since then, they have established themselves as a leading researcher in seismic methods development and application. Dr. Lin's research focuses primarily on seismic interferometry and seismic tomography. Seismic interferometry is a method that extracts useful information from diffusive wavefields (like ambient noise and coda wavefields) that were traditionally considered unusable noise. Their work has demonstrated that signals extracted through seismic interferometry provide important new constraints on Earth structure across various scales. This research has applications in studying 3D sedimentary basin structure, regional/continental crust and upper mantle structure, volcano magma bodies, and deeper mantle and core structure. As a member of the University of Utah, Dr. Lin also applies these techniques to model the 3D structure of the Salt Lake Valley and the geometry of the Wasatch fault system to better understand seismic hazards in the area. Analysis of Dr. Lin's recent publications (2021-2025) reveals a strong focus on applying dense seismic arrays and advanced processing techniques to study geological structures. Their work spans multiple geographical areas including Yellowstone National Park, the Wasatch fault system, Taiwan, Hispaniola Island, and the Wyoming Craton. The research demonstrates expertise in Rayleigh wave analysis, ambient noise tomography, and joint inversion techniques. A notable trend is the increasing use of dense linear arrays and double beamforming techniques to achieve higher resolution imaging of subsurface structures. Dr. Lin maintains an active research program with numerous collaborations across institutions. Their work has been featured in high-impact journals including Nature, Science, and Geophysical Research Letters, with several papers receiving media attention from outlets like BBC Science Focus, Discover Magazine, and Phys.org. Dr. Lin leads the "noise.earth.utah.edu" research group, which focuses on developing and applying seismic noise-based methods for Earth structure imaging. The lab utilizes both permanent and temporary seismic arrays to study various geological settings, with particular emphasis on geothermal systems, fault zones, and volcanic regions.

Simon SponbergView profile

Associate Professor

• Neuromechanics
• Biomechanics
• Insect Flight
• +4 more

Simon Sponberg is the Dunn Family Associate Professor at Georgia Institute of Technology, holding joint appointments in the School of Physics and School of Biological Sciences within the College of Sciences. He directs the Agile Systems Lab and serves as Physics & Biological Sciences Director. His research bridges physics, biology, and engineering to understand the principles of animal locomotion. Dr. Sponberg received his Ph.D. in Integrative Biology from UC, Berkeley and completed postdoctoral research at the University of Washington. His academic journey began with undergraduate studies at Lewis & Clark College, where he first explored biomechanics research focusing on gecko adhesion. Dr. Sponberg's research centers on neuromechanics - an integrative science examining how physics and physiology enable animals to achieve remarkable stability and maneuverability. His work specifically investigates insect flight mechanics, particularly in hawkmoths (Manduca sexta), exploring how nervous systems interact with muscle mechanics to produce locomotion. Key research areas include: Mechanisms of Maneuverability: How animals maintain stable flight during perturbations Sensing in Complex Environments: Multisensory integration of vision and mechanosensation Multiscale Physics of Muscle: How muscle structure relates to function across scales Evolution of Flight: Comparative studies of different insect flight strategies His publication record reveals a strong focus on the intersection of biomechanics, neuroscience, and physics, with recent work emphasizing resonant mechanics in insect flight, precise neural control of movement, and multisensory integration for robust performance across varying environmental conditions. A notable trend is the integration of experimental biology with computational modeling and robotics to extract general principles of movement. Dr. Sponberg's scientific achievements have been recognized with numerous awards and fellowships: Hertz Fellow (since 2002) National Science Foundation Fellowships American Physical Society Awards Society of Integrative and Comparative Biology Awards Woods Hole Marine Biological Institute Fellowships University of California Fellowships International Association of Physics Students Awards As an advisor, Dr. Sponberg mentors a diverse team of graduate students and postdoctoral researchers through the Quantitative Biosciences Graduate Program, Neuroscience and Neurotechnology Graduate Program, and Bioengineering Graduate Program. His lab has received significant funding, including an NSF-funded Biological Integration Institute (the Integrative Movement Sciences Institute) and a FLAP MURI grant. His mentoring philosophy emphasizes interdisciplinary collaboration and hands-on research experience, with over 120 undergraduate students having participated in his lab through Georgia Tech's Vertically Integrated Projects program. The Agile Systems Lab, housed in the Howey Physics Building at Georgia Tech, brings together researchers from physics, biology, engineering, and neuroscience to study the fundamental principles of movement. The lab features state-of-the-art equipment for high-speed videography, electrophysiology, robotic flower tracking systems, and X-ray diffraction studies of living muscle. Current collaborative projects include the NSF-funded Integrative Movement Sciences Institute, which explores movement across scales from molecules to organisms, and the FLAP MURI grant investigating resonant mechanics in flapping flight.

• Neurodegenerative Diseases
• Parkinson's Disease
• Dementia with Lewy Bodies
• +3 more

Dr. Daniel Erskine is a researcher affiliated with Newcastle University , focusing on neurodegenerative diseases and mitochondrial dysfunction. His work spans Parkinson's disease, dementia with Lewy bodies, and rare monogenic disorders, with a particular emphasis on alpha-synuclein pathology. Publications since 2015 address Lewy body formation, mitochondrial quality control, and neuroinflammatory mechanisms. Collaborates with professors in neurology and mitochondrial medicine, contributing to both clinical and experimental studies. Recent work explores genomic DNA damage, autophagy-NAD axis targeting, and cerebellar degeneration in mitochondrial diseases. Develops diagnostic tools like alpha-synuclein seed amplification assays and investigates neurochemical changes in disease states.

• Mental Fatigue
• Human Physiology
• Sports Physiotherapy
• +6 more

Kevin De Pauw is a postdoctoral researcher at the Department of Physiotherapy, Human Physiology and Anatomy at Vrije Universiteit Brussel (VUB). He actively contributes to 12 research projects with a focus on robotics, mental fatigue, brain physiology, and sports physiotherapy. Current projects include Brubotics, APEX, and TBrainBoost Collaboration network spans Belgium, Germany, and Netherlands Key research themes: Mental Fatigue (100%), Robotics (100%), and Prosthetics (52%) Research Interests: His work explores the intersection of brain physiology, fatigue mechanisms, and robotics applications in rehabilitation. He develops predictive musculoskeletal simulations and investigates inter-limb asymmetry in athletes. Article Trends: Recent publications show increasing focus on robot-assisted rehabilitation , brain neuroplasticity , and mental fatigue quantification . Research combines AI-driven wearable robotics with neurophysiological monitoring . Student Supervision: He mentors Master's students in topics related to Lower limb asymmetry analysis Adolescent cognition-fitness relationships Exoskeleton interface design Laboratory Affiliation: Member of Brubotics and TBrainBoost teams at VUB, working on sustainable human-centered robotics and neurocirculation enhancement technologies.

• Medical Physics
• Magnetic Resonance Imaging (MRI)
• Magnetic Resonance Spectroscopy (MRS)
• +4 more

Prof. Fritz Schick is a faculty member at the University of Tübingen , serving as the Deputy Head of the Division 'Pathophysiology of Prediabetes' at the Helmholtz Diabetes Center. He also holds a permanent professorship as Head of the Section on Experimental Radiology within the Department of Diagnostic and Interventional Radiology at Tuebingen University Hospital. His work focuses on developing non-invasive methods to characterize tissue composition and function in pre-diabetes and diabetes. M.D. (1989) and Physics (1990) graduate from University of Tübingen Research Interests : Schick's research spans quantitative MRI and MRS for applications in musculature, liver, adipose tissue, and bone marrow . His work bridges medical physics with metabolic disease analysis , emphasizing non-invasive diagnostics and cohort studies. Publication Trends : Recent articles highlight his expertise in MRI-based quantification of metabolic tissues, including studies on visceral adipose tissue distribution (German National Cohort), hepatokines in NAFLD, and deep learning for diabetes detection from whole-body MRI. Collaborations span radiology, endocrinology, and computational biology. Scientific Awards : Technologie-Transfer-Handwerk Professor Adalbert Seifriz-Preis (2003) Stipend of Siemens AG, Ernst-von-Siemens-Stipend (1992-1994) Dr.-Friedrich-Förster-Award, Department of Physics (1991) Affiliations : Active in the Helmholtz Diabetes Center and German Center for Diabetes Research , with leadership roles in experimental radiology and metabolic imaging.

Randy J. SeeleyView profile

Professor

• Neuroscience
• Endocrinology
• Nutritional Sciences
• +4 more

Randy J. Seeley is the Henry K. Ransom Endowed Professor of Surgery at the University of Michigan School of Medicine, with adjunct appointments in Internal Medicine and Nutritional Sciences. His research focuses on central nervous system regulation of energy balance, obesity, diabetes, and metabolic disease interventions. His scientific work explores how peripheral hormones interact with the CNS to control food intake, body weight, and fuel metabolism. Recent studies highlight innovative approaches including GLP-1 receptor agonists, bariatric surgery mechanisms, and gut-liver-brain axis interactions. Publications span top journals like Nature , Science , and Cell Metabolism , emphasizing translational research from animal models to human metabolic outcomes. Key themes include hormonal signaling, weight-loss maintenance, and metabolic inflammation. 2009 Outstanding Scientific Achievement Award (American Diabetes Association) 2022 AAAS Fellow Dr. Seeley has served on NIH review panels and the Science editorial board, advancing obesity and diabetes research through interdisciplinary collaborations.

Tamara BidoneView profile

Assistant Professor

• Biophysics
• Molecular Dynamics Simulations
• Coarse-graining
• +4 more

Tamara Bidone serves as an Assistant Professor of Biomedical Engineering and Adjunct Assistant Professor of Biochemistry and Molecular Pharmaceutics at the University of Utah, conducting interdisciplinary research through the Bioscience Programs with emphasis on computational approaches to biological macromolecules and cellular mechanics. Her academic foundation includes: B.S. from Polytechnic University of Turin, Italy M.S. from Polytechnic University of Turin, Italy Ph.D. from Polytechnic University of Turin, Italy Dr. Bidone's research program centers on elucidating structure-function relationships in biological macromolecules, particularly adhesion proteins and their role in cellular dysfunction and disease. She develops and applies advanced computational methodologies including molecular dynamics simulations, coarse-graining techniques, Brownian dynamics, and agent-based mesoscale modeling to investigate molecular and macromolecular dynamics. Her work spans biophysics, computational biology, and cellular mechanics with specific focus on integrin-mediated adhesion, cytoskeletal dynamics (actin and microtubules), and mechanical regulation of cellular processes. Analysis of her 15 most recent publications (2023-2025) reveals a dominant trend in computational modeling of cellular adhesion mechanisms and cytoskeletal dynamics. Key thematic areas include integrin activation pathways (particularly αIIbβ3), microtubule tip mechanics, actin bundle formation, and data-driven approaches integrating machine learning with biophysical simulation. Her methodological innovations feature generative modeling, manifold learning, and equation-free dynamics applied to complex protein systems, providing critical insights into force-regulated conformational changes and disease mechanisms. While no specific laboratory name is provided in available materials, her research contributes significantly to computational biosciences at the University of Utah, advancing fundamental understanding of cellular mechanics through sophisticated simulation frameworks that bridge molecular and cellular scales.

Hassan HakimiView profile

Assistant Professor

• Veterinary Parasitology
• Functional Genomics of Protozoan Parasites
• Tick-borne Pathogens
• +7 more

Hassan Hakimi is an Assistant Professor of Veterinary Parasitology in the Department of Diagnostic Medicine/Pathobiology at Kansas State University's College of Veterinary Medicine. His academic journey includes a DVM from University of Tehran, Iran, an MSc from Obihiro University of Agriculture and Veterinary Medicine in Japan, and a PhD from Gifu University United Graduate School of Veterinary Sciences, Japan, followed by post-doctoral trainings at Nagasaki University and Texas A&M University. He is also a Diplomate of the American College of Veterinary Microbiologists-Parasitology. Dr. Hakimi's research focuses on the functional genomics of important protozoan parasites, particularly Babesia and Theileria (tick-borne pathogens), with special emphasis on the molecular mechanisms that underpin parasite survival within host erythrocytes. He has pioneered the development of genetic tools for Babesia parasites, including establishing a CRISPR/Cas9 system and adapting glmS riboswitch system for conditional gene knockdown. A second major research line focuses on Guinea worm (Dracunculus medinensis), aiming to understand immune responses to develop diagnostic tools for this neglected tropical disease. His publication record shows consistent high-impact research output, with recent papers exploring ves1α genes in cytoadhesion, spherical body proteins in red blood cell modification, and genetic tools for parasite manipulation. The research spans molecular mechanisms, diagnostic development, and comparative genomics across various parasite species. Diplomate of American College of Veterinary Microbiologists-Parasitology Dr. Hakimi serves as co-instructor for the Clinical Veterinary Parasitology course (DMP834) for second-year veterinary students. His work bridges basic molecular parasitology with practical veterinary applications, contributing significantly to our understanding of parasite biology and developing tools for disease control. His research has implications for both veterinary and human medicine, particularly in understanding host-pathogen interactions and developing interventions for parasitic diseases.

Gary D. WuView profile

Professor

• Gastroenterology
• Gut Microbiome
• Host-Microbial Interactions
• +4 more

Dr. Gary D. Wu is the Ferdinand G. Weisbrod Professor in Gastroenterology at the University of Pennsylvania’s Perelman School of Medicine, where he serves as Co-Vice Chief for Research in the Department of Medicine and Director of the Penn Center for Nutritional Science and Medicine. He co-leads the Penn-CHOP Microbiome Program and directs multiple NIH-supported core facilities, including the Human-Microbial Analytic and Repository Core (H-MARC) and the Microbial Culture and Metabolomics Core. His research focuses on the interplay between diet, gut microbiota, and host metabolism, with contributions to high-impact journals in microbiome science and clinical gastroenterology. Education : A.B. in Chemistry (Cornell University, 1980); M.D. (Northwestern University Medical School, 1986); Honorary M.A. (University of Pennsylvania, 2002) Research Interests : As a physician-scientist, Dr. Wu investigates how dietary components shape gut microbiome composition and functionality, leading to metabolic and physiological consequences in the host. His work spans translational studies, computational biology, and molecular microbiology, emphasizing microbial metabolism, pathobiont dynamics, and microbiome-driven disease mechanisms. Current projects include dietary interventions for infection resistance and microbiome-based diagnostics for chronic diseases. Publication Trends : Recent articles highlight his expertise in gut microbiome ecology, dietary modulation of pathogens (e.g., Clostridioides difficile ), and host-microbe co-metabolism. Key subfields include nitrogen assimilation, metal availability in early-life microbiomes, and microbiome associations with systemic infections and kidney disease. Scientific Awards : Elected Member of the American Society for Clinical Investigation and the Association of American Physicians; Honorary M.A. from the University of Pennsylvania Labs & Teams : Dr. Wu directs multiple NIH-funded core facilities and co-leads the Penn-CHOP Microbiome Program, fostering collaborations between Perelman School of Medicine and Children’s Hospital of Philadelphia. His lab investigates microbiome-driven pathophysiology, with personnel specializing in molecular microbiology, computational biology, and clinical translational research.

• Partial differential equations
• Optimal transportation
• Geometry
• +5 more

Dr. Jiakun Liu is an Associate Professor at the School of Mathematics and Applied Statistics, Faculty of Engineering and Information Sciences, University of Wollongong, Australia. He has held this position since January 2022 and maintains an active research program in nonlinear partial differential equations with applications in geometry and optimal transportation. His work has been published in top mathematical journals including Annals of Mathematics, Inventiones Mathematicae, and Communications on Pure and Applied Mathematics. Dr. Liu received his PhD from The Australian National University, Australia. His academic journey includes prestigious fellowships such as the Simons Postdoctoral Fellowship and the Australian Research Council's Discovery Early Career Researcher Award (DECRA). Dr. Liu's primary research focuses on nonlinear elliptic and parabolic partial differential equations, with special emphasis on the regularity theory of Monge-Ampère equations, Hessian equations, and other variational problems. His work extends to related areas of geometry and physics, including the geometry of convex bodies, minimal surfaces, surfaces of prescribed curvatures, and geometric flows. His research has significant applications in optimal transportation theory, which connects mathematical analysis with practical problems in economics, physics, and computer science. Analysis of Dr. Liu's recent publications reveals a strong focus on regularity theory for Monge-Ampère equations and optimal transportation problems. His work spans pure mathematical theory (regularity of solutions, singular sets, free boundaries) while maintaining connections to geometric applications and practical problems. A notable trend is the increasing interdisciplinary nature of his research, with recent work connecting optimal transport to statistical methods and computer science applications. Dr. Liu has received several prestigious awards and fellowships: UIC International Links Scheme (University of Wollongong, 2015) Discovery Early Career Researcher Award (DECRA) from Australian Research Council Discovery Project (DP170100929) from Australian Research Council Shiing-Shen Chern Mathematical Scholarship from Zhejiang University Simons Foundation Simons Postdoctoral Fellowship Dr. Liu is actively involved in mentoring the next generation of mathematicians, having supervised numerous PhD students including Siyuan Li, Jihang Zhang, Phung Trong Thuc, Yating Wu, and Meng Ji. He has also guided honours students such as Matthew Hughes, Luke McDonald, and Brad Rice. His research is supported by multiple grants, including "Singularity and regularity for Monge-Ampere type equations" (2023-2026), "Monge-Ampere type equations and their applications" (2023-2027), and "Monge-Ampere equations and applications" (2020-2024), demonstrating sustained funding for his research program. Dr. Liu is an active participant in the mathematical community, organizing conferences such as the International Conference on Nonlinear Partial Differential Equations (honoring Professor Neil Trudinger's 80th birthday) and the 4th Australia-China Joint Conference on Geometric Analysis. He maintains collaborative relationships with researchers across Australia, China, and internationally, contributing to a vibrant research environment in geometric analysis and PDEs.

Rafael SebastianView profile

Professor

• Cardiac Computational Modeling
• Artificial Intelligence in Medicine
• Medical Imaging
• +4 more

Rafael Sebastian is a Full Professor at Universitat de Valencia and General Director for Science and Research of the Generalitat Valenciana. He leads the Computational Multiscale Simulation Lab (CoMMLab) and collaborates with institutions like Oxford University and Yale University. Department of Computer Science, Universitat de Valencia CoMMLab Founder Spanish Network of Excellence in Cardiac Modeling His research focuses on multi-scale computational models and artificial intelligence for patient-specific cardiac simulations , aiming to improve arrhythmia risk stratification and therapy planning . Key topics include cardiac conduction system modeling , scar-related ventricular tachycardia , and machine learning pipelines for clinical applications. Recent publications emphasize automata-based simulations for atrial arrhythmias, machine learning in arrhythmia localization, and 3D geometric characterization of aortic diseases. Trends show integration of computational modeling with clinical data and medical imaging . Scientific Awards: Best Poster Award, Functional Imaging and Modeling of the Heart (2021) Cum Laude Award, SPIE Medical Imaging (2009) Student Presentation Award (2011) He has supervised 7 PhD/Master students and led grants exceeding €1 million, including projects like iSARC-GENETICS and iCardioTwins , focusing on digital twin technology and cardiac disease stratification .

Sarah L. OrsakView profile

Assistant Professor

• Disability Studies
• Critical Race Theory
• Black Feminist Theory
• +5 more

Sarah L. Orsak is an Assistant Professor in the Department of Women, Gender, and Sexuality Studies at the University of Virginia, where she researches the racialized intersections of disability, Blackness, and gender. Her work critically examines how disability functions as a racial category within scholarly fields and institutional practices. Education: Ph.D. in Women's, Gender, and Sexuality Studies, Rutgers University—New Brunswick Dr. Orsak's scholarship centers on the co-constitution of race and disability, with particular focus on anti-Blackness in disability frameworks and the politics of intersex athletic regulations. Her research interrogates how able-bodied normalcy is produced through racialized and gendered exclusions in sports, literature, and media. Key methodological approaches include Black feminist theory, critical disability studies, and postcolonial analysis. Analysis of her publications reveals consistent engagement with the racial politics of bodily norms across historical and contemporary contexts. Her work demonstrates how disability discourse has been whitened in academic and cultural institutions, while simultaneously exposing the specific violences enacted against Black disabled bodies. Recurring themes include the weaponization of ableism in sports governance, the erasure of Blackness in disability narratives, and the colonial legacies shaping contemporary bodily regulations. Scientific Awards: Rising Scholar Postdoctoral Fellowship Dr. Orsak has secured research funding from the Mellon Foundation and Rutgers Center for Research on Women. She actively contributes to academic community building as incoming co-chair of the Critical Disability Studies Caucus of the American Studies Association and through her membership in UVA's Disability Studies Initiative, where she collaborates on interdisciplinary projects examining disability justice frameworks. Her institutional engagement extends to developing curricular initiatives at the intersection of disability studies and critical race theory within the Department of Women, Gender, and Sexuality Studies.