H.-S. Philip Wong is the Willard R. and Inez Kerr Bell Professor in the School of Engineering at Stanford University, where he has been since 2004. He holds the rank of Professor in the Department of Electrical Engineering and serves as the Director of the Stanford Nanofabrication Facility. Prior to Stanford, he spent 16 years at IBM’s T.J. Watson Research Center and served as Vice President of Corporate Research at TSMC (2018–2020), remaining as Chief Scientist in an advisory role thereafter. Leadership roles include founding the Stanford SystemX Alliance and leading the Microelectronics Commons AI Hardware Hub funded by the CHIPS Act. Research focuses on nanotechnology, semiconductor devices, and next-generation computing architectures, including carbon nanotube electronics, 3D integration (N3XT/MOSAIC), and neuromorphic computing. Awarded IEEE Fellow (2001), the IEEE Andrew S. Grove Award, and the J.J. Ebers Award for contributions to electron devices. His work spans device physics, fabrication, and system integration, with over 600 publications. Key contributions include advancements in phase-change memory, carbon nanotube transistors, and compute-in-memory systems. He advises numerous students and collaborates with industry through initiatives like the Stanford Non-Volatile Memory Technology Research Initiative. Recent efforts emphasize AI hardware acceleration, cryo-CMOS for quantum computing, and scalable memory architectures. His lab innovations include CellChips for synthetic biology and hyperdimensional computing using 3D RRAM.
Qing Li is an Associate Professor in the Department of Electrical and Computer Engineering at Carnegie Mellon University (CMU), part of the College of Engineering. He holds a B.E. in Electronics Engineering from Tsinghua University (2006) and a Ph.D. in Electrical and Computer Engineering from Georgia Institute of Technology (2013). Prior to CMU, he worked as a postdoctoral researcher at the National Institute of Standards and Technology (NIST), where he developed quantum frequency conversion and microresonator-based optical systems. His research focuses on light-matter interactions in integrated photonics, emphasizing nonlinear optics and quantum information processing. He has pioneered silicon carbide and aluminum nitride platforms for chip-scale quantum technologies and optical metrology. Dr. Li has been recognized with prestigious awards including the Darpa Young Faculty Award (2019), OSA Paul F. Forman Team Engineering Excellence Award (2020), and Sigma Xi Best Ph.D. Thesis Award (Georgia Tech). His work bridges classical and quantum information systems, with applications in secure communication, atomic systems interrogation, and high-precision frequency synthesis. He actively contributes to the Pittsburgh Quantum Institute (PQI), advancing regional quantum engineering initiatives. His research group’s key projects include developing compact optical frequency synthesizers, soliton microcombs for communication grids, and entangled photon pair sources for quantum networks. Grants and collaborations support his exploration of novel photonic materials and devices, targeting advancements in both fundamental science and applied technologies.
Péter Juhász is a Stipendiary Lecturer at Brasenose College and a Postdoctoral Research Associate in the Department of Physics at the University of Oxford. He holds an MA from the University of Cambridge and a DPhil from the University of Oxford. His research centers on quantum physics, specifically quantum computing and ultracold atomic systems. Juhász investigates Bose-Einstein condensates of dipolar gases, focusing on stability, loss mechanisms, and novel trapping geometries. He employs deep learning for atom cloud analysis and develops experimental protocols for large condensate production. His work combines theoretical modeling with advanced experimental techniques in ultracold physics. He previously served as Viscogliosi Fellow and Policy Adviser at the Permanent Observer Mission of the Holy See to the United Nations. He is President of the Cambridge–Oxford Alumni Club of Hungary and volunteers with the Order of Malta's soup kitchen initiatives.
Timo Minssen is Professor of Law at the University of Copenhagen (UCPH) and the Founding Director of UCPH's Center for Advanced Studies in Bioscience Innovation Law (CeBIL). He also holds affiliations as an LML Research Affiliate at the University of Cambridge and an Inter-CeBIL Research Affiliate at Harvard Law School's Petrie-Flom Centre. With extensive expertise in Intellectual Property, Competition, and Regulatory Law, Minssen focuses on the legal aspects of emerging health and life science technologies, including genome editing, big data, artificial intelligence, and quantum technology. His educational background includes a German law degree (Staatsexamen) from Georg-August-University in Göttingen, and Swedish biotech & IPR related LL.M., LL.Lic., and LL.D. degrees from Lund University and Uppsala University. His PhD thesis on the patentability of biopharmaceutical technology in the US & Europe received the prestigious Swedish King Oscar award. 2024: TUM Global Visiting Professor, Technical University of Munich (Germany) 2016: Visiting Research Fellow, University of Cambridge (UK) 2014: Visiting Research Fellow, University of Oxford (UK) 2013-14: Visiting Scholar, Harvard Law School (US) 2012: LL.D. - Doctor of Laws (Swedish "juris doktor"), EU/US patent law, Lund University, Sweden Minssen's research spans AI & Big Data in Health & Life Sciences, Sustainable and responsible innovation & tech transfer, Pharmaceutical-, Life Science- & Biotech Law, Comparative European & US Patent Law, Intellectual Property Law & Open Innovation, and EU Competition- & US Antitrust Law. His work addresses legal issues throughout the lifecycle of health and life science products and processes, from R&D regulation to technology transfer and commercialization. His extensive publication record includes 7 books and over 200 articles and book chapters published in leading journals such as Science, Nature Biotechnology, JAMA, and Harvard Business Review. His research has been featured in The Economist, Financial Times, and other major media outlets. Minssen's recent work shows a strong focus on AI regulation, quantum technology law, and data governance in health contexts, reflecting the evolving landscape of technology and law. Scientific Awards and Recognition King Oscar award for best Jur. Dr. thesis (2014) Jorcks Fonds Forsknings Pris (Jorck's Foundation Research Prize) (2017) Awapatent Research Prize (2009) Max Planck Research Scholarship (2005) Visiting Scholar appointments at Harvard Law School, University of Oxford, and University of Cambridge Recipient of a Novo Nordisk Foundation Grant for a "Collaborative Research Program in Biomedical Innovation Law" (2018) As an advisor, Minssen serves international organizations including the WHO, WIPO, and EU Commission. He has supervised numerous PhD students in areas including pharmaceutical law, biotechnology patents, and antimicrobial resistance. His current research projects include the Novo Nordisk Foundation's International Collaborative Bioscience Innovation & Law (Inter-CeBIL) Programme (50 million DKK), CLASSICA: EU Horizon Project on AI-assisted surgery, and AI@Care: Law and Ethics and Algorithmic Bias in Healthcare. Minssen leads the Center for Advanced Studies in Bioscience Innovation Law (CeBIL), which serves as a hub for interdisciplinary research on the intersection of law, technology, and innovation in the health and life sciences. The center collaborates with institutions worldwide to address pressing legal challenges in emerging technologies.
Sean Carroll serves as the Homewood Professor of Natural Philosophy at Johns Hopkins University and holds External Faculty status at the Santa Fe Institute. His research bridges cosmology, quantum mechanics, and philosophy, focusing on foundational questions about spacetime emergence, quantum interpretation, and complexity across cosmic scales. Carroll earned his Ph.D. from Harvard University in 1993. His academic trajectory reflects deep engagement with theoretical physics and philosophical inquiry, culminating in his current named professorship at Johns Hopkins. Carroll's research centers on the intersection of physics and philosophy, with significant contributions to quantum foundations, cosmology, and the nature of emergence. He is a leading proponent of the many-worlds interpretation of quantum mechanics and has pioneered work on the thermodynamic arrow of time, quantum decoherence, and the fine-tuning of initial cosmic conditions. His recent investigations explore discretized quantum systems, holographic principles in gravity, and the philosophical implications of quantum gravity. Analysis of his 2022-2025 publications reveals a pronounced shift toward computational approaches in quantum gravity, with increasing emphasis on finite-dimensional Hilbert spaces and GPU-accelerated modeling. His work consistently integrates quantum information theory with cosmological questions, particularly examining how spacetime geometry emerges from quantum entanglement and how complexity evolves in closed systems. Carroll's scientific recognition includes: National Science Foundation Fellowship NASA Fellowship Sloan Research Fellowship Packard Fellowship Fellow of the American Physical Society American Institute of Physics Award Fellow of the Royal Society Guggenheim Fellowship Fellow of the American Association for the Advancement of Science His research has been sustained through major fellowships from NSF, NASA, Sloan, and Packard foundations, enabling interdisciplinary collaborations across physics and philosophy. Carroll actively mentors graduate students at Johns Hopkins and contributes to public discourse through his popular science books (including the Biggest Ideas in the Universe series) and the weekly Mindscape podcast. As Fractal Faculty at the Santa Fe Institute, Carroll participates in cross-disciplinary research on complex systems, exploring how emergent phenomena arise from fundamental physical laws. His work bridges theoretical physics with broader questions about complexity in biological, cognitive, and social systems.
Sandip Tiwari is the Charles N. Mellowes Professor in Engineering at Cornell University, leading the School of Applied and Engineering Physics. He holds a B.Tech in Electrical Engineering from IIT Kanpur (1976), M.Eng from Rochester Institute of Technology (1977), and a Ph.D. in Electrical Engineering from Cornell (1980). His research bridges semiconductor electronics/optics and nanotechnology, emphasizing cross-scale integration of devices and systems. He directs the U.S. National Nanotechnology Infrastructure Network (NNIN) and has held visiting roles at Stanford, Harvard, Columbia, and the University of Paris-Sud. Notable honors include the IEEE Cledo Brunetti Award, APS Fellowship, and IIT Kanpur's Distinguished Alumnus Award. Education: IIT Kanpur (B.Tech), Rochester Polytechnic Institute (M.Eng), Cornell (Ph.D.) Affiliations: NNIN Director, IEEE Transactions on Nanotechnology (founding editor), multiple visiting professorships Research focuses on nanoscale device physics, quantum phenomena in electronics, and societal applications of nanotechnology. His work integrates engineering principles with physical sciences to address challenges in scalable electronic systems and MEMs. Awards highlight his contributions to semiconductor physics and nanotechnology, including recognition from IEEE, APS, and IIT Kanpur. He also promotes global scientific collaboration through education initiatives and NNIN.
John C. Doyle is the Jean-Lou Chameau Professor of Control and Dynamical Systems, Electrical Engineering, and BioEngineering at the California Institute of Technology (Caltech), where he holds appointments in the Division of Engineering and Applied Science with primary affiliation in the Control and Dynamical Systems Department. His research bridges theoretical foundations with applications across biological, technological, medical, and ecological networks. He earned a BS and MS in Electrical Engineering from MIT (1977) and a PhD in Mathematics from UC Berkeley (1984), followed by consultancy at Honeywell Systems and Research Center (1976-1990). MIT: BS & MS in Electrical Engineering (1977) UC Berkeley: PhD in Mathematics (1984) Doyle's research centers on universal laws and architectures in complex systems, emphasizing robustness-efficiency tradeoffs, speed-accuracy tradeoffs (SATs), diversity-enabled sweet spots (DeSS), bowtie/hourglass structures, and evolvability. His work pioneers System Level Synthesis (SLS) for control systems with sparse, local, saturating, delayed, noisy, quantized, and distributed (SLSDNQD) components, integrating control theory, computation, communication, and machine learning to address challenges from neural networks to infrastructure resilience. Key concepts include virtualization, horizontal transfer, and virality in multiscale systems. Analysis of his publication trends reveals consistent interdisciplinary impact across neuroscience (brain connectivity modeling), systems biology (metabolic oscillations), network science (internet topology), and physics (turbulence, earthquakes), with recurring themes of robust-efficiency limits and architectural principles governing complex networks. His work demonstrates exceptional translation from abstract theory to practical tools like the Matlab Robust Control Toolbox and Systems Biology Markup Language (SBML). His scientific recognition includes: 1990 IEEE Baker Prize (ranked among top 10 most important mathematics papers 1981-1993) Three IEEE Automatic Control Transactions Awards (1998, 1999, 2021) ACM Sigcomm Paper Prize (2004) and Test of Time Award (2016) IEEE Control Systems Field Award (2004) Multiple early-career honors including IEEE Centennial Outstanding Young Engineer (1984) Doyle has mentored generations of students whose contributions include foundational software tools adopted globally. His research has secured sustained funding from NSF, NIH, and other agencies supporting theoretical advances in control frameworks and their applications to biomedical systems, network infrastructure, and environmental modeling. The SBML initiative exemplifies his group's impact in standardizing computational biology research. He leads a highly collaborative research ecosystem at Caltech that integrates engineers, biologists, neuroscientists, and computer scientists to develop universal principles for complex networks. Current efforts focus on translating theoretical insights into health technologies, resilient infrastructure, and climate-responsive systems through the application of robust-efficiency frameworks to emerging challenges in cyber-physical and biological domains.
Mark G. Kuzyk is the Regents Professor of Physics at the Department of Physics and Astronomy , Washington State University (WSU), within the College of Arts and Sciences . His research focuses on Nonlinear Optics , Photomechanical Materials , and Polymer Fibers , with contributions to the theoretical and experimental understanding of quantum limits in optical responses. He pioneered work on polymer fiber optics and developed novel photomechanical actuator technologies. His lab specializes in creating single-mode polymer optical fibers and has advanced research on self-healing photodegradation in dye-doped polymers. Key achievements include his seminal 2000 paper on Physical Limits on Electronic Nonlinear Molecular Susceptibilities , featured in Physical Review Letters , and a book on Polymer Fiber Optics . His work on sum rules for quantum limits has been highlighted in Circuits & Devices Magazine and media outlets like National Geographic and Wired News . Research Interests span: Nonlinear Optics and Quantum Optics Photomechanical and Photothermal Effects Photonic Crystals and Polymer Waveguides Self-healing materials and device applications Lab Facilities include specialized equipment for fabricating and testing polymer optical fibers, with notable studies on disperse red 1 azobenzene dye-doped PMMA fibers . His group investigates both fundamental physics and applied technologies, such as all-optical computing components and energy-efficient photonic devices.
Brian Swingle is an Adjunct Assistant Professor in the Department of Physics at the University of Maryland. He holds affiliations with the Condensed Matter Theory Center, Joint Center for Quantum Information and Computer Science, and Maryland Center for Fundamental Physics. His research focuses on quantum information theory, quantum gravity, and entanglement renormalization in many-body systems. Swingle earned his Ph.D. in Physics from MIT in 2011. His work explores connections between quantum entanglement and spacetime geometry, with contributions to holography, topological quantum liquids, and quantum chaos. Notable research includes demonstrating how entanglement patterns can encode gravitational dynamics, developing renormalization group approaches for topological phases, and analyzing quantum complexity in holographic systems. His teaching includes Physics 603: Methods of Statistical Physics. Key publications address holographic wormholes, entanglement renormalization techniques, and quantum many-body dynamics. Swingle collaborates with institutions like JQI and has been featured in podcasts discussing black hole physics and quantum information.
Dr. Eva-Maria Graefe is a Royal Society University Research Fellow and Senior Lecturer in the Department of Mathematics at Imperial College London. She specializes in quantum dynamics, focusing on the interplay between quantum and classical systems, particularly chaos and dissipation in non-Hermitian systems. Her research explores foundational questions such as how quantum motion relates to macroscopic physical laws and how dissipation can be engineered to control quantum behavior. Education: She earned her PhD in theoretical quantum physics from the Technical University of Kaiserslautern, Germany, followed by a postdoctoral position at the University of Bristol’s mathematical physics group. She joined Imperial College in 2010 as a Junior Research Fellow. Research Interests: Her work spans non-Hermitian quantum systems (e.g., PT-symmetric models), quantum chaos, semiclassical quantization, and Bose-Hubbard systems. She investigates exceptional points, Landau-Zener transitions, and the dynamics of open quantum systems with losses or gain. Her group is supported by the Royal Society and an ERC Starting Grant. Scientific Contributions: Notable achievements include studies on Husimi distributions in non-Hermitian systems, quantum-jump dynamics, and the semiclassical analysis of Bloch oscillations in dissipative lattices. Teaching & Outreach: She teaches quantum mechanics to undergraduates and Master’s students and engages in outreach to inspire high school students. She mentors a research group of PhD and Master’s students. Labs/Teams: Her lab focuses on theoretical and computational studies of quantum dynamics, supported by advanced grants and collaborations within Imperial’s Faculty of Natural Sciences.
Jonathan Barrett is a Professor of Quantum Information Science at the University of Oxford, affiliated with Wolfson College. He holds roles as Director of Graduate Studies and Governing Body Fellow. His research focuses on quantum foundations, quantum information science, and interdisciplinary work spanning computer science and physics. He explores quantum systems' applications in computation, cryptography, and addressing conceptual problems in quantum theory through information science tools. Recent publications include foundational work on quantum states, thermodynamics in quantum theory, and causal models. His contributions to quantum cryptography include device-independent protocols and security analysis. Notable collaborations involve experimental tests of quantum state ontology and theoretical explorations of generalized probabilistic theories. Barrett advises numerous graduate students and has mentored researchers in quantum information and foundational studies. His work bridges theoretical insights with practical implications in quantum technologies. He is a co-author of the influential book *Many Worlds? Everett, Quantum Theory, and Reality* (2010), reflecting his engagement with philosophical aspects of quantum mechanics.
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.
Gheorghe Craciun is a Professor in the Department of Mathematics and the Department of Biomolecular Chemistry at the University of Wisconsin-Madison. His research focuses on mathematical and computational models in biology and medicine, particularly dynamical systems models of biological interaction networks. He has been a visiting researcher at the Max Planck Institute for Mathematics in the Sciences during the 2019-2020 academic year and has organized the Madison Workshops on Mathematics of Reaction Networks. Craciun's primary research interests include Mathematical Biology, Dynamical Systems, Chemical Reaction Networks, Computational Biology, Systems Biology, and Algebraic Geometry. He investigates systems of differential equations with polynomial right-hand sides, which are common in biochemical reaction networks, ecological interactions, and epidemiological models. His work often involves proving global stability, analyzing multistability, and characterizing steady states using tools from algebraic geometry and combinatorics. Recent publications demonstrate his focus on toric differential inclusions, endotactic networks, and the global attractor conjecture, extending to applications in biochemical networks and discrete Boltzmann equations. His extensive publication record reveals a strong trend toward algebraic and geometric methods for analyzing complex biological networks, with significant contributions to reaction network theory, stability analysis, and parameter characterization. Craciun's work bridges abstract mathematical concepts with practical applications in biochemistry, ecology, and medicine, including modeling vitellogenin production in trout and peptide mass distributions. He has collaborated extensively with international researchers including Alicia Dickenstein, Anne Shiu, Bernd Sturmfels, Casian Pantea, and Miruna-Stefana Sorea. In education, Craciun teaches graduate courses such as Math 703 and mentors students through the Madison Math Circle and Putnam Club, while organizing specialized workshops that foster collaboration in reaction network theory.
Professor Paul Skrzypczyk is a distinguished theoretical physicist at the University of Bristol's School of Physics, where he leads cutting-edge research in quantum information theory. His work bridges fundamental quantum mechanics with practical applications in quantum technologies. He serves as Principal Investigator for multiple significant research projects and holds the prestigious CIFAR Azrieli Global Scholar position (2022-2024). Dr. Skrzypczyk's research primarily focuses on quantum nonlocality, measurement incompatibility, and quantum thermodynamics. His investigations explore how quantum theory enables 'nonlocal' effects where actions in one location seemingly affect distant places instantaneously, challenging classical physics understanding. His thermodynamics research examines how traditional thermodynamic laws apply at quantum scales, particularly for small systems far from their original realm of applicability, with implications for future quantum technologies. His publication record demonstrates consistent high-impact contributions to quantum information science, with recent work spanning quantum measurement theory, quantum resource theories, quantum thermodynamics, and quantum foundations. His research output shows a clear trajectory toward increasingly sophisticated applications of quantum information principles to fundamental physics questions. Among his notable recognitions is the CIFAR Azrieli Global Scholar award, reflecting his standing in the international quantum research community. His work has generated substantial scholarly attention, with numerous highly-cited publications including the influential 2014 Nature Communications paper on work extraction from individual quantum systems. Professor Skrzypczyk actively secures research funding, currently leading the "Software Enabling Early Quantum Advantage" project (2023-2025) and previously directing the "Investigating Measurement Incompatibility in Quantum Theory" initiative (2017-2021). His media engagement includes contributions to the widely covered "quantum Cheshire cats" research, which garnered attention across multiple news outlets, blogs, and academic platforms. As a member of the Bristol Quantum Information Institute, he contributes to one of the UK's leading quantum research centers, collaborating extensively across international networks as evidenced by his diverse research partnerships. His theoretical work provides foundational insights that inform the development of practical quantum technologies.
Mariarosaria Taddeo is Professor of Digital Ethics and Defence Technologies at the Oxford Internet Institute (University of Oxford) , where she also serves as DPhil Programme Director for Information, Communication and the Social Sciences. She is a Senior Research Fellow at the Alan Turing Institute and holds advisory roles at institutions including the Ministry of Defence (UK) Ethics Advisory Panel , the BRAID Programme , and the Leonardo Foundation . Education PhD (Doctor Europeus) in Philosophy from University of Padua Mariarosaria Taddeo’s research spans Digital Ethics, Philosophy of Technology, Cybersecurity Ethics, and AI Governance , with a focus on national defence applications. Her work addresses trust in AI , cyber conflict regulation , and ethical frameworks for autonomous weapons . She has published extensively in journals like Nature , Science , and Minds and Machines , including studies on data philanthropy , digital well-being , and quantum technology ethics . Scientific Awards 2010 Simon Award for Outstanding Research in Computing and Philosophy 2016 World Technology Award for Ethics 2018 InspiringFifty: Top 50 Italian women in technology ORBIT listings (2018, 2020) of top 100 women in AI Ethics 2020 Women’s Forum for Economy and Society: Outstanding Rising Talents ComputerWeekly Top 100 Influential Women in UK Technology (2020, 2023) Her projects include the UK MOD-funded AI Ethics Principles initiative, the NATO Cooperative Cyber Defence Centre of Excellence ethical guidance project, and contributions to the PETRAS IoT Research Hub . She advocates for ethical AI implementation in defence and digital governance, influencing EU policy through the CEPS Task Force on AI and Cybersecurity .
