Find Academic Supervisors

Ali YazdaniView profile

Adjunct Professor

• Condensed Matter Physics
• Quantum Fractals
• Topological Insulators
• +5 more

Ali Yazdani is an Adjunct Professor at the University of Illinois Urbana-Champaign's Grainger College of Engineering, Department of Physics, and Director of the Princeton Center for Complex Materials at Princeton University. His research focuses on quantum condensed matter physics, leveraging scanning tunneling microscopy (STM) and spectroscopy to explore novel quantum phases in materials such as graphene, twisted bilayer graphene, and topological insulators. Key achievements include the first direct observation of Hofstadter's fractal energy spectrum in quantum materials (2025), studies on Majorana fermions in atomic chains, and investigations into strongly correlated Chern insulators. His work bridges theoretical predictions with experimental validation, emphasizing quantum materials' topological and correlated properties. Affiliations: Princeton University, Department of Physics; University of Illinois Urbana-Champaign, Grainger College of Engineering. Research Themes: Quantum fractals, topological insulators, superconductivity, Majorana fermions, moiré materials. Research Summary: Dr. Yazdani’s lab employs advanced STM techniques to visualize electronic wavefunctions and study correlated phases. Notable projects include: - Visualization of Hofstadter’s butterfly in twisted bilayer graphene. - Discovery of valley skyrmions in graphene quantum Hall ferromagnets. - Unconventional superconductivity in magic-angle graphene. - Development of methods to detect Majorana zero modes. Labs/Teams: Yazdani Lab at Princeton University focuses on quantum materials and topological phases, collaborating with theorists and experimentalists globally.

Majid GhayoomiView profile

Professor

• Geotechnical Engineering
• Earthquake Engineering
• Unsaturated Soil Mechanics
• +4 more

Majid Ghayoomi is a Professor and Civil Engineering Undergraduate Coordinator in the Department of Civil and Environmental Engineering at the University of New Hampshire's College of Engineering and Physical Sciences. His research focuses on geotechnical engineering and geomechanics, particularly unsaturated soil mechanics and geotechnical earthquake engineering. He teaches courses such as Soil Mechanics, Engineering Behavior of Soils, and Geotechnical Modeling. Dr. Ghayoomi holds a Ph.D. from the University of Colorado at Boulder, an M.S. from Sharif University, and a B.S. from the University of Tehran. His research interests include bioremediation, hazards mitigation, soil-structure interaction, and materials testing. He leads the Geotechnical Modeling and Innovation lab, advancing bio-inspired solutions and remote sensing applications in geotechnical systems. His recent work emphasizes climate change impacts on seismic resilience, microbial stabilization of soils, and satellite-based soil moisture monitoring. Key contributions include studies on liquefaction mitigation, seismic site response, and infrastructure vulnerability in dynamic environments. His research spans theoretical, experimental (centrifuge modeling), and computational approaches to address complex geotechnical challenges.

• Density Functional Theory
• Quantum Chemistry
• Solar Cells
• +4 more

Matteo Cagnoni is a Researcher at the Department of Electronics and Telecommunications (DET) of Politecnico di Torino . His research focuses on Density Functional Theory , Quantum Chemistry , and Thermoelectric Materials for Solar Cells . He is actively involved in the European Union’s MIRACLE project , developing photonic meta-concrete for radiative cooling solutions. Research Interests: Development of cement-based radiative coolers for solar cell thermal management Computational discovery of intermediate-band solar cell materials Electronic properties of semiconductors and insulators Teaching: Electronic transport in crystalline and organic semiconductors Advanced experimental physics Scientific Contributions: Matteo has published extensively on radiative cooling, perovskite/silicon tandem solar cells, and thermoelectric materials. His work spans journals like Nature Communications , Advanced Functional Materials , and Progress in Photovoltaics , with a focus on simulation engineering , photonic devices , and energy-efficient materials . Labs & Collaborations: He works within the Microwave and Optoelectronics Group (MOG) at DET, collaborating with international institutions on EU-funded projects.

Jan von DelftView profile

Professor

• Correlated electron systems
• Quantum impurity models
• Quantum criticality
• +7 more

Jan von Delft is a Professor (chair) at Ludwig-Maximilians-University (LMU) Munich, working in the Faculty of Physics within the Chair of Theoretical Solid State Physics. His research group consists of postdocs, PhD students, and master's students working on various aspects of strongly correlated electron systems, with physical space located at Theresienstr. 37 (Room A420) in Munich. von Delft's research focuses on correlated electron and spin systems, with particular interest in dynamical and transport properties, quantum impurity models, Hund metals, unconventional superconductors, quantum magnets, and quantum criticality. His methodological expertise includes many-body field theory, parquet formalism (FRG), DMFT, and tensor networks (NRG, DMRG, PEPS, XTRG, etc.). His work bridges theoretical concepts with computational approaches to understand complex quantum phenomena in condensed matter systems. He has developed a distinctive emphasis on real-frequency calculations and numerical methods for studying quantum critical phenomena. Analysis of von Delft's recent publications reveals a strong focus on developing and applying advanced computational methods to study strongly correlated electron systems. His group has made significant contributions to numerical renormalization group techniques, tensor network methods, and the parquet formalism for calculating real-frequency correlation functions. His research shows increasing sophistication in handling quantum criticality, particularly in heavy-fermion systems, and exploring unconventional superconductivity mechanisms. Notably, his group has developed specialized computational libraries like KeldyshQFT to make these advanced methods more accessible to the broader physics community. von Delft actively mentors a substantial research group consisting of one postdoc (Markus Scheb), eleven PhD students (Anxiang Ge, Sasha Kovalska, Mathias Pelz, Marc Ritter, Nepomuk Ritz, Changkai Zhang, Markus Frankenbacher, Felipe Picoli, Simone Fodera, Ming Huang), and two master's students (Ester Pages, Gianluca Grosso). His detailed Style Guide for scientific communication demonstrates his commitment to high-quality research presentation. The group appears well-funded with ongoing research activities spanning theoretical development, computational implementation, and physical interpretation of complex quantum phenomena.

Yuan CaoView profile

Assistant Professor

• Physical Electronics
• MEMS
• Low-Dimensional Materials
• +5 more

Yuan Cao is an Assistant Professor of Electrical Engineering and Computer Science at the University of California, Berkeley, since July 2024. He completed his BSc in Applied Physics at the University of Science and Technology of China (2014), followed by an MS (2016) and PhD (2020) in Electrical Engineering at MIT. Before joining Berkeley, he was a Junior Fellow at Harvard University (2021–2024). His research focuses on the electrical properties of low-dimensional materials and their applications via nanotechnology, including MEMS. Notable achievements include pioneering work on twisted graphene superconductivity, recognized as a Nature’s 10 highlight (2018) and Physics Breakthrough of the Year . He has received awards such as the Sackler Prize in Physics (2020), McMillan Award (2021), and NSF CAREER Award (2025). His research integrates experimental physics, nanofabrication, and low-temperature transport to explore novel quantum phenomena in 2D materials. Recent breakthroughs include the MEGA2D platform, an on-chip MEMS system enabling precise manipulation of 2D materials. Collaborations with Prof. Nguyen secured a $1M DARPA NIMBUS contract, and his NSF CAREER award funds studies on reconfigurable graphene superlattices. Education: PhD, Electrical Engineering, MIT (2020) MS, Electrical Engineering, MIT (2016) BSc, Applied Physics, USTC (2014) Awards: NSF CAREER Award (2025) Sackler Prize in Physics (2020) McMillan Award (2021) TIME 100 Next (2019) Grants & Funding: $1M DARPA NIMBUS Program Contract (2023) $810K NSF CAREER Award (2025) Prof. Cao’s lab actively recruits motivated graduate students and postdocs with expertise in 2D materials, MEMS, nanofabrication, or low-temperature physics. The lab is part of UC Berkeley’s College of Engineering, fostering interdisciplinary research at the forefront of quantum and nanoscale systems.

Elias Chavarria MoraView profile

Lecturer

• Political Behavior
• Comparative Politics
• Latin American Politics
• +6 more

Elias Chavarria Mora is a Lecturer at the School of Political Science, University of Costa Rica, and a PhD candidate in Political Science at the University of Pittsburgh (expected 2025). He focuses on comparative political behavior and Latin American politics , with regional expertise in Central American electoral systems and party politics . Education: PhD in Political Science (2025, University of Pittsburgh) M.A. in Political Science (2020, University of Pittsburgh) Licentiate in Political Science (2017, University of Costa Rica) B.A. in Political Science (2015, University of Costa Rica) His research investigates social media's role in elections , ideology , and unconventional political participation . He employs data science methods , including text analysis, spatial econometrics, and machine learning. Recent publications analyze political education curricula , data protection laws , and electoral dynamics in Latin America. His work appears in journals like Latin American Politics and Society and Revista Latinoamericana de Opinión Pública . He coordinates the Observatorio de la Política Internacional Sergio Iván Moya Mena at the University of Costa Rica and has collaborated with the University of Salamanca's Parliamentary Elites in Latin America Observatory.

Will BatemanView profile

Professor

• Legal regulation of public and private finance
• Central banking
• Sovereign debt markets
• +7 more

Professor Will Bateman is a distinguished academic at the Australian National University (ANU) College of Law, where he serves as a Professor and recently completed his term as Associate Dean (Research) from 2021 to 2024. He is also a Chief Investigator for the ANU Grand Challenge project "Humanising Machine Intelligence" and a Fellow at the Gradient Institute, a leading ethical AI research organization based in Sydney. Professor Bateman's educational background is impressive, having earned a PhD and LLM (Hons) from the University of Cambridge and a BA/LLB (Hons) from the Australian National University. Prior to his academic career, he worked in appellate litigation, commercial disputes, and banking as a solicitor at Herbert Smith Freehills, and served as an associate to Justice Stephen Gageler AC of the High Court of Australia and Justice Steven Rares of the Federal Court of Australia. Professor Bateman's research spans two major interdisciplinary domains that sit at the intersection of law with finance and technology. His work on financial regulation focuses on the legal aspects of central banking, sovereign debt markets, digital currencies, and sustainable investing. He has provided expert evidence to the UK Parliament's House of Lords Inquiry into Quantitative Easing, and has collaborated with major financial institutions including the Federal Reserve Bank of New York and the Bank of England. His research on artificial intelligence examines regulatory frameworks for AI in the public sector, with collaborations including the Minderoo Foundation and the Gradient Institute. His recent publications demonstrate a remarkable breadth across legal theory, financial regulation, and AI governance. The articles reveal a consistent theme of examining how traditional legal frameworks adapt to new financial technologies and monetary policy challenges. His work bridges theoretical legal scholarship with practical policy implications, as evidenced by his numerous government consultations and collaborations with central banks worldwide. 2020 Yorke Prize by the University of Cambridge for his work on public finance and constitutionalism Top 10 all-time most downloaded SSRN paper on central banking ("Central Bank Money: Liability, Asset, or Equity of the Nation?") Professor Bateman actively supervises research students, currently mentoring Benjamin Ettinger who is pursuing a PhD on "Legal Method, Cartels and Public Monopolies: A View From the High Court 1908 - 1948." He has secured significant research funding, including projects funded by the Economic and Social Research Council (UK), the German Research Foundation (Deutsche Forschungsgemeinschaft), and The Minderoo Foundation. His "Rebuilding Macroeconomics Initiative: Legal and Economic Conceptions of Money" received £245,000, while the "FA Mann" project was funded with €620,000 (approximately A$1,012,500). He leads the "Humanising Machine Intelligence" project, an ambitious interdisciplinary initiative involving computer scientists, mathematicians, philosophers, sociologists, psychologists, and lawyers aimed at developing democratically legitimate machine intelligence. He also co-led a major project with the University of Western Australia to formulate model legal frameworks for AI regulation in the public sector, funded by The Minderoo Foundation.

Qing CaoView profile

Associate Professor

• Nanomaterials
• Electronic Devices
• Optoelectronic Devices
• +5 more

Qing Cao is an Associate Professor of Materials Science and Engineering at the University of Illinois at Urbana-Champaign, with courtesy appointments in Chemistry and Electrical Engineering. He leads the Cao Research Group within the Grainger College of Engineering and serves as Deputy Editor of Science Advances. Dr. Cao received his B.S. in Chemistry from Nanjing University in 2004 and his Ph.D. in Materials Chemistry from the University of Illinois at Urbana-Champaign in 2009. After working for 9 years as a research scientist at IBM Thomas J. Watson Research Center, he returned to UIUC in 2018 as a faculty member. His research focuses on developing functional nanomaterials for unconventional electronic systems, high-performance logic devices, and low-cost energy harvesting. The Cao Research Group specifically works on: nanoelectronic devices based on novel nanomaterials; next-generation memory devices for neuromorphic and in-memory computing; monolithic 3D integration for high performance electronics; high-performance printable electronic materials; and bioelectronics for healthcare applications. His work bridges materials science, chemistry, electrical engineering, and device physics. Analysis of Dr. Cao's recent publications reveals a strong focus on electrochemical memory devices for neuromorphic computing, with significant work on carbon nanotube-based electronics and novel nanomaterials. His 2023 Nature Electronics paper on CMOS-compatible electrochemical synaptic transistors demonstrates his leadership in developing hardware solutions for deep learning acceleration. His research trajectory shows a progression from fundamental carbon nanotube device physics to more applied systems for computing and sensing applications. IBM Pat Goldberg Memorial Best Paper Award (2017) IBM Master Inventor Award (2016) MIT Technology Review TR35 (2016) Forbes '30 Under 30' (2012) and 'Most Influential All-Star Alumni' (2016) Atlantic Council Millennium Fellow (2017) US Frontiers of Engineering by National Academy of Engineering (2016, 2019) 17 IBM Invention Achievement Awards (2011-2018) Dr. Cao has secured significant research funding including NSF grants 1950182 and 2139185. His research group actively recruits graduate students and postdoctoral researchers to work on cutting-edge materials and device projects. His work has resulted in over thirty research papers and fifty patents and patent applications. He teaches graduate courses including MSE 403 (Synthesis of Materials), MSE 460 (Electronic Materials I), and MSE 488 (Optical Materials). The Cao Research Group operates within the University of Illinois' world-class facilities including the Frederick Seitz Materials Research Laboratory and Holonyak Micro and Nanotechnology Laboratory. His research has received support from NSF, DoD, DOE, and industry partners including TSMC. The group's recent $2 million project focuses on developing technology to help mobile devices learn and adapt to their surroundings.

Thomas S. LontzekView profile

Professor

• Economic Growth
• Quantitative Macroeconomics
• Resource and Energy Economics
• +3 more

Thomas S. Lontzek is Professor of Economics at RWTH Aachen University, holding the Chair of Computational Economics within the School of Business and Economics since October 2016. His research develops numerical methods for economic decision-making with focus on climate change and environmental risks. His educational background includes economics studies at Maastricht University and UC San Diego (1999-2003), followed by PhD from University of Kiel (2009). Prior positions include Assistant/Senior Assistant at University of Zurich (2010-2016) and visiting scholar at Stanford's Hoover Institution (2012). Lontzek's research spans Economic Growth, Quantitative Macroeconomics, Resource and Energy Economics, Computational Economics, Climate Risk Management, and Decision Making under Uncertainty. His work emphasizes unconventional methods for analyzing economic processes through multidimensional, nonlinear stochastic optimization while incorporating ethical principles into economic analysis for sustainability challenges. His publication record reveals a consistent focus on climate economics, particularly the social cost of carbon, climate tipping points, and integrated assessment modeling. These works demonstrate how accounting for economic and climate risks, especially potential tipping points, necessitates more aggressive climate policies than traditional models suggest, often requiring sophisticated computational techniques to handle high-dimensional uncertainty. 2021 Erik Kempe Award for work on calculating an optimal CO2 tax Lontzek actively mentors students through research seminars and teaching, emphasizing methodological diversity and interdisciplinary approaches. He leads the Global Challenges Research Seminar through the Global Challenges Lab, providing students with opportunities to conduct innovative research using quantitative decision-making techniques for sustainable development challenges. His teaching portfolio for Summer Semester 2025 includes Quantitative Macroeconomics, Sustainable Finance, and specialized research seminars. He heads the Chair of Computational Economics, which includes scientific staff members Dr. Marco Thalhammer, Dr. Yifan Zhao, and Philipp Olivier, M.Sc., working collaboratively on climate economics and computational methods. The chair's research bridges theoretical economic modeling with practical policy applications, developing dynamic stochastic integrated assessment models capable of handling complex climate-economy interactions under uncertainty.

Massimiliano Di VentraView profile

Professor

• Quantum transport
• Non-equilibrium statistical mechanics
• DNA sequencing
• +6 more

Massimiliano Di Ventra is a Professor of Physics at the University of California, San Diego, holding this position since 2006 after serving as Associate Professor (2004-2006) and moving from Virginia Tech where he was Assistant Professor (2000-2002) and Associate Professor (2003). His academic journey includes research roles at IBM T.J. Watson Research Center and Vanderbilt University. Education: Undergraduate degree in Physics, summa cum laude, University of Trieste, Italy (1991) PhD in Physics, Swiss Federal Institute of Technology, Lausanne (1993-1997) Di Ventra's research bridges theoretical physics with practical applications, focusing on quantum transport in nanoscale systems, non-equilibrium statistical mechanics, and DNA sequencing/polymer dynamics in nanopores. His pioneering work on memory effects in nanostructures has driven innovations in unconventional computing and biophysics, resulting in over 300 refereed publications and significant commercial impact through memcomputing technologies. His scientific awards include: Senior member, National Academy of Inventors (2025) Humboldt Research Award (2024) Fellow, American Association for the Advancement of Science (2022) IEEE Nanotechnology Council Distinguished Lecturer (2022) Fellow, IEEE (2022) George W. and Carol A. Lattimer Research Fellow (2021) Member of Academia Europaea (2020) Feynman Prize for Theory in Nanotechnology (2020) APS Outstanding Referee (2019) Highly Cited Researcher (2018) Di Ventra has secured major research funding including an NSF CAREER Award and Ralph E. Powe Award, holds 11 granted patents, and co-founded MemComputing, Inc. His mentorship extends to numerous graduate students and postdoctoral researchers within his active research group at UCSD. He maintains a globally recognized research presence through visiting professorships at institutions including École Normale Supérieure of Paris (2024), Technion (2017), and Technical University of Dresden (2015), and has delivered over 350 invited talks including 20 plenary/keynote presentations worldwide.

• Computational Linguistics
• Computer Science
• Machine Learning
• +1 more

Noah A. Smith is an Adjunct Professor of Computer Science and Engineering at the University of Washington. His work focuses on computational linguistics, machine learning, and natural language processing. He holds a Ph.D. in Computer Science from Johns Hopkins University (2006). His research explores ethical AI applications, multimodal systems, and foundational aspects of language models. Key research areas include: Ethical considerations in NLP, such as detecting rights abuses through text analysis Efficient decoding and alignment strategies for large language models Large-scale evaluation frameworks for multitask and multimodal generation Understanding pretraining dynamics and data composition effects Recent work emphasizes transparency in language models (e.g., tracing outputs to training data) and improving alignment through human feedback. He has contributed to open-source projects like OLMo and Dolma, advancing reproducibility in NLP research. No awards explicitly listed in provided texts. No specific advising or grant details available, though extensive publication output indicates active research involvement.

James R. FienupView profile

Professor

• Imaging Science
• Phase Retrieval
• Unconventional Imaging
• +8 more

James R. Fienup is the Robert E. Hopkins Professor of Optics at the University of Rochester's Institute of Optics, with additional appointments as Distinguished Scientist at the Laboratory for Laser Energetics, Professor at the Center for Visual Science, Professor of Electrical and Computer Engineering, and Affiliated Faculty at the Goergen Institute for Data Science and Artificial Intelligence. His office is located at Wilmot 410, 275 Hutchison Rd., Rochester, NY. Education PhD in Applied Physics from Stanford University (1975) MS in Applied Physics from Stanford University (1972) BA in Physics & Mathematics (magna cum laude) from Holy Cross College (1970) Research Focus Professor Fienup's research specializes in imaging science , with emphasis on phase retrieval algorithms, unconventional imaging techniques, and wavefront sensing. His work spans computational methods for image reconstruction, sparse-aperture systems, and synthetic-aperture imaging. Recent innovations include applying machine learning to wavefront control and developing advanced digital holography techniques for 3D imaging through atmospheric turbulence. Publication Trends His recent articles (2018-2024) demonstrate a strong focus on computational imaging techniques, particularly phase retrieval algorithms applied to optical metrology and wavefront correction. Key themes include multi-plane digital holography, coronagraphic wavefront control for astronomical applications, machine learning-enhanced sensing, and novel approaches for segmented-aperture systems. His work consistently bridges theoretical optics with practical instrumentation challenges. Awards and Honors Lifetime Achievement Award, Hajim School of Engineering (2019) Emmett N. Leith Medal, Optical Society of America (2013) National Academy of Engineering Member (2012) Distinguished Visiting Scientist, JPL (2009) Fellow of OSA and SPIE International Prize in Optics (1983) Rudolf Kingslake Medal (1979) NSF Graduate Fellow (1970-1972) Professional Activities Professor Fienup has served as Editor-in-Chief of the Journal of the Optical Society of America A (1998-2003) and held editorial roles at Applied Optics and Optics Letters . He consults for NASA (James Webb Space Telescope, Hubble), national laboratories, and aerospace companies, and holds five patents in optical systems design.

• Systems and Network Security
• Applied Cryptography
• Cybersecurity
• +9 more

Dr. Angelos D. Keromytis is the John H. Weitnauer, Jr. Endowed Chair Professor and Georgia Research Alliance (GRA) Eminent Scholar at the School of Electrical and Computer Engineering , Georgia Institute of Technology . He is a globally recognized leader in systems and network security and applied cryptography , with over 250 publications and 67 issued US patents. He is an elected Fellow of both the IEEE and ACM, and previously served as a Program Manager at DARPA and Program Director at NSF. Education: Ph.D. in Computer Science, University of Pennsylvania (2001) M.Sc. in Computer Science, University of Pennsylvania (1997) B.Sc. in Computer Science, University of Crete, Greece (1996) Research Interests: Dr. Keromytis's research spans a broad spectrum of cybersecurity topics, including: Systems and Network Security : He has led foundational work in secure systems design, intrusion detection, and network anomaly detection. Applied Cryptography : His work includes cryptographic protocols, secure communications, and privacy-preserving systems. Hardware and Side-Channel Security : He has pioneered techniques for detecting hardware Trojans using electromagnetic side-channels. Cloud and IoT Security : He has developed novel approaches to securing cloud services and IoT devices. Software Security : His work includes defenses against malware, return-oriented programming (ROP), and automated software patching. Scientific Awards: John H. Weitnauer, Jr. Endowed Chair Georgia Research Alliance (GRA) Eminent Scholar IEEE Fellow (2018) ACM Fellow (2017) ACM Distinguished Scientist (2012) DARPA Superior Public Service Medal DARPA Results Matter Award Advising and Grants: Dr. Keromytis has advised over 30 Ph.D. students and numerous postdocs. He has secured over $35M in research funding from agencies like DARPA, NSF, IARPA, ONR, and AFRL. His recent grants include: DARPA SMOKE : $22.7M for "Antikythera" cybersecurity framework NSF SaTC : $1.2M for mobile network anti-tracking architecture DARPA CHASE : $1.7M for network abuse behavioral engine DARPA OPS-5G : $7.3M for large-scale adversary defense ONR : $4.4M for dormant hardware Trojan detection Labs and Teams: He co-founded and co-directs the Center for Cyber Operations Enquiry and Unconventional Sensing (COEUS) at Georgia Tech. Previously, he founded and directed the Network Security Lab (NSL) at Columbia University, which produced foundational research in network security, intrusion detection, and software protection.

Michael LevinView profile

Professor

• Bioelectricity
• Regenerative Medicine
• Cancer Biology
• +5 more

Michael Levin is a Vannevar Bush Professor and Distinguished Professor at Tufts University, affiliated with the School of Arts and Sciences (Department of Biology) and School of Engineering (Biomedical Engineering). His research focuses on bioelectricity, developmental biology, and collective intelligence. He leads the Allen Discovery Center and the Tufts Center for Developmental and Regenerative Biology. Education: PhD in Genetics from Harvard Medical School (1996); BS in Computer Science and Biology from Tufts University (1992). Research Interests: Integrates developmental biology, computer science, and cognitive science to study morphogenesis, regeneration, and cancer. Explores bioelectric signaling, synthetic organisms, and AI-driven discovery. Key areas include regenerative medicine, cancer reprogramming, and collective intelligence in biological systems. Publications: Over 600 articles, with recent work on xenobots, neuroevolution, and bioelectric therapies. Themes include bioelectric control of form, AI in biology, and collective intelligence. Awards: INNS Donald O. Hebb Award, AAAS Fellow, and Vox Future Perfect 50 List recognition. Frequently invited to speak at conferences on biology, AI, and consciousness. Advising & Labs: Mentored numerous postdocs and students, including pioneers in bioelectricity and synthetic biology. Lab focuses on interdisciplinary approaches to biological pattern formation and regeneration.

Douglas A. LoyView profile

Professor

• Sol-gel chemistry
• Tetrazine polymer chemistry
• Energy-storage materials
• +6 more

Douglas A. Loy is a full Professor at the University of Arizona with joint appointments in the Department of Materials Science and Engineering and the Department of Chemistry and Biochemistry, and additional affiliations with the BIO5 Institute and the School of Mining and Mineral Resources. A fifth-generation Arizonan, he earned his BS in Chemistry from the University of Arizona (1983), MS in Chemistry from Northern Arizona University (1986), and PhD in Organic Chemistry from the University of California, Irvine (1991). Before returning to academia he spent 14 years at Sandia National Laboratories and then led the Polymer and Nanomaterials Synthesis Team at Los Alamos National Laboratory. Research Interests Sol-gel & polysilsesquioxane chemistry: fundamental studies and unconventional routes to hybrid organic-inorganic materials. Tetrazine polymer chemistry: synthesis, click modification, and application in antioxidant foams and UV-stable sunscreens. 3-D printing of glasses & ceramics: additive manufacturing of micro-optics, multi-refractive-index glass objects, and transparent devices using silica and silsesquioxane resins. Energy & biomaterials: new materials for energy storage, polymer-ceramic bone scaffolds, and smart packaging films. Across more than 70 recent publications (2012-2025), the dominant themes are advanced additive manufacturing of specialty glasses and ceramics, design of photochemically stable sunscreen systems, and development of multifunctional polymer-ceramic composites for biomedical and energy applications. The work integrates molecular-level organic synthesis with macro-scale materials processing, enabling applications ranging from holographic micro-optics to lunar in-situ resource utilization. Scientific Awards & Recognition While specific honors are not listed in the provided text, Loy is described as a “distinguished member of technical staff” at Sandia National Laboratories, indicating prior recognition for his research achievements. Funding & Collaborative Teams At the University of Arizona his group pursues federally and industrially funded projects spanning NSF, DOE, and NASA programs, particularly in advanced manufacturing and energy materials. He collaborates closely with the BIO5 Institute for biomedical applications and with the School of Mining and Mineral Resources for resource-based materials research. No explicit student lists are included in the text. Laboratory & Facilities Loy’s laboratories are located in Mines and Metallurgy 338B at the University of Arizona, equipped for sol-gel synthesis, polymer processing, and state-of-the-art 3-D printing instrumentation including multi-photon lithography systems for micro-optics fabrication.