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Dr. Jung-Fu Lin is a Professor of Earth and Planetary Sciences at the Jackson School of Geosciences, University of Texas at Austin, holding the Dave P. Carlton Centennial Professorship. His research focuses on understanding planetary interiors through high-pressure experiments, particularly using diamond anvil cells and synchrotron facilities. Key areas include mineral physics, Earth's core dynamics, and the role of water in mantle processes. Expertise: High-pressure mineral physics, X-ray spectroscopy, and planetary materials science. Current projects: Investigating iron alloys in Earth's core, thermal conductivity of mantle minerals, and carbon storage mechanisms. Research highlights include discoveries on iron spin transitions, elasticity of bridgmanite, and Martian core dynamics. Awards include the NSF CAREER Award and Fulbright Scholarship. Lin supervises graduate students in experimental petrology and mentors postdocs globally. Teaches courses on Earth materials and mineral physics. Active in international collaborations, including with Okayama University (Japan) and Adam Mickiewicz University (Poland). His lab develops advanced laser heating systems and Raman spectroscopy tools for high-pressure studies.

• Mineral Physics
• Earth and Planetary Geophysics
• Geochemistry
• +3 more

Ralph H. Colby serves as Professor of Materials Science and Engineering and Chemical Engineering at Pennsylvania State University's College of Earth and Mineral Sciences, holding the Corning Faculty Fellowship. His research focuses on molecular-level dynamics in complex fluids, particularly polymers, ionomers, and liquid crystalline systems. With over 130 publications and authorship of the textbook Polymer Physics (2003), he directs an active research program examining structure-property relationships in soft matter. B.S. in Materials Science and Engineering, Cornell University (1979) M.S. in Chemical Engineering, Northwestern University (1983) Ph.D. in Chemical Engineering, Northwestern University (1985) Professor Colby's research spans polymer physics, rheology, and materials for energy applications. His group employs mechanical rheology, dielectric spectroscopy, and scattering techniques to investigate ion transport in single-ion conductors for batteries, dynamics of glass-forming liquids, and self-assembly in polyelectrolyte systems. Current work emphasizes structure-property relationships in ionomers, liquid crystalline polymers, and branched architectures. Analysis of recent publications reveals consistent focus on ionomer membranes for energy applications, processing-structure relationships in advanced polymers, and fundamental dynamics of complex fluids. Key trends include increasing integration of computational modeling with experimental characterization, expansion into sustainable materials processing, and growing emphasis on applications in battery technology and biomedical materials. Penn State Faculty Scholar Medal for Outstanding Achievement (2022) Bingham Medal, Society of Rheology (2012) American Chemical Society Fellowship Corning Faculty Fellowship in Materials Science and Engineering Professor Colby leads multiple federally funded projects including NSF's 'Fundamental Studies of Flow-Induced Polymer Crystallization' and DOE's 'Conduction mechanisms and structure of ionomeric single-ion conductors'. His group maintains strong industry partnerships with Corning Incorporated and participates in interdisciplinary initiatives like the Penn State Intercollege Graduate Degree Program in Materials Science and Engineering. Current research includes collaborations on breast cancer adherence interventions in Rwanda and conjugated polymer development for flexible electronics. The Colby Research Group operates specialized facilities for rheological characterization, dielectric spectroscopy, and X-ray scattering at Penn State's Materials Research Institute. The team maintains active collaborations with national laboratories and international research groups, focusing on translating fundamental polymer physics discoveries into practical applications for energy storage and advanced manufacturing.

• Polymer Physics
• Rheology
• Ionomers
• +5 more

Andrea Liu is the Hepburn Professor of Physics at the University of Pennsylvania, leading the Department of Physics and Astronomy. As Director of the Penn Center for Soft and Living Matter, she bridges physics, biology, and materials science. She joined Penn in 2004 after faculty roles at UCLA (1994-2004) and postdoctoral research at Exxon and UCSB. Her research focuses on theoretical studies of soft and living matter, particularly jamming transitions, glass physics, and emergent phenomena in biological systems. She pioneers the application of machine learning to physical systems, designing self-learning materials and circuits. Education Ph.D., Cornell University (1989) B.A., University of California, Berkeley (1984) Research Interests Soft matter: Glass transition, jamming, and plasticity in disordered solids Living matter: Collective behavior in tissues, fluidization mechanisms, and biopolymer networks Machine learning: Physical implementations, energy-efficient circuits, and adaptive systems Her work combines analytical theory and computation to explain how complex systems achieve functionality through structural and dynamical principles. Publications Trends Recent work emphasizes physical learning networks, clogging dynamics in granular systems, and biophysical tissue mechanics. Key themes include emergent learning in analog systems, topology-driven material design, and interdisciplinary approaches to biological and engineering challenges. Awards 2025 American Physical Society Leo P. Kadanoff Prize 2021-2025 Simons Investigator in Theoretical Physics Member, National Academy of Sciences (2017) Labs & Teams Her research group collaborates on the Center for Soft and Living Matter, advancing theoretical frameworks for adaptive materials and biological systems. Ongoing initiatives focus on machine learning-informed materials design and experimental validation of theoretical models.

• Theoretical Soft Matter
• Living Matter Physics
• Glass Transition
• +4 more

Professor Brian Leeds DeMarco is a leading academic in the Department of Physics at the University of Illinois Urbana-Champaign (UIUC), serving as the IQUIST Director and Bardeen Faculty Scholar. He specializes in Atomic, Molecular, and Optical Physics, with a focus on quantum simulation using ultracold atoms in optical lattices to address problems in condensed matter physics. His research has led to groundbreaking discoveries, including the first quantum-degenerate Fermi gas and three-dimensional Anderson localization of matter, earning him prestigious awards like the NSF CAREER Award and Sloan Fellowship. DeMarco holds a B.A. in Physics from SUNY Geneseo (1996) and a Ph.D. from the University of Colorado Boulder (2001). His postdoctoral work at NIST with David Wineland advanced quantum computing with trapped ions. At UIUC since 2003, he has held roles such as Associate Head for Undergraduate Programs and currently chairs NASA's Fundamental Physical Sciences Standing Review Board. His research explores quantum simulation, quantum computing architectures, and ultracold matter. Notable achievements include identifying phase-slip crossover in optical lattices and pioneering 3D Anderson localization. He has published over 30 high-impact articles, with recent work focusing on quantum simulators and hybrid quantum systems. Awards: APS Fellow, University of Illinois Scholar, NASA Review Board Chair, Defense Sciences Study Group member. Grants: NSF, ONR, Sloan Foundation support for quantum simulation and ultracold atom research. DeMarco leads the DeMarco Group, advancing quantum technologies and training students in experimental physics. His lab’s work on quantum testbeds and trapped ion processors positions him at the forefront of quantum information science.

• Quantum Simulation
• Condensed Matter Physics
• Atomic, Molecular, and Optical Physics (AMO)
• +4 more

Naresh N. Thadhani is a Professor and Chair of Materials Science and Engineering at Georgia Tech, with an adjunct role in the Woodruff School of Mechanical Engineering. His research focuses on shock-induced material changes, high-strain-rate mechanics, and dynamic compaction of powders. He leads a lab equipped with advanced facilities like gas guns and laser-accelerated systems for studying impacts up to 1200 m/s. Education: Ph.D., New Mexico Institute of Mining and Technology (1984); M.S., South Dakota School of Mines and Technology (1981); B.E., University of Rajasthan, India (1980). Research interests include shock compression of metals/ceramics, phase transformations in metallic glasses, and structural energetic materials. His work combines experimental diagnostics (e.g., VISAR, photonic Doppler velocimetry) with computational modeling (CTH/ALE3D codes). Key awards: APS Fellow (2007), ASM International Fellow (2000). Editorial roles include Associate Editor of Shock Waves and Key Reader for Metallurgical and Materials Transactions . Lab & Group: A team of 1 postdoctoral fellow, 11 PhD students, and 3 undergraduates. Over 30 graduates to date. Active in advisory roles for national/international conferences and industrial consultancies. Future work emphasizes nanocomposite magnets and meso-scale modeling of heterogeneous materials under shock.

• High-strain-rate mechanical properties
• Shock-compression
• Shock-induced chemical reactions
• +7 more

Jiwoong Park is Professor of Chemistry and Chair of the Department of Chemistry at the University of Chicago, and simultaneously Professor of Molecular Engineering in the Pritzker School of Molecular Engineering. His interdisciplinary research group, the Park Group, is jointly affiliated with the James Franck Institute and the Materials Research Science and Engineering Center (MRSEC) at UChicago, and operates from the Gordon Center for Integrative Science. Education & Training Ph.D., University of California, Berkeley (2003) B.S., Seoul National University (1996) Junior Fellow, Rowland Institute, Harvard University (2003–2006) Assistant → Associate Professor, Department of Chemistry and Chemical Biology, Cornell University (2006–2016) Research Interests Park’s research centers on the science and technology of precisely engineered nanomaterials, particularly atomically-thin two-dimensional (2D) crystals and van der Waals solids. Spanning chemistry, physics, materials science and electrical engineering, his group develops novel synthetic, imaging and characterization techniques to uncover new physical phenomena and translate them into scalable device technologies. Key thrusts include growth of wafer-scale molecular crystals, optical and transport spectroscopy of 2D semiconductors, mechanical behavior of polycrystalline nanomembranes, and integration of these materials into photonic, electronic and energy-harvesting devices. Scientific Awards Elected Fellow of the American Physical Society (2022) – “for the development of synthetic, imaging, and characterization techniques of atomically thin materials and the discovery of novel properties of van der Waals solids.” Clarivate Highly Cited Researcher (2023) – recognition for multiple papers ranking in the global top 1% by citations in Materials Science and Chemistry. Group & Collaborations The Park Group is an interdisciplinary team of postdocs, graduate researchers and undergraduates housed in the Gordon Center for Integrative Science. The group actively collaborates with colleagues across the Department of Chemistry, Department of Physics, and the Pritzker School of Molecular Engineering, leveraging shared facilities at the James Franck Institute and MRSEC to push the frontiers of 2D material science.

• Nanomaterials
• Atomically-thin materials
• Materials Chemistry
• +7 more

Andrea Montanari is a Professor of Mathematics and Statistics at Stanford University, affiliated with the Department of Mathematics and Statistics. His research focuses on high-dimensional statistics, machine learning theory, optimization algorithms, and statistical physics, with applications to neural networks and complex systems. He has contributed extensively to understanding generalization in overparametrized models, spin glass theory, and algorithmic methods like approximate message passing. His work bridges theoretical computer science and mathematical physics, addressing challenges in data analysis and learning from high-dimensional datasets. Notable themes include analyzing neural network dynamics, optimizing high-dimensional landscapes, and developing efficient algorithms for sparse and low-rank matrix estimation. Montanari’s publications explore topics such as the interplay between statistical and computational limits, the behavior of gradient-based methods, and the theoretical foundations of modern machine learning. His recent research demonstrates a focus on fundamental questions in learning theory, including the study of phase transitions in statistical estimation, the role of overparametrization in generalization, and the mathematical underpinnings of contemporary algorithms. While no specific awards are listed here, his contributions reflect significant impact in interdisciplinary fields.

• High-dimensional statistics
• Machine learning theory
• Statistical physics
• +4 more

Horacio Rostro González is an Associate Professor in the Department of Industrial Engineering at IQS School of Engineering, Universitat Ramon Llull (URL), Barcelona, Spain. He is an active researcher with a strong international academic background and current affiliations in both research and teaching. Education: PhD in Control and Signal and Image Processing (2011, INRIA & University of Nice – Sophia Antipolis, France) Master’s in Electrical Engineering (2007, University of Guanajuato, Mexico) Electronic Engineer (2003, National Technological Institute of Mexico) His research interests lie at the intersection of Artificial Intelligence, Computational Neuroscience, Neuromorphic Computing, Embedded Systems, and Robotics. He applies advanced techniques in neural networks, machine learning, and control systems to solve complex engineering problems in robotics, biomedicine, and industrial design. His work emphasizes biomimetic approaches, such as spiking neural networks for robot locomotion and AI-driven analysis of physiological signals like ECG and facial expressions. The recent publications highlight a strong trend in interdisciplinary research, combining AI with photonics, robotics, cardiovascular diagnostics, and emotional recognition in children. His work spans from theoretical algorithm development to practical industrial applications, particularly in additive manufacturing and smart systems. Scientific Projects: Offshore Wind Farms: Data analysis using machine learning and power generation prediction (2023–2024) GEPI: Grup Enginyeria de Productes Industrials (2022–2025) He is actively involved in research grants and collaborative projects, with no mention of formal student advising in the provided text. He is a member of the GEPI (Industrial Products Engineering Group), which focuses on additive manufacturing, reverse engineering, and material characterization. His scientific output is robust, with consistent publication activity from 2005 to 2025, including numerous articles in indexed journals.

• Artificial Intelligence
• Computational Neuroscience
• Neuromorphic Computing
• +7 more

Ahmed El Alaoui is an Assistant Professor in the Department of Statistics and Data Science at Cornell University, with a secondary affiliation in the Department of Computer Science. He joined Cornell in 2021 after completing a postdoctoral fellowship at Stanford University under Andrea Montanari. His research focuses on high-dimensional statistics, probability theory, algorithms on random structures, and statistical physics, with particular emphasis on spin glasses and algorithmic thresholds. El Alaoui holds a PhD in Electrical Engineering and Computer Sciences from UC Berkeley (2018), advised by Michael I. Jordan, and a Master's from Ecole Normale Supérieure/Ecole des Ponts Paristech. His work bridges theoretical and applied domains, addressing challenges in high-dimensional inference, computational trade-offs, and probabilistic models. He has contributed to foundational results in random matrix theory, detection limits in spiked models, and algorithmic approaches to complex systems. His teaching includes courses on high-dimensional statistics, probability models, and theoretical computer science. He has been recognized for his innovative approaches to sampling and optimization in disordered systems, with publications in top journals like Annals of Probability and venues such as NeurIPS and FOCS. El Alaoui's research explores the interplay between statistical physics principles and algorithm design, aiming to uncover computational barriers in high-dimensional problems. His lab develops methodologies for analyzing complex systems and improving the efficiency of statistical estimation in challenging scenarios.

• High-Dimensional Statistics
• Probability Theory
• Algorithms on Random Structures
• +4 more

Ayse Asatekin is an Associate Professor and Steve and Kristen Remondi Fellow in the Department of Chemical and Biological Engineering at Tufts University School of Engineering. She specializes in developing novel membranes and polymers for water treatment, separations, and biomedical applications. Her research focuses on fouling-resistant membranes, self-assembling polymers, and energy-efficient filtration systems. She holds a Ph.D. from MIT and has co-founded Clean Membranes, Inc., and serves as Senior Scientific Advisor for ZwitterCo, Inc. Education: Ph.D., Chemical Engineering, MIT (2009) B.S., Chemical Engineering & Chemistry, Middle East Technical University (2002/2003) Affiliations: Co-founder of Clean Membranes, Inc. Senior Scientific Advisor at ZwitterCo, Inc. Research Interests: Design of anti-fouling membranes, zwitterionic polymers, surface chemistry, water treatment, and energy-efficient separations. Key innovations include fouling-resistant zwitterionic copolymers and scalable membrane fabrication techniques. Grants & Awards: Multiple NSF grants, DOE funding, NIH support, and the National Academy of Inventors Senior Member distinction. Her work addresses global challenges in clean water, wastewater treatment, and sustainable manufacturing. Teaching: Core courses in Thermodynamics, Separations, and polymer science electives. Committed to fostering student engagement through interdisciplinary projects and active learning. Labs/Teams: Leads the Smart Polymers, Membranes, and Separations Lab at Tufts, collaborating on biomaterials, microfluidics, and environmental engineering projects.

• Membranes
• Polymer Science
• Material Science
• +7 more

Sebastian Kube is an Assistant Professor in the Department of Materials Science & Engineering at the University of Wisconsin-Madison's College of Engineering, with additional affiliation in Mechanical Engineering. His research accelerates alloy development through autonomous discovery methods combining robotics, data science, and advanced characterization. Dr. Kube's educational background includes: Postdoctoral Researcher (2023), University of California Santa Barbara (Tresa Pollock Lab) PhD (2021), Yale University (Jan Schroers Lab) BS (2016), Giessen University His work focuses on refractory multi-principal element alloys for extreme environments (>1300°C) and metallic liquid structure-property relationships. He develops autonomous platforms to navigate complex parameter spaces, targeting improved glass forming ability and rapid solidification processing through B2 precipitation strategies and novel characterization techniques. Recent publications emphasize refractory high-entropy alloys, BCC-B2 systems, and metallic glasses, integrating experimental and computational approaches to decode phase stability, deformation mechanisms, and glass formation for accelerated materials design. Major recognitions include: 2025 DARPA Young Faculty Award 2024 ARPA-E IGNIITE Early Career Award RCSA Scialog Fellowship for Automating Chemical Laboratories He mentors graduate students through thesis courses (M S & E 790/890/990) and leads the Autonomous Alloy Discovery Lab, which develops robotic systems for high-throughput experimentation. Current projects target next-generation turbine alloys and environmentally sustainable materials for aerospace, energy, and defense applications.

• Autonomous materials discovery
• Refractory alloys for extreme environments
• Glass forming ability and structure of metallic liquids
• +2 more

Dr. Edward L. Quitevis is a Professor in the Department of Chemistry and Biochemistry at Texas Tech University, holding joint appointments in Physics. He earned his Ph.D. from Harvard University (1981) and completed postdoctoral research at the University of Toronto (1981-1984). His research focuses on the dynamics of complex fluids, particularly ionic liquids and supercooled liquids, using advanced techniques like optical heterodyne-detected Raman-induced Kerr effect spectroscopy (OHD-RIKES) and fluorescence recovery after photobleaching (FRAP). Key interests include nanostructural organization in ionic liquids, intermolecular dynamics, and the glass transition phenomenon in supercooled systems. Current research themes include understanding the relationship between nanostructure and dynamics in ionic liquids, studying ultraslow translational/rotational diffusion near the glass transition, and exploring applications of ionic liquids in materials science. His group has developed novel insights into the role of cation-anion interactions and nanoscale segregation in these systems. Dr. Quitevis collaborates widely, with publications in top journals like Physical Chemistry Chemical Physics and Journal of Chemical Physics . Students advised include Jagdeep Kaur, Dujuan Meng, Mahesh Thakurathi, and Sophia Sagala. His lab focuses on experimental and theoretical approaches to probe liquid-state dynamics, with recent work on cellulose dissolution, graphene exfoliation in ionic liquids, and lubrication applications.

• Physical Chemistry
• Chemical Physics
• Dynamics of Complex Fluids
• +4 more

Paulo E. Arratia is a Professor in the Department of Chemical and Biomolecular Engineering and Mechanical Engineering and Applied Mechanics. His research spans soft matter physics, complex fluids, and biomechanics, with a focus on non-Newtonian fluid dynamics, bacterial suspensions, and microfluidics. He serves as the Faculty Director of Undergraduate Research and leads a research group based in Towne M60, exploring phenomena such as viscoelastic flow instabilities and the physics of baseball mud. Departments: Chemical and Biomolecular Engineering, Mechanical Engineering and Applied Mechanics Honors: Eduardo D. Glandt Distinguished Scholar, Fellow of the Society of Rheology (2025), APS DFD Fellow (2022) His recent work highlights the interplay between biological systems and fluid mechanics, including studies on bacterial rheotaxis, sedimentation dynamics, and the rheology of human blood plasma. Collaborations with Dr. Jerolmack on mudslide physics and contributions to understanding elastic turbulence and chaotic transport further underscore his interdisciplinary approach. Scientific awards include: Fellow, Society of Rheology (2025) APS DFD Fellow (2022) for experimental discoveries in complex and biological fluid mechanics He has advised PhD students Bryan Torres Maldonado, Ranjiangshang Ran, and Larry Galloway, all of whom successfully defended their theses. His lab’s recent publications analyze soft matter mechanics, granular creep, and viscoelastic swimmers, reflecting ongoing trends in active matter and material failure.

• Soft Matter Physics
• Complex Fluids
• Biological Fluid Mechanics
• +4 more

Christopher Evans is an Associate Professor in the Department of Materials Science and Engineering at the University of Illinois, affiliated with the Materials Research Lab. His research focuses on polymer chemistry and materials science, particularly dynamic covalent bonds, ionic liquids, and polymer networks. He has received notable awards including the 3M Non-Tenured Faculty Award (2020) and NSF CAREER Award (2018). His work explores topics like ion transport in block copolymers, dynamic network viscoelasticity, and solid electrolyte conductivity improvements through helical peptide structures. Recent studies include investigations into penetrant diffusion, crosslink density effects, and thermal conductivity in vitrimers. Evans collaborates widely, addressing challenges in recyclable materials, energy storage, and polymer morphology.

• Polymer Chemistry
• Materials Science
• Ionic Liquids
• +3 more

Ethan A. Scott is a Research Assistant Professor in the Department of Mechanical and Aerospace Engineering at the University of Virginia. He holds a B.S. (2015) and Ph.D. (2021) in Mechanical and Aerospace Engineering from UVA, followed by a postdoctoral research associate position at Sandia National Laboratories. His research focuses on experimental techniques for analyzing heat and energy transfer in extreme material conditions, including micro- and nanoscale phenomena. He serves as Deputy Director of the EXSiTE Lab led by Professor Patrick Hopkins. Education: B.S., Mechanical Engineering, University of Virginia (2015) Ph.D., Mechanical and Aerospace Engineering, University of Virginia (2021) Postdoctoral Research Associate, Sandia National Laboratories (2021–2023) Research Interests: Ethan explores advanced thermal transport phenomena using electro- and optothermal methods. Key areas include micro/nanoscale heat transfer, microfabrication, and infrared thermal detection. His work addresses challenges in material size extremes (e.g., nanoscale thin films) and environmental extremes (e.g., high-energy ion irradiation effects). Publications: His recent work emphasizes thermal conductivity manipulation through ion irradiation, optothermal sensor development, and novel material characterization. Themes include defect engineering in crystalline systems and optimizing thin-film thermometry for high sensitivity. Awards: Editor’s Pick, Applied Physics Letters (2021) Nuclear Regulatory Commission Fellowship (2017) Labs & Teams: Deputy Director of the EXSiTE Lab, focusing on experimental studies of thermal and mechanical properties of materials under extreme conditions.

• Micro- and nanoscale heat transfer
• Electro- and optothermal experimental techniques
• Microfabrication and MEMS
• +3 more