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John F. Beacom is a Distinguished Professor of Physics and Astronomy at The Ohio State University and Director of the Center for Cosmology and AstroParticle Physics (CCAPP). His academic roles include leadership in astroparticle physics research and education. He holds joint appointments in both the Department of Physics and the Department of Astronomy within the College of Arts and Sciences. Beacom earned his Ph.D. in Physics from the University of Wisconsin (1997) and dual B.S. degrees in Physics and Mathematics from the University of Kansas (1991). He has held postdoctoral positions at Fermilab and Caltech before joining Ohio State in 2004. His research focuses on neutrinos, dark matter, and multi-messenger astrophysics, with emphasis on neutrino detection techniques, supernova physics, and cosmological implications. He leads major projects like the All-Sky Automated Survey for Supernovae (ASAS-SN) and contributes to the Deep Underground Neutrino Experiment (DUNE). Awards: APS Fellow (2014), NSF CAREER Award (2005–2010), multiple teaching awards for distinguished instruction. Grants: Extensive funding from NSF, DOE, and collaborative international initiatives. Labs/Teams: CCAPP, DUNE Collaboration, ASAS-SN project. His articles span neutrino physics, detector development, and observational astrophysics, reflecting interdisciplinary expertise in theoretical and experimental particle astrophysics.

• Neutrinos
• Dark Matter
• High-Energy Astrophysics
• +5 more

Simon Birrer is an Assistant Professor in Physics and Astronomy at Stony Brook University, specializing in cosmology and gravitational lensing. He holds a PhD from ETH Zurich (2016) and previously served as Kavli Fellow at Stanford University. Birrer leads research probing dark matter and dark energy using gravitational lensing phenomena. His group develops computational tools for analyzing strong gravitational lensing data to study cosmic expansion and dark matter distribution. Research areas include time-delay cosmography, Hubble constant measurements, and machine learning applications in astrophysics. Recent publications focus on multi-messenger gravitational lensing (2025), LSST survey applications (2025), and AI-powered lens modeling pipelines (2025). His work consistently addresses fundamental cosmological tensions like the Hubble constant discrepancy. Awards: Kavli Postdoctoral Fellowship (2019-2022) Kugelpyramide Lifetime Achievement Award Experimental Innovation Award (ETH Zurich) Research Group: Leads the SBU Strong Lensing group with 9+ graduate students and postdocs. The group participates in major collaborations including LSST Strong Lensing Science Collaboration (co-chair), LSST Dark Energy Science Collaboration, and TDCOSMO.

• Cosmology
• Gravitational Lensing
• Dark Matter
• +2 more

Dragan Huterer is a Professor of Physics and Associate Chair for the Graduate Program at the University of Michigan. His research focuses on cosmology, particularly dark energy and large-scale structure, utilizing data from the Dark Energy Survey (DES) and the Dark Energy Spectroscopic Instrument (DESI) collaborations. He earned his Ph.D. from the University of Chicago (2001) and B.S. from MIT (1996). His work explores the nature of dark energy through cosmological probes like Type Ia supernovae, galaxy clustering, and cosmic microwave background anisotropies. Key contributions include co-leading DESI's first-year cosmological analysis, revealing unprecedented constraints on dark energy and neutrino masses. He also investigates the statistical isotropy of the universe and authored the textbook A Course in Cosmology: From Theory to Practice . Awards include the Friedrich Wilhelm Bessel Research Award (2019) and the Chambliss Astronomical Writing Award (2025). He has advised numerous graduate and undergraduate students, and his funding includes DOE, NSF, and NASA grants. Current projects include the Michigan Cosmology Summer School and leadership in the DESI Collaboration.

• Cosmology
• Dark Energy
• Large-Scale Structure
• +3 more

Alexandre Bouchard-Côté is a Professor of Statistics at the University of British Columbia (UBC), affiliated with the Department of Statistics within the Faculty of Science. His research focuses on computational statistics, Bayesian methods, and Monte Carlo techniques, with applications in evolutionary biology, cancer genomics, and computational linguistics. Education : PhD in Computer Science (with Designated Emphasis in Statistics) from UC Berkeley (2010), BSc in Mathematics and Computer Science from McGill University (2005). Affiliations : Director of the Blang probabilistic programming project and leader of the Bouncy Particle Sampler research group. Research Interests : Bouchard-Côté develops scalable Bayesian computational methods, including non-reversible Monte Carlo algorithms like the Bouncy Particle Sampler, and applies these to problems in cancer phylogenetics, evolutionary dynamics, and historical linguistics. His work emphasizes bridging theoretical foundations with practical tools for data science. Publications Trends : Recent work spans distributed sampling frameworks (e.g., Pigeons.jl), variational phylogenetic inference, and cancer clonal evolution modeling. His articles often address algorithmic scalability and interdisciplinary applications in biology and astronomy. Awards : CRM-SSC Prize in Statistics (2024) PIMS-UBC Mathematical Sciences Young Faculty Award (2018) Tweedie New Researcher Award (2016) Advising & Grants : Supervises graduate students (e.g., Son Luu, Nikola Surjanovic) and leads funded projects on distributed MCMC and cancer genomics. Collaborates with institutions like the Simons Foundation and the Canadian Statistical Sciences Institute (CANSSI). Labs/Teams : Core member of the UBC Statistical Machine Learning group, contributing to open-source tools like Blang and the Bouncy Particle Sampler implementation.

• Computational Statistics
• Bayesian Inference
• Monte Carlo Methods
• +4 more

William H. Matthaeus is the Martin A. Pomerantz Chair of Physics & Astronomy at the University of Delaware, where he has been a faculty member since 1983. He is affiliated with the Bartol Research Institute, housed in the H. Rodney Sharp Laboratory on the University of Delaware campus. His work focuses on space physics, plasma physics, turbulence theory, and computational physics. Dr. Matthaeus received his B.A. degree in physics and philosophy from the University of Pennsylvania in 1973, followed by a Ph.D. from William and Mary in 1979. His academic journey included a National Academy of Sciences Research Associate position from 1980-1982 before joining the University of Delaware. Matthaeus's research spans solar wind physics, space plasmas, kinetic microinstabilities, and space mission development. His work involves theoretical, computational, and observational approaches to understanding plasma turbulence and magnetic reconnection in space environments. He has made significant contributions to understanding energy transfer in magnetohydrodynamic turbulence, solar wind dynamics, and particle acceleration mechanisms. His recent publications demonstrate a continued focus on multiscale plasma phenomena, with particular attention to turbulence in the solar wind, magnetosheath, and near-Sun environments. The research utilizes data from multiple spacecraft missions including Parker Solar Probe, MMS, and HelioSwarm, combined with sophisticated numerical simulations. James Clerk Maxwell Prize in Plasma Physics (2019) from the American Physical Society James B. Macelwane Award from the American Physical Society University of Delaware College of Arts & Sciences Scholarship Award Fellow of the American Physical Society Fellow of the American Geophysical Union Fellow of the American Association for the Advancement of Science Fellow of The Institute of Physics Dr. Matthaeus serves as director of the Delaware NASA Space Grant Consortium and the Delaware NASA EPSCoR program. He is a co-investigator on several major spacecraft missions including Cluster/PEACE, the Magnetospheric Multiscale mission, the Parker Solar Probe ISOIS instruments, the Interstellar Mapping and Acceleration Probe, PUNCH and Helioswarm. For over a decade, he has organized the Arcetri Workshop on Plasma Astrophysics in Florence, Italy, fostering international collaboration in the field. His research group at the Bartol Research Institute maintains active collaborations with scientists worldwide and contributes to advancing our understanding of fundamental plasma processes that govern space weather and astrophysical phenomena.

• Space Physics
• Plasma Physics
• Turbulence Theory
• +7 more

Nuno F. Loureiro is Professor of Nuclear Science and Engineering and the Herman Feshbach (1942) Professor of Physics at MIT, and serves as Director of MIT's Plasma Science and Fusion Center (PSFC) since May 2024. He holds joint appointments in MIT's School of Engineering and School of Science, and is affiliated with the MIT Kavli Institute for Astrophysics and Space Research and the MIT Energy Initiative. Director, Plasma Science and Fusion Center (2024-present) Professor of Nuclear Science and Engineering (2016-present) Herman Feshbach (1942) Professor of Physics (current) Loureiro earned his MEng in Physics from Instituto Superior Técnico in Lisbon (2000) and his PhD in Physics from Imperial College London (2005). He completed postdoctoral work at Princeton Plasma Physics Laboratory (2005-07) and UKAEA Culham Centre for Fusion Energy (2007-09) before returning to lead the Theory and Modeling Group at the Institute for Plasmas and Nuclear Fusion at IST Lisbon. Loureiro's research focuses on fundamental aspects of magnetized plasma dynamics, with particular emphasis on magnetic reconnection, magnetic field generation and amplification, confinement and transport in fusion plasmas, and turbulence in strongly magnetized, weakly collisional plasmas. His work bridges theoretical physics with computational simulations using state-of-the-art tools like the Viriato code, which he developed for reduced-gyrokinetic modeling. His research has significant implications for both understanding cosmic phenomena and advancing practical fusion energy solutions. Analysis of Loureiro's recent publications reveals a strong focus on magnetic reconnection mechanisms across multiple scales, from electron-only reconnection to relativistic plasma turbulence. His work increasingly incorporates computational innovations, including quantum computing approaches for plasma modeling. The research spans applications from solar physics and astrophysical phenomena to practical fusion energy challenges, demonstrating the unifying nature of plasma physics across disciplines. NSF Presidential Early Career Award for Scientists and Engineers (PECASE) (2025) American Physical Society Fellow (2022) NSF CAREER Award (2017) Thomas H. Stix Award for Outstanding Early Career Contributions (2015) Loureiro leads the Loureiro Group at MIT, which conducts research at the interface of analytical theory and numerical simulations on supercomputers. His laboratory has developed the Viriato code for plasma simulations and investigates phenomena relevant to both fusion energy and astrophysical plasmas. As Director of the PSFC, he oversees one of MIT's largest research laboratories with over 250 full-time researchers, staff members, and students working across 250,000 square feet of lab space.

• Plasma Physics
• Magnetic Reconnection
• Fusion Energy
• +5 more

Takemichi Okui is a Professor of Physics at Florida State University (FSU), part of the Department of Physics within the College of Arts and Sciences. He holds a Ph.D. from the University of California, Berkeley (2003), and a B.Sc. from Hokkaido University, Japan (1998). His research focuses on High Energy Theory, with expertise in particle physics, cosmology, and quantum field theory. Okui has been recognized with awards such as the FSU Developing Scholar Award (2017) and University Teaching Award (2016). He has mentored multiple graduate students and postdoctoral researchers. Okui's academic roles include serving on FSU's Graduate Affairs Committee and organizing events like the Dirac Lectures. He has taught advanced courses in high energy physics, quantum field theory, and relativity. His research has been supported by grants from the U.S. Department of Energy (DOE) and Japan's JSPS, totaling over $10 million in funding. Key research interests include neutrino physics, dark matter, and axion models. Recent work explores primordial black holes and B-meson decays at the Belle II experiment. Okui actively contributes to professional services, reviewing grants for NSF/DOE and refereeing top journals like Physical Review Letters.

• High Energy Physics
• Particle Physics
• Theoretical Physics
• +3 more

Nuno Loureiro is an Associate Professor at the Department of Nuclear Science and Engineering at MIT, with a secondary appointment in the Physics Department. He obtained his PhD in Physics from Imperial College London in 2005 and held postdoctoral positions at Princeton University and the UK’s Culham Centre for Fusion Energy before joining MIT in 2016. His research focuses on plasma physics , particularly theory and simulations of astrophysical and laboratory plasmas , including magnetic reconnection, turbulence, and kinetic effects. His work bridges classical plasma dynamics with emerging quantum computing applications. The 15 most recent publications highlight advancements in quantum algorithms for plasma simulations , magnetic reconnection mechanisms , and turbulence dynamics across relativistic and non-relativistic plasmas. Topics include plasmoid-mediated inverse energy transfer, data-driven fluid closures, and ion-acoustic instability impacts. 2015 Thomas H. Stix Award (American Physical Society) NSF CAREER Award

• Plasma Physics
• Magnetic Reconnection
• Turbulence
• +4 more

John Davis is a Professor in the Department of Physics at the University of Alberta, Faculty of Science. He holds a PhD and MSc from Northwestern University and a Bachelor’s from Washington University. His research focuses on nanomechanics, superfluidity, and superconductivity, particularly in confined geometries and quantum properties of nanomechanical systems. His lab develops superfluid-based technologies for dark matter detection and precision measurement. He has held academic positions since 2010, including roles at the Canadian Institute for Advanced Research and postdoctoral training at the University of Alberta with Prof. Mark R. Freeman. Education: PhD in Physics (2008), Northwestern University MSc in Physics (2003), Northwestern University Bachelor’s in Physics with Honors (2001), Washington University Research Interests: Superfluid nanomechanical resonators Ultralow-temperature superfluid 3He Nanofluidic cavity quantum electrodynamics Quantum-limited torque magnetometry Applications in dark matter detection and gravitational wave sensing His recent work emphasizes magnomechanics and optomechanical transduction , integrating superfluid systems with quantum sensors. Articles highlight advancements in cryogenic devices, nonlinear dynamics, and hybrid quantum systems. Ongoing projects include the HElium-based Light Operated Superfluid (HELIOS) dark matter detector. Grants & Labs: His lab operates a cryogen-efficient low-temperature facility, focusing on microfluidic quantum fluid experiments. Collaborations involve advanced photonic crystal cavities and diamond-based optomechanical platforms.

• Superfluidity
• Nanomechanics
• Quantum Nanofluidics
• +4 more

Ann B. Lee is a Professor and Co-Director of the PhD Program in Statistics at Carnegie Mellon University , with a joint appointment in the Department of Statistics & Data Science and the Machine Learning Department. Prior to joining CMU, she held positions as a J.W. Gibbs Assistant Professor at Yale University and a visiting research associate at Brown University. PhD in Physics, Brown University MSc/BSc in Engineering Physics, Chalmers University of Technology, Sweden Her research focuses on statistical methodology for complex data in the physical sciences , emphasizing trustworthy inference, uncertainty quantification, and integration of classical statistics with machine learning. Recent work includes likelihood-free inference, calibrated forecasting, and diagnostics for generative models. The STAMPS research group , which she co-founded in 2018, hosts weekly meetings and public webinars. In Fall 2024, STAMPS will transition into a CMU Research Center. Recent publications span likelihood-free inference , climate modeling , and astronomy . Notable collaborations include applications to hurricane intensity guidance , galaxy redshift estimation , and cosmological parameter biases . She mentors PhD students and has advised multiple award-winning researchers, including ASA Best Student Paper Award winners. Her teaching includes advanced courses on probability, regression, and AI for climate sciences.

• Scientific Machine Learning
• Trust-Worthy UQ
• Likelihood-Free Inference
• +1 more

David Allcock is an Assistant Professor in the Department of Physics at the University of Oregon, part of the College of Arts and Sciences. His research focuses on ion trapping, quantum computing, and hybrid quantum systems, with an emphasis on manipulating atomic and molecular systems using electric and magnetic fields for quantum information applications. He leads the Ion Trapping Lab at UO, where he develops scalable quantum technologies and open-source control systems like ARTIQ and Sinara. His work bridges experimental physics with engineering, addressing challenges in qubit control, error mitigation, and large-scale quantum computer design. Education: MPhys from the University of Oxford (2007), D.Phil. in Physics from Oxford (2012). Prior to UO, he was a Lindemann Fellow at the National Institute of Standards and Technology (NIST) in Boulder, CO. His research includes innovations in trapped-ion qubit control, including laser-free entangling gates, scalable architectures, and applications in quantum sensing and dark matter detection. Key research themes include metastable qubit systems, photon scattering error mitigation, and the integration of superconducting detectors for state readout. He collaborates on open-source hardware-software stacks for quantum experiments and mentors students in quantum engineering through programs like the Quantum Technology Master’s Internship. Current projects explore hybrid quantum-classical interfaces and ultra-stable ion trap fabrication. His lab’s contributions span theoretical and experimental domains, with recent advances in geometric phase gates, microwave-driven control, and error-resilient qubit operations. The group also engages in interdisciplinary work linking quantum computing with precision measurement, such as SPUD (SPectroscopy for Ultralight Dark matter) and bosonic sensing tools.

• Ion trapping
• Quantum computing
• Hybrid quantum systems
• +3 more

James F. Drake is a Distinguished University Professor in the Department of Physics at the University of Maryland, College Park, with affiliations at the Institute for Physical Science and Technology (IPST) and the Institute for Research in Electronics and Applied Physics (IREAP). He holds a B.S., M.S., and Ph.D. in Physics from UCLA (1975). His research focuses on theoretical plasma physics, particularly magnetic reconnection and plasma turbulence, with applications to space physics, solar flares, and magnetic fusion. Key contributions include elucidating the role of whistler waves in reconnection dynamics and advancing understanding of energy release mechanisms in plasmas. Dr. Drake’s awards include the American Physical Society Fellowship and the Humboldt Senior Scientist Research Award. He teaches advanced physics courses (e.g., Physics 604, 611, 761-762) and has pioneered computational models to study reconnection, turbulence, and particle acceleration. Recent work leverages Parker Solar Probe data to explore solar wind dynamics and reconnection in near-Sun environments. Education: UCLA (B.S., M.S., Ph.D. in Physics, 1975) Research Themes: Magnetic Reconnection, Plasma Turbulence, Space Plasma Dynamics Notable Achievements: Leader in reconnection theory; developer of kinetic simulation frameworks; contributor to NASA missions

• Theoretical Plasma Physics
• Magnetic Reconnection
• Plasma Turbulence
• +4 more

Prof. dr. Steven Hoekstra is an Associate Professor of Atomic and Molecular Physics at the University of Groningen's Faculty of Science and Engineering, within the Van Swinderen Institute. His research focuses on precision measurements using cold molecules to explore fundamental physics, including Stark deceleration, laser cooling, and searches for physics beyond the Standard Model. He leads the NL-eEDM program at Nikhef, investigating the electron's electric dipole moment. Hoekstra is also involved in educational innovation, having received the Teacher of the Year award (2020) and a Senior Teacher Qualification (2023). He has supervised over 11 PhD theses and currently mentors 5 students. His work combines experimental techniques with theoretical insights, addressing questions like symmetry violations and quantum dynamics. Key projects include manipulating BaF molecules with electrostatic fields and exploring levitated nanoparticles as sensors. Hoekstra has secured major grants, including NWO VICI (2022) and VIDI (2013), and collaborates internationally on projects like the European Strategy for particle physics. Recent articles highlight advancements in molecular beam control, spin-precession methods for EDM searches, and opportunities in radioactive molecules. He actively participates in the Physics Olympiad Netherlands as chair, contributing to science outreach and education.

• Atomic Physics
• Molecular Physics
• Stark Deceleration
• +5 more

Freddy Bouchet is a Directeur de Recherche at CNRS and a Professeur attaché at École Normale Supérieure de Paris (ENS-PSL). His work bridges mathematical physics, climate science, data science, and statistical mechanics , focusing on turbulent flows, climate extremes, and large deviation theory . He will lead the Laboratoire de Météorologie Dynamique (LMD) starting 2025. Research Themes : Statistical mechanics of geophysical flows (Jupiter's jets, ocean currents). Large deviation theory for rare events in turbulence and climate. Non-equilibrium phase transitions in atmospheric/oceanic systems. Ensemble inequivalence in systems with long-range interactions. Scientific Awards : Three Physicists Prize Collaborations : Tapio Schneider, Antoine Venaille, J. Laurie, O. Zaboronski, B. Dubrulle, A. Venaille. Labs & Teams : Climate and Statistical Mechanics group at ENS de Lyon Future director of Laboratoire de Météorologie Dynamique (LMD/IPSL) Publications span climate dynamics, turbulence, statistical mechanics, and large deviation theory , with applications to Jupiter's atmosphere, ocean vortices, and non-equilibrium systems . His work often challenges paradigms like Tsallis non-extensive statistics.

• Statistical Physics
• Climate Dynamics
• Turbulence
• +5 more

Mats Danielsson is a Professor at KTH Royal Institute of Technology, leading the Medical Imaging research group within the Department of Particle Astrophysics and Medical Imaging. He has coordinated major projects like the ERC Advanced Grant for the Si3 project (starting 2024) and the EIC Pathfinder's 1MICRON project (starting 2025). His work focuses on advancing photon-counting detectors, X-ray technologies, and medical imaging systems. Notable recognitions include the 2024 KTH Innovation Award and the 2022 Hans Wigzell Science Prize. Danielsson has co-founded companies such as Sectra Mamea AB and C-RAD AB, and holds 135 patents with over 150 scientific publications. Education: MSc (1990) and PhD (1996) from KTH, followed by postdoctoral research at Lawrence Berkeley National Lab (1996–1998). He joined KTH in 1999, where he has held his current professorship since then. His research spans medical imaging, detector innovation, and radiation physics applications in healthcare. Research Interests: Development of high-resolution CT detectors, photon-counting technologies, compact X-ray sources, and AI-driven image processing. His recent work emphasizes minimizing radiation exposure while enhancing diagnostic precision through novel detector designs and machine learning algorithms. Key Projects: ERC Si3 project (3D detector for nuclear medicine), EIC 1MICRON (micrometer-scale imaging), and MedTechLabs collaboration with Karolinska Institutet. He has pioneered innovations such as MicroDose mammography and advanced photon-counting spectral CT systems. Awards: KTH Innovation Award (2024), Hans Wigzell Prize (2022), IVA membership (2017), Polhem finalist (2014), and INGVAR Award (2004). Advising & Grants: Over 150 scientific publications, 135 patents, and leadership in multi-institutional projects. Teaches courses on medical imaging and modern physics at KTH. Labs/Teams: Director of the Medical Imaging Group at KTH, co-founder of MedTechLabs, and collaborator across academia and industry in medical imaging innovation.

• Medical Imaging
• Radiation Detectors
• Biomedical Engineering
• +3 more