Carolyn Mills is an Assistant Professor in the Department of Bioengineering at the University of California, Santa Barbara, specializing in molecular engineering of proteins for spatial organization in biological systems with applications in plastic remediation and oral vaccine delivery. Education: PhD, Chemical Engineering, Massachusetts Institute of Technology (MIT) BS, Chemical Engineering, UC Santa Barbara Her research integrates protein engineering, synthetic biology, and polymer science to manipulate spatial organization. Key focus areas include bacterial microcompartments for PET waste remediation, liquid-liquid phase separation characterization using cell-free systems, anaerobic platforms for lignin breakdown, and probiotic-based oral vaccine delivery using virus-like particles. The Mills Lab employs high-throughput screening and cell-free protein synthesis to develop closed-loop plastic degradation systems and low-cost vaccine scaffolds. Recent publications (2022-2025) demonstrate consistent innovation in protein self-assembly mechanisms, bacterial organelle engineering, and environmental/medical applications, with strong emphasis on scalable solutions for plastic pollution and global vaccine access. Scientific awards: Distinguished Postdoctoral Service Award, Northwestern University Dr. Mills leads collaborative projects with Prof. Michelle O'Malley and ExFAB (UCSB's NSF Biofoundry), focusing on anaerobic fungal pathways. Her lab bridges fundamental protein dynamics with real-world applications in environmental sustainability and biomedical engineering through engineered spatial organization strategies.
Adrian Whitty is an Associate Professor in the Department of Biology at Boston University . His research focuses on protein-protein and protein-ligand recognition, particularly in developing mechanistic understandings of growth factor receptor activation and advancing drug discovery for protein-protein interaction inhibition. Education: B.Sc. (Honors) in Chemistry from King’s College, University of London (1985); Ph.D. in Organic Chemistry from the University of Illinois at Chicago (1991); Postdoctoral Research Fellow at Brandeis University's Biochemistry Department (1990-93). His work integrates biochemical and cell-based assays using advanced technologies like FRET, Time-Resolved Fluorescence, and Surface Plasmon Resonance (Biacore 3000). He collaborates with computational chemists, organic synthesis experts, X-ray crystallographers, and biologists to develop novel approaches for designing small molecule inhibitors of protein-protein interactions. Recent publications highlight trends in machine learning applications for molecular scientists, structural analysis of enzyme mechanisms, macrocycle-based drug design, and quantitative studies of protein interaction energetics. His lab emphasizes rigorous hypothesis-driven experimental design, preparing students for careers in academia or industry. Advisory and leadership roles include membership in The Protein Society (2008-present), the American Society of Biochemistry and Molecular Biology (ASBMB) Governing Council (2007-present), and founding roles in the Council for Systems Biology in Boston (CSB2) and the Institute for Chemical Biology and Drug Discovery at SUNY Stony Brook. His laboratory is equipped with state-of-the-art facilities for fluorescence, analytical ultracentrifugation (AUC), dynamic light scattering (DLS), isothermal titration calorimetry (ITC), and tissue culture, supporting diverse techniques including flow cytometry and reaction pathway modeling with Mathematica and MATLAB.
Boris Kaus is a Full Professor and Chair of Geophysics and Geodynamics at the Institute of Geosciences, Johannes Gutenberg University Mainz, Germany. His research focuses on understanding geological processes from grain scale to planetary scale using mathematical and numerical models. Funded by the German Research Foundation, European Research Council, and BMBF, his work spans lithospheric deformation, melt migration, fold-and-thrust belts, and high-performance computing applications in geosciences. His research interests center on geodynamic modeling of lithospheric processes, including subduction zones, mantle convection, and crustal deformation. Kaus develops novel numerical approaches to simulate complex geological phenomena, with emphasis on coupling between erosion, lithosphere dynamics, and mantle flow. His group creates specialized software for high-performance computing systems to tackle multi-scale geophysical problems. His scientific awards include the Paul Niggli Medal, EGU Arne Richter Award, multiple ERC grants (Starting, Proof-of-Concept, Consolidator), and the Carl Friedrich Gauss Lecturer honor. He has received recognition for editorial contributions including G-Cubed's Excellence in Refereeing award. ERC Consolidator Grant MAGMA (2018-2023) ERC Proof of Concept Grant SALTED (2016-2017) ERC Starting Grant MODEL (2010-2015) John von Neumann Excellence Project for HPC ETH Medal for Ph.D. thesis Kaus actively supervises graduate students and leads research projects funded by major European and German agencies. His group develops open-source software like GeophysicalModelGenerator.jl and maintains strong collaborations with international institutions including ETH Zürich and USC. Current projects focus on magma dynamics, lithospheric shear localization, and the development of advanced numerical methods for geodynamic simulations. The research group operates within the Geodynamics & Geophysics team at JGU Mainz, utilizing high-performance computing resources and collaborating with multiple European research initiatives including IMPRS and FORTHEM networks. Their laboratory specializes in numerical modeling of Earth systems with applications to tectonics, volcanology, and crustal evolution.
Nathanael S. Gray , Krishnan-Shah Family Professor at Stanford University , holds concurrent appointments in the Stanford Cancer Institute , Chem-H , and Innovative Medicines Accelerator . His research integrates synthetic chemistry, protein biochemistry, and cancer biology to develop novel therapeutic strategies. PhD in Organic Chemistry (1999) and BS with Highest Honor (1995) from UC Berkeley Director of Biological Chemistry at GNF (2000-2006) Faculty at Dana-Farber/Harvard (2006-2021) Research focuses on kinase inhibitors (BCR-ABL, ALK, EGFR mutants), molecular glue degraders (CDK12/13, BRD4, CK1α), and epigenetic rewiring (KAT-TCIPs for BCL6-driven cancers). Recent work explores antimalarial kinase inhibitors and immunomodulatory degraders for solid and hematologic malignancies. Publication trends show expertise in targeted protein degradation (15/15 articles), kinase pharmacology (12/15), oncogenic driver targeting (9/15), and parasitic disease (4/15). Scientific awards include National Science Foundation Career (2007) Paul Marks Prize (2019) Hope Funds for Cancer Research (2023) Advises 30+ doctoral students and postdocs, with grants spanning oncology , infectious disease , and immunology . Leads drug development programs for KRAS, HER3, and BCL6 targets.
Ansgar Jüngel is a Full Professor for Analysis of Nonlinear Partial Differential Equations (PDEs) at the Technische Universität Wien (TU Vienna), affiliated with the E101-Institute for Analysis and Scientific Computing. His academic journey includes roles at universities in Berlin, Konstanz, Mainz, and Vienna since 1991. He specializes in mathematical analysis of cross-diffusion systems, entropy methods, semiconductor models, and quantum fluid dynamics. Notable achievements include an ERC Advanced Grant (2021) and the Tsungming-Tu Award (2011). Research focuses on nonlinear PDEs with applications in physics, engineering, and biology, emphasizing rigorous existence theory, numerical methods, and entropy-based approaches. Recent projects include 'Emerging network structures and neuromorphic applications' and 'Taming complexity in partial differential systems.' His teaching includes courses on partial differential equations, calculus of variations, and computational finance. Publications span over 200 works, with key contributions on cross-diffusion models, quantum hydrodynamics, and energy-transport systems. He has supervised numerous PhD students and collaborates internationally on topics like semiconductor simulations and stochastic interacting particle systems. Grants include an FWF Special Research Programme and ERC funding.
Charles Monroe is a Professor of Engineering Science and Alexander Mosley Fellow at St Peter’s College, University of Oxford. He serves as a College Tutor in Engineering Science, Vice-Master, and Fellow for IT and Website. His research focuses on electrochemical devices for energy storage and conversion, particularly batteries and fuel cells. He joined St Peter’s in 2015 after being an Assistant Professor of Chemical Engineering at the University of Michigan. Monroe holds a PhD in Chemical Engineering from UC Berkeley (near Palo Alto, California) and an undergraduate degree from Princeton. Education: Bachelor’s degree from Princeton University PhD in Chemical Engineering from University of California, Berkeley Research Interests: Monroe’s work bridges theoretical and experimental approaches to study electrochemical systems, emphasizing the interplay between material properties and device performance. His group investigates next-generation batteries for electric vehicles, long-lived batteries for renewable energy integration, and degradation mechanisms in lithium-ion batteries. Collaborations with companies like Bosch, Ford, and Procter & Gamble highlight practical applications of his research. Publications: Recent work spans advanced battery technologies, including solid-state systems, flow batteries, and electrolyte transport modeling. Key themes include voltage hysteresis, solvent segregation effects, and membrane fouling in redox flow batteries. Scientific Awards: No specific awards mentioned in the provided text. Advising & Grants: Leads the Monroe Research Group, collaborating with industry partners. His work is funded through partnerships with multinational companies, supporting projects on battery design and energy storage systems. No individual student names are listed, but the group actively engages in graduate research. Labs/Teams: Monroe Research Group focuses on electrochemical engineering, with facilities for experimental and computational studies in energy storage technologies.
Sir Harshad Bhadeshia is a renowned Indian-British metallurgist and Professor of Metallurgy at Queen Mary University of London since 2022. Previously, he held the Emeritus Tata Steel Professorship at the University of Cambridge, where he worked from 1980 until his move to Queen Mary. His research focuses on the theory of solid-state transformations in multicomponent steels , aiming to create novel alloys and processes with minimal resource use. Education: BSc from City of London Polytechnic, PhD from University of Cambridge (1980) under David V. Edmonds Research Areas: Phase transformations in steel, computational modeling, neural networks, Bainite, welding technology, hydrogen embrittlement resistance, nanostructured materials Scientific Awards: Bessemer Gold Medal (2006), Hume Rothery Prize (1992), Rosenhain Medal (1994), Knight Bachelor (2015), Adolf Martens Medal (2017), William Menelaus Medal (2025) Editorial Roles: Editor for Materials Science and Engineering: A , Materials Science and Technology , and Science and Technology of Welding and Joining Students: Roger Reed, Rachel Thomson His Google Scholar publications (over 650) cover topics in metallurgy, phase transformations, computational modeling, hydrogen resistance, and AI in materials science, with a significant emphasis on Bainite, welds, and nanostructured steels. The SKF University Technology Centre (2009-2019) and Computational Metallurgy Laboratory (2005-18) highlight his leadership in industrial collaborations and international research. His scientific awards and fellowships (Royal Society, Royal Academy of Engineering, Institute of Materials, Minerals and Mining) underscore his global recognition.
Dr. Tracey Sletten is an Associate Professor (Research) in Psychology at Monash University's Turner Institute for Brain & Mental Health. She specializes in sleep and circadian rhythm research, particularly focusing on shift work impacts, fatigue management, and light-based interventions. Her work contributes to UN Sustainable Development Goals related to health and well-being. Dr. Sletten holds a PhD from the University of South Australia and has held postdoctoral roles at the University of Surrey and Harvard Medical School. She has led major projects on sleep interventions for shift workers, including the 'Zest' digital app and studies on Antarctic expeditioners' circadian rhythms. Education: PhD, University of South Australia (2000s) Postdoctoral Fellowships: University of Surrey (UK), University of Zurich (Switzerland), Harvard Medical School Research Interests: Impact of circadian misalignment on neurobehavioral performance Shift work disorder treatment and prevention Light's role in alertness and mental health Personalized sleep management strategies Key Projects: Principal Investigator for 'Optimising sleep, alertness and safety in shift work industries' (2024–2027) Chief Investigator in international task forces on sleep and youth mental health (2024–2029) Co-developer of the Zest app for shift worker sleep management Honors: 2023 Australian Research Council Industry Fellowship 2012 Australasian Sleep Association Helen Bearpark Scholarship 2005 European Union Marie Curie Fellowship Media & Outreach: Active in public engagement through podcasts (e.g., Talklink ), radio (ABC, BBC), and media features on shift work solutions.
David Salac, PhD, is an Associate Professor in the Department of Mechanical and Aerospace Engineering at the University at Buffalo, part of the School of Engineering and Applied Sciences. His research focuses on computational fluid dynamics, material systems with moving interfaces, numerical methods, directed self-assembly, and high performance computing. He holds a PhD and MS from the University of Michigan (2007) and a BS from Michigan Technological University (2002). Education: PhD in Mechanical Engineering, University of Michigan, 2007 MS in Mathematics, University of Michigan, 2007 BS in Mechanical Engineering, Michigan Technological University, 2002 His research interests span computational modeling of fluid-structure interactions, vesicle dynamics, and advanced material systems. He has developed numerical methods for partial differential equations and explored applications in biophysics and materials science. Recent work includes studies on microplastic transport, ceramic matrix composites, and membrane physics. Salac has received the NSF CAREER Award (2013) for his work on electrohydrodynamics of vesicles. His publications emphasize interdisciplinary approaches to fluid dynamics and materials science challenges. His advising and grants include contributions to NSF-funded research and collaborative projects in computational engineering. He maintains active research in labs focusing on computational mechanics and soft matter systems.
Yu-Shu Wu is a Professor in the Department of Petroleum Engineering at the Colorado School of Mines, where he contributes to advanced research in reservoir engineering and subsurface flow modeling. He is affiliated with the Energy Modeling Group, focusing on cutting-edge simulation techniques for complex geological systems. Education: Ph.D. in Reservoir Engineering, University of California at Berkeley M.S. in Reservoir Engineering / Hydrogeology, University of California at Berkeley M.S. in Reservoir Engineering, Southwest Petroleum Institute, China B.S. (Equivalent) in Reservoir Engineering, Daqing Petroleum Institute, China His research centers on reservoir dynamics and simulation, with emphasis on mathematical modeling of flow and transport in geologic media. Key areas include coupled processes involving multiphase fluid flow, multicomponent chemical transport, CO 2 flooding, heat transfer, and hydro-mechanical interactions in fractured and deforming reservoirs. He also specializes in well testing analysis for subsurface characterization. While no specific publications are listed in the source text, his research scope suggests strong contributions to computational petroleum engineering, geomechanics, and sustainable energy technologies such as carbon capture and storage (CCS) and enhanced oil recovery (EOR). Scientific Awards: Dr. Wu advises graduate students and leads research initiatives within the Energy Modeling Group. Although specific grants and advisees are not mentioned, his long-standing academic and research profile indicates active supervision and external funding support in energy modeling and reservoir simulation. He is associated with the Energy Modeling Group at the Colorado School of Mines, which likely involves interdisciplinary collaboration on energy resource development, subsurface modeling, and environmental impact assessment.
Rainer Hahn is an Associate Professor in Biochemical Engineering at the Institute of Biochemical Engineering, Department of Biotechnology and Food Sciences, University of Natural Resources and Life Sciences, Vienna (BOKU). He also serves as Head of the Downstream Processing Unit at the BioIndustrial Pilot Plant and is a key researcher at the Austrian Center of Industrial Biotechnology (ACIB). His work is centered on bioprocess engineering with a strong focus on downstream processing and biopharmaceutical purification. University: University of Natural Resources and Life Sciences, Vienna (BOKU) School: Department of Biotechnology and Food Sciences Department: Institute of Biochemical Engineering Role: Associate Professor, Head of Downstream Processing Unit His research interests span Bioprocess Engineering , Downstream Processing , Industrial Biotechnology , Pharmaceutical Technology , and Chemical Biology . He investigates advanced purification techniques, particularly in chromatography and protein separation processes. His recent work emphasizes multicomponent adsorption, protein A affinity systems, and purification of complex biomolecules like secretory immunoglobulin A (sIgA). The trend in his recent publications reveals a strong emphasis on protein purification , chromatographic modeling , and process optimization in biopharmaceutical manufacturing. His work integrates experimental analysis with mathematical modeling to improve efficiency and predictability in downstream operations, especially in multi-component systems. Topics such as continuous chromatography , pH transients , and affinity resin development reflect his leadership in advancing industrial bioprocessing. His notable scientific awards include: HOUSKA PRIZE (Recognition Award) - 2016 Dissertation Prize of the Austrian Society for Biotechnology - 2002 Rainer Hahn has been actively involved in numerous research projects funded by FWF, national enterprises, and private foundations, focusing on biopharmaceutical purification and process development. He mentors students and contributes to academic training through lectures and supervision. He is also a dedicated reviewer for leading journals such as Journal of Chromatography A , Biotechnology and Bioengineering , and Separation and Purification Technology . His work is closely tied to industrial applications, particularly in the development of scalable and efficient biomanufacturing processes. He is associated with the BioIndustrial Pilot Plant and collaborates with ACIB, contributing to innovation in industrial biotechnology. His research group focuses on developing robust downstream strategies for next-generation biopharmaceuticals.
Penghui Cao is an Associate Professor at the Samueli School of Engineering, University of California, Irvine, with a joint appointment in Materials Science and Engineering. His research focuses on the fundamental mechanisms of material deformation and failure under extreme conditions. Key affiliations: Mechanical and Aerospace Engineering, Materials Science and Engineering Research areas: Plastic deformation, phase transitions, radiation damage tolerance, and machine learning applications in materials science Recent publications highlight his work on high-entropy alloys, nanomechanics, and additive manufacturing processes. His studies integrate atomistic simulations and experimental validations to understand material behavior at extreme scales. His laboratory, the Laboratory for Extreme Mechanics & Materials , investigates phenomena such as shock compression, chemical ordering, and grain boundary dynamics.
Hamid Emami-Meybodi is an Associate Professor at the Pennsylvania State University within the Department of Energy & Mineral Engineering (College of Earth and Mineral Sciences). His research focuses on unconventional reservoirs, hydrocarbon recovery, and carbon dioxide sequestration in geological formations. Research Themes : Climate and Natural Systems, Integrated Energy Systems Affiliations : Affiliate Researcher, International Energy Agency (IEE) Research Interests include hydraulic fracturing, gas transport in nanoporous media, diffusion coefficients, and enhanced oil recovery techniques. His work often integrates machine learning with energy systems analysis. Recent Publications emphasize binary gas transport modeling, CO₂ storage optimization, and unconventional reservoir dynamics, with applications to shale gas, hydrogen storage, and climate impact assessments. Collaborations span institutions in China, Canada, and Kazakhstan, including projects on CCUS (Carbon Capture, Utilization, and Storage) and AI applications in energy industries. Laboratory Focus : His research involves advanced modeling of fluid transport in dual-scale porous media and surface diffusion mechanisms in unconventional reservoirs.
Sir Harshad Bhadeshia is Professor of Metallurgy at the School of Engineering and Materials Science, Queen Mary University of London. A distinguished academic holding Fellowships of the Royal Society (FRS), Royal Academy of Engineering (FREng), and Institute of Materials, Minerals and Mining (FIMMM), his career has been dedicated to advancing the fundamental understanding of metallurgical phenomena with practical industrial applications. His work bridges theoretical developments with real-world engineering challenges in steel technology and sustainable materials design. Professor Bhadeshia's research focuses on the theory of solid-state phase transformations, with particular emphasis on predicting and verifying structural development in complex metallic alloys, especially multicomponent steels. His interests span physical and chemical metallurgy, phase transformations, mathematical modeling, alloy design, and materials algorithms. He has made significant contributions to understanding hydrogen interaction with iron and its compounds, bainite formation, and the development of nanostructured steels with exceptional properties. His work on computational approaches to materials science has led to practical tools for steel design and manufacturing. Analysis of his recent publications reveals a sustained focus on fundamental metallurgical phenomena with practical applications across multiple domains. His research spans steel design for specific applications (rails, welds), phase transformations (bainite, pearlite), hydrogen-related phenomena, and computational materials science. A consistent theme is the integration of theoretical understanding with practical engineering solutions, particularly in addressing challenges related to sustainability, hydrogen embrittlement, and advanced manufacturing techniques like additive manufacturing. Fellow of the Royal Society (FRS) Fellow of the Royal Academy of Engineering (FREng) Fellow of the Institute of Materials, Minerals and Mining (FIMMM) Knighthood for services to metallurgy Extensive publication record spanning decades Development of freely available teaching resources through the Materials Algorithms Project (MAP) Professor Bhadeshia has mentored numerous researchers throughout his career, evident from his extensive collaborative publication record. His work has been supported by significant research grants, particularly in the areas of steel development, phase transformations, and sustainable engineering. He has led major research projects addressing critical challenges in materials science, including hydrogen embrittlement, high-temperature performance of steels, and computational design of advanced alloys. His research group has made substantial contributions to understanding the fundamental mechanisms governing steel behavior under various conditions. Based at Queen Mary University of London, Professor Bhadeshia leads research within the Centre for Sustainable Engineering. His team focuses on metallurgy, particularly steel research, phase transformations, and computational materials science. Current research directions include developing steels with enhanced resistance to hydrogen embrittlement, designing sustainable steel alloys with reduced carbon footprint, and advancing computational methods for predicting microstructure-property relationships. The group maintains strong industry collaborations, ensuring their research addresses real-world engineering challenges while advancing fundamental scientific understanding.
Ghislaine M.E. Vantomme is an Assistant Professor at Eindhoven University of Technology, leading the Supramolecular Chemistry and Materials group within the Department of Chemical Engineering and Chemistry. Her research focuses on developing adaptive, self-learning supramolecular materials inspired by living systems, integrating organic synthesis, systems chemistry, and materials science. Key areas include molecular computing, bio-(opto)electronics, and sustainable materials design. Academically, she holds a PhD from Strasbourg University (2014) under Prof. Jean-Marie Lehn, and postdoctoral experience at TU Eindhoven with Prof. Bert Meijer. Notable grants include the NWO Veni (2017) and VIDI (2024), alongside the 2026 New Horizons Solvay Lectureship. She teaches advanced organic chemistry courses for engineering and premaster students. Her work contributes to UN Sustainable Development Goals through eco-friendly material innovations. Research highlights include self-regulating hydrogels, chiral semiconductor films, and phase-separated nanomaterials. She collaborates internationally, with recent media coverage on molecular computing and optoelectronic material breakthroughs. Education: PhD in Supramolecular Chemistry, Strasbourg University (2014) MSc, Sorbonne University (Paris) BSc, École Normale Supérieure (Cachan) Research Themes: Biomimetic materials, adaptive systems, molecular self-assembly, chiral optoelectronics. Grants & Awards: NWO Veni (2017) NWO VIDI (2024) Solvay Lectureship (2026) Teaching: Organic Chemistry 1/2, Advanced Molecular Chemistry.
