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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

Hyunghoon Cho is an Assistant Professor at Yale School of Medicine in the Department of Biomedical Informatics & Data Science, with a secondary appointment in the Department of Computer Science. He received his PhD in Electrical Engineering and Computer Science from MIT (2019) and MS/BS in Computer Science from Stanford University (2013). His research focuses on computational challenges in biomedical data privacy, single-cell genomics, and network biology. Assistant Professor (Primary): Biomedical Informatics & Data Science Assistant Professor (Secondary): Computer Science Appointments: Yale School of Medicine | Broad Institute (Schmidt Fellow) Research Themes: Privacy-Enhancing Technologies for genomic and health data Scalable AI/ML tools for omics data analysis Structured biological modeling for system-level discovery His work includes secure GWAS, transcriptomic privacy assessment, and sfkit - a federated genomic analysis toolkit. He received the NIH Director's Early Independence Award and leads NSF-funded projects on confidential genome analytics. Awards: NIH Director's Early Independence Award Lab Members: Haris Smajlović (Postdoc), Vincent Angelo (CBB MS), Denis Loginov (Senior Software Engineer), Lucy Zheng (CBB PhD)

• Biomedical Data Privacy
• Genomics
• Machine Learning
• +3 more

Silviu Pufu is a Professor of Physics at Princeton University, where he earned both his A.B. (2007) and Ph.D. (2011) in Physics. Prior to his faculty position, he was a Pappalardo Postdoctoral Fellow at MIT (2011–2013). His research focuses on quantum field theory, string theory, and gravity, with emphasis on conformal field theory, gauge/gravity duality, and lattice gauge theory. He has received the Alfred P. Sloan Research Fellowship (2017) and led the Simons Collaboration for Nonperturbative Bootstrap (2016–2023). His work explores advanced topics such as AdS/CFT correspondence, M-theory corrections, and non-perturbative bootstrap methods. Pufu advises three graduate students: Ross Dempsey, Debaditya Pramanik, and Benjamin Søgaard. His research outputs span theoretical frameworks like super-Yang-Mills theories, M-theory orbifolds, and lattice Hamiltonian formulations of QCD. His 2020–2025 publications highlight contributions to bootstrap techniques, holographic calculations, and precision studies of strongly coupled systems.

• Quantum Field Theory
• String Theory
• Gravity
• +3 more

Joey W Huston is a Professor at the Department of Physics & Astronomy, Michigan State University, and a Visiting Professor at the Institute for Particle Physics Phenomenology, Durham University. He has over 600 publications with >30,000 citations, including 9 papers with >500 cites each. Positions: MSU Research Foundation Professor (1998-present), Visiting Professor at Durham (2003-present) Education: Ph.D. (1983) and B.S. (1976) from University of Rochester and Carnegie-Mellon University His research focuses on Quantum Chromodynamics (QCD) , Parton Distribution Functions , and Jet Physics . He contributes to Higgs Boson studies, Supersymmetry , and Dark Matter Searches via the ATLAS experiment at the LHC. Recent articles (2025) highlight advancements in Jet Flavour Tagging , Top-Quark Mass Measurement , and Exotic Higgs Decays , alongside computational innovations like Neural Simulation-Based Inference and Cloud Resource Optimization . Scientific Awards: APS Fellow (2025), Distinguished Visitor by Scottish Universities Physics Alliance (SUPA) Prof. Huston has co-spoken for the CTEQ collaboration and organized workshops at Les Houches, Kavli Institute, and Fermilab. He authored the Handbook on Perturbative QCD and is writing a book on QCD at the LHC for Oxford University Press.

• High Energy Physics
• Quantum Chromodynamics (QCD)
• Particle Phenomenology
• +7 more

Clay Córdova is an Associate Professor at the University of Chicago, associated with the Enrico Fermi Institute, James Franck Institute, Kadanoff Center, and Kavli Institute. His research focuses on theoretical physics, particularly quantum field theory, non-invertible symmetries, and their applications in particle and condensed matter physics. Córdova’s work explores topological phases, gauge theories, and string theory, with recent contributions to non-invertible symmetry classification and their role in phase transitions. His research interests include categorical symmetries, topological defects, and anomaly matching in quantum field theories. He has pioneered studies on soliton-particle degeneracies, anyon condensation mechanisms, and anomalies in non-invertible symmetry frameworks. Córdova’s work bridges high-energy physics with condensed matter systems, often employing advanced mathematical techniques from category theory and algebraic topology. His 2023 Sloan Research Fellowship highlights recognition of his contributions. Key research trends span non-invertible symmetries across dimensions, topological field theory applications, and interdisciplinary methods combining machine learning with lattice gauge theory. Current projects include exploring duality defects, gapped phase obstructions, and symmetry-enriched phases in (3+1)D systems.

• Theoretical Physics
• Quantum Field Theory
• Particle Physics
• +3 more

David Simmons-Duffin is a Professor of Theoretical Physics at the California Institute of Technology (Caltech), where he has held positions since 2016. He is part of the Division of Physics, Mathematics and Astronomy, contributing to the Physics Department. His career progression includes roles as Visiting Associate (2016–17), Assistant Professor (2017–20), and Associate Professor (2020–21) before becoming full Professor in 2021. Education: A.B. and A.M. from Harvard University (2006), CASM from the University of Cambridge (2007), and Ph.D. from Harvard University (2012). His research focuses on conformal field theory (CFT), bootstrap methods, quantum field theory, and AdS/CFT correspondence. Key areas include precision computations in strongly coupled systems, critical phenomena, and applications to holography and quantum gravity. Research highlights include advancing the conformal bootstrap program, analyzing CFT data in 3D Ising models, and exploring connections between CFTs and gravitational theories. His work often bridges theoretical frameworks with numerical methods, yielding insights into operator product expansions (OPE), spectral gaps, and causality constraints. Affiliations include the Institute for Quantum Information and Matter (IQIM) and other Caltech research centers. His contributions have shaped modern approaches to understanding universality in critical systems and the geometric aspects of quantum field theories. Notable collaborations involve high-precision calculations, bootstrap island techniques, and studies of thermal QFT and light-ray operators. His work emphasizes interdisciplinary methods, combining analytic tools with computational advancements to tackle complex theoretical problems.

• Theoretical Physics
• Conformal Field Theory
• Bootstrap Methods
• +5 more

John Laiho is an Associate Professor in the Department of Physics at Syracuse University, part of the College of Arts & Sciences. His research focuses on high energy particle physics and lattice field theory, particularly lattice quantum chromodynamics and quantum gravity applications. He holds a PhD from Princeton University (2004) and has held academic positions at Fermilab, Washington University in St. Louis, and the University of Glasgow before joining Syracuse in 2013. Education: PhD in Physics, Princeton University (2004) BA in Physics and Mathematics, Rhode Island College (1998, summa cum laude) Research Interests: Specializes in lattice field theory techniques for studying quark-flavor physics, beyond the Standard Model physics, and quantum gravity. Recent work includes dynamical dark energy models and improved lattice quantum gravity simulations. Grants & Collaborations: DOE-funded project on theoretical particle physics and cosmology (2013–2025) CUSE grant exploring quantum information and fundamental physics (2018–2023) Teaching Highlights: Teaches advanced mechanics, relativity, and computational physics courses. Supervises independent studies and has taught a range of undergraduate/graduate physics topics.

• High Energy Particle Physics
• Lattice Field Theory
• Quantum Chromodynamics
• +3 more

Martha Constantinou is an Associate Professor of Physics at Temple University, specializing in Theoretical/Computational Nuclear Physics with a focus on Lattice Quantum Chromodynamics (QCD). Her research addresses fundamental questions in hadron structure, including nucleon spin content and proton radius puzzles, leveraging supercomputing resources. She leads a group conducting advanced numerical simulations at major computational facilities. Constantinou holds a Ph.D. in Theoretical Computational Physics (University of Cyprus, 2008) and a BS in Physics (University of Cyprus, 2003). Her work aligns with the upcoming Electron-Ion Collider (EIC) at Brookhaven National Lab, aiming to explore nucleon structure and dark matter connections. Key research areas include generalized parton distributions (GPDs), axial form factors, and high-performance computing applications. Notable awards include the US Department of Energy Early Career Award (2019) and the Selma Lee Bloch Brown Professorship (2020). Her publications (15 most recent listed) emphasize Lattice QCD advancements, with contributions to GPDs, quark-gluon momentum partitioning, and EIC theory. She actively promotes STEM outreach and public engagement through collaborative initiatives.

• Quantum Chromodynamics (QCD)
• Theoretical/Computational Nuclear Physics
• Lattice Quantum Chromodynamics
• +4 more

Michael Kordell is a Lecturer at Texas A&M University, specializing in high-energy physics and particle physics. His research focuses on jet quenching, quark-gluon plasma dynamics, and Bayesian analysis of jet-medium interactions. He collaborates extensively with the JETSCAPE framework to simulate jet evolution in heavy-ion collisions. Key contributions include studies on photon-triggered jets, hybrid hadronization models, and multistage energy-loss mechanisms. His work spans 2013–2025, with over 30 publications. Major topics include jet substructure analysis, heavy flavor propagation in nuclear media, and parameter estimation techniques for QGP transport coefficients. His studies utilize both theoretical models and experimental data from small and large collision systems. Notable collaborations involve the JETSCAPE project, focusing on computational frameworks for jet shower simulation and in-medium effects. His research bridges particle physics with nuclear physics, particularly in understanding medium-induced effects on jet dynamics.

• High-Energy Physics
• Particle Physics
• Quark-Gluon Plasma Dynamics
• +3 more

Phiala E. Shanahan is the Class of 1957 Career Development Associate Professor of Physics at the Massachusetts Institute of Technology (MIT). Her research focuses on theoretical nuclear and particle physics, particularly the structure of hadrons and nuclei from QCD. She integrates machine learning to overcome computational challenges in QCD studies, pioneering techniques for lattice gauge theory simulations. Affiliated with MIT's Center for Theoretical Physics, Laboratory for Nuclear Science, and the NSF AI Institute for Fundamental Interactions (IAIFI), she also collaborates with Jefferson Lab and the Electron-Ion Collider project. Education: BSc (2012) and PhD (2015) from the University of Adelaide. Career: Postdoctoral Associate at MIT (2015–2017), then joint position as Assistant Professor at College of William & Mary and Senior Staff Scientist at Jefferson Lab (2017–2018) before joining MIT in 2018. Research Interests: Gluon structure in nuclei, strange quarks in protons/nuclei, and machine learning applications. Her work predicts gluon distributions testable at Jefferson Lab and the Electron-Ion Collider, with implications for dark matter detection via precision calculations. She also explores nuclear forces and symmetry-breaking effects in QCD. Awards: 2023 South Australian Woman of the Year, 2022 Ruby Payne-Scott Medal, 2021 Maria Goeppert Mayer Award (APS), 2020 Kenneth G. Wilson Award, 2018 NSF CAREER Award, 2016 Bragg Gold Medal. Grants & Labs: DOE Early Career Award (2020), IAIFI affiliate, MIT Center for Theoretical Physics. Active in public engagement, including a Perimeter Institute lecture on 'The Building Blocks of the Universe.'

• Particle Physics
• Nuclear Theory
• Quantum Chromodynamics (QCD)
• +3 more

Riyadh Baghdadi is an Assistant Professor of Computer Science at New York University Abu Dhabi and a Global Network Assistant Professor at the Tandon School of Engineering, NYU. He is also a Research Affiliate at MIT, where he previously completed a postdoctoral fellowship. His academic journey includes a PhD and Master’s from Sorbonne University (INRIA/UPMC) and an engineering degree from Ecole Supérieure d’Informatique in Algiers. Assistant Professor, NYU Abu Dhabi Global Network Assistant Professor, Tandon School of Engineering, NYU Research Affiliate, MIT His research lies at the intersection of compilers, programming languages, and applied machine learning, with a focus on developing advanced compiler techniques for deep learning, high-performance computing, and data-parallel algorithms. He is the lead developer of the Tiramisu compiler , a polyhedral compiler designed to optimize dense and sparse deep learning workloads across diverse architectures including CPUs, GPUs, and FPGAs. Riyadh’s recent publications demonstrate a strong trend toward integrating machine learning into compiler optimization—particularly in cost modeling, loop scheduling, and automatic code generation. His work addresses critical challenges in optimizing sparse neural networks and enabling efficient execution on resource-constrained platforms like smartphones and autonomous vehicles. Outstanding Paper Award, MLSys 2021 He has mentored 18 students and taught core courses such as Computer Systems Organization and Machine Learning at NYUAD. His service to the academic community includes program committee roles at MLSys, IPDPS, ECOOP, and PACT, as well as organizing workshops on polyhedral compilation and machine learning for hardware-software co-design. Riyadh actively contributes to open-source projects and collaborates with industry leaders including Google, Facebook, NVIDIA, and Intel. He leads the development of Tiramisu and collaborates on DSLs like GraphIt and Halide, focusing on performance portability and automation in compiler design.

• Compilers
• Programming Languages
• Deep Learning
• +9 more

Jesse Liu is an Assistant Professor of Physics at the New York University College of Arts & Science , joining in Spring 2025. He collaborates with the ATLAS Experiment at CERN and leads the NYU Experimental Particle Physics group. Research Interests: Liu's work bridges fundamental particle physics and detector innovation. He investigates Tau-lepton electromagnetic dipoles via photon collisions at the LHC High-luminosity LHC silicon tracker upgrades Dark matter searches through collider experiments and the BREAD axion detection project Cosmic ray physics using ATLAS data Recent Publications focus on tau magnetic moment measurements, detector thermal stress mitigation, and cosmic ray signature analysis. His work has been featured in Phys. Rev. D , Phys. Rev. Lett. , and JINST . Outreach & Mentorship: Liu actively engages in public science communication through Pint of Science talks The Conversation articles School visits to CERN First-gen student mentorship at NYU CU*iP Contact: Office at 726 Broadway, Room 852, New York City. Email: jesse.liu2@nyu.edu

• Particle Physics
• High Energy Physics
• Dark Matter
• +5 more

Thomas Cohen is a Professor and Associate Chair in the Department of Physics at the University of Maryland. He holds a B.A. from Harvard College (1980) and a Ph.D. from the University of Pennsylvania (1985). A Fellow of the American Physical Society, he was also an NSF Presidential Young Investigator from 1990 to 1995. His teaching accolades include the Celebrating Teaching Award, Dean's Award for Excellence in Teaching, and Distinguished Scholar-Teacher Award. Cohen's research focuses on quarks, hadrons, and nuclei, with affiliations to the Maryland Center for Fundamental Physics. His work explores QCD dynamics, exotic hadrons, and quantum algorithms for particle physics. Recent contributions include studies on gauge invariance, heavy-ion collisions, and adiabatic quantum computing. His research spans theoretical particle physics, nuclear physics, and computational methods, with notable publications on QCD phase diagrams, tetraquark states, and adiabatic state preparation. Cohen actively collaborates on projects involving quantum simulations and high-energy physics phenomena. His awards reflect both scholarly and pedagogical excellence.

• Quarks
• Hadrons
• Nuclei
• +3 more

Aneta Iordanova is a Lecturer at the University of Illinois at Chicago (UIC), affiliated with the College of Engineering . She can be contacted at aiorda1@uic.edu , located in SES 2344 . Her research lies at the intersection of Particle Physics , Nuclear Physics , and Quantum Chromodynamics (QCD) , focusing on Heavy-Ion Collisions , Quark-Gluon Plasma , and Experimental Physics . Key trends in her work include measurements of Elliptic Flow , Jet Substructure , Meson Production , and Direct Photon Anisotropy across varying collision energies and rapidities. Dr. Iordanova's publications highlight her expertise in High-Energy Physics , with a focus on Collision Dynamics , Hadron Correlations , and Parton Energy Loss . Her work spans both Relativistic Heavy-Ion and Proton-Proton Collisions , utilizing data from experiments like PHENIX at RHIC.

• Particle Physics
• High-Energy Physics
• Nuclear Physics
• +3 more

Mitchell Wayne is a Professor in the Department of Physics and Astronomy at the University of Notre Dame. His research centers on proton-proton collisions at the CMS detector at CERN's Large Hadron Collider, including Higgs boson studies and searches beyond the Standard Model. Honors include American Physical Society Fellowship and multiple teaching awards. His detector R&D focuses on fiber tracking, calorimetry, and Silicon Photomultipliers for CMS upgrades. Awards: Fellow of APS, Joyce Teaching Award (2019), Shilts-Leonard Teaching Award (2002), Kaneb Teaching Award (1999) Student Advising: Supervised 5 PhD students in particle physics and detector development

• Particle Physics
• High Energy Physics
• Detector Development
• +3 more