Find Academic Supervisors

Ezra GolbersteinView profile

Professor

• Health economics
• Health care policy
• Mental health
• +4 more

Ezra Golberstein, PhD, is a Professor in the Division of Health Policy & Management at the University of Minnesota's School of Public Health. His academic journey includes a PhD in Health Services Organization and Policy from the University of Michigan (2008) and a BA from Brandeis University (2001). His research focuses on the intersection of health services and policy research with health economics, particularly in mental health services and policy. Golberstein's research interests span health economics , health care policy , mental health , quantitative methods , health insurance , human capital , and non-medical determinants of health . His work examines how health insurance changes, provider incentives, and practice innovations affect healthcare use and outcomes for people with mental health problems. He has published extensively on mental health services utilization, insurance coverage effects, and policy interventions aimed at improving mental healthcare access and quality. His publication record shows consistent scholarly output from 2007 through 2023, with recent work focusing on healthcare delivery innovations, mental health economics, and the impact of policy changes on vulnerable populations. His research demonstrates methodological rigor using quantitative approaches to address pressing questions in health policy. Member, Delta Omega Honorary Society in Public Health Golberstein's research has significant implications for health policy development, particularly in mental healthcare financing and delivery systems. His work on geographic variations in mental health services, insurance parity effects, and innovative service delivery models provides evidence to inform policymakers and healthcare administrators. His studies on college student mental health have contributed to understanding barriers to care and developing more effective campus mental health programs.

Helen JarvieView profile

Professor

• River Biogeochemistry
• Nutrient Cycling
• Eutrophication
• +5 more

Helen Jarvie is a Professor of Water and Global Environmental Change at the University of Waterloo, Canada. She holds adjunct and visiting professor positions at the University of Arkansas (Fluvial Sciences), Plymouth University (Environmental Chemistry), and the University of Tokyo (Water Quality Science), and is a UK Centre for Ecology & Hydrology Fellow. Her research centers on river-system biogeochemistry, with intense focus on nutrient (phosphorus and nitrogen) cycling, eutrophication, and water quality across watershed-to-global scales. She investigates how climate variability, land-use change, and human activities drive water-quality impairment, and develops strategies for improved nutrient stewardship to build resilience in water resources. Her work uniquely bridges the critical tension between phosphorus-dependent food security and water-quality protection, given phosphate rock's non-renewable status. Analysis of her 2015-2019 publications reveals dominant trends in phosphorus dynamics research, spanning watershed management, global phosphorus budgets, and the water-energy-food nexus. Key themes include unintended consequences of agricultural conservation practices on soluble phosphorus loads, stoichiometric responses to hydrologic extremes, and sustainable phosphorus stewardship frameworks addressing eutrophication while ensuring resource security for future food production.

Lydia BourouibaView profile

Professor

• Fluid Dynamics
• Disease Transmission
• Biophysics
• +6 more

Professor Lydia Bourouiba is a faculty member at the Massachusetts Institute of Technology (MIT), affiliated with the Department of Civil and Environmental Engineering and the Institute for Medical Engineering and Science (IMES). Her research focuses on the intersection of fluid dynamics and disease transmission, with a strong emphasis on biophysics, interfacial flows, turbulence, and multiphase systems. Ph.D. in Applied Mathematics from McGill University (2008) Research on fluid fragmentation, droplet/bubble dynamics, and pathogen transport Co-Founder and Associate Director of the NSF Center for Pandemic Prevention (APPEX) Her work spans fundamental and applied domains, including: Biophysics of pathogen transport in air and water Turbulent multiphase flows in respiratory events Fluid-plant interactions in agricultural disease Nonlinear dynamics in public health contexts Key article trends highlight: Biomedical fluid mechanics Climate and environment-driven disease modeling High-risk/high-reward public health innovations Interdisciplinary approaches combining physics, biology, and engineering Scientific awards include: Fellow of the American Physical Society (2021) American Institute for Medical and Biological Engineering Fellow (2022) Smith Family Foundation Odyssey Award for biomedical research Ole Madsen Mentoring Award She serves as Associate Editor for the journal FLOW and has founded conferences like the Gordon Research Conference on Fluids in Disease Transmission. Her lab (Fluids and Health Network) develops experimental and theoretical frameworks to address contamination, pandemic control, and fluid-health-environment interactions.

Mehrdad NojoumianView profile

Associate Professor

• Security
• Privacy
• Trust
• +10 more

Mehrdad Nojoumian is an Associate Professor at Florida Atlantic University's College of Engineering and Computer Science, specializing in Security, Privacy, Trust, and Human-Autonomy Interaction. His research bridges computer science with FinTech and autonomous systems, focusing on cryptographic protocols, blockchain, and IoT security. PhD, University of Waterloo (Computer Science, 2012) MSc, University of Ottawa (Computer Science, 2007) BSc, Islamic Azad University (Computer Engineering, 2002) His research explores privacy-preserving mechanisms in autonomous systems, trust modeling in blockchain, and cross-disciplinary applications of cryptography. Recent work includes patents on adaptive driving modes and ongoing studies on IoT vulnerabilities and autonomous coordination. Notable awards include the Excellence and Innovation in Undergraduate Teaching Award (2023), NAI Induction (2022), and multiple Best Paper Awards . His publications span journals like Information and Computation and conferences such as GameSec and IEEE Blockchain . He mentors graduate students in cybersecurity bootcamps, high school outreach programs, and collaborative research projects funded by NSF , ARO-AFOSR , and AFRL . His lab emphasizes diversity and inclusion, particularly supporting underrepresented groups in STEM.

• Hydraulic Engineering
• Hydrology
• Computational Hydraulics
• +6 more

Alessia Ferrari is a fixed-term researcher in the Department of Engineering and Architecture at the University of Parma, Italy. She lectures on Hydrology within the Bachelor’s degree programme in Civil and Environmental Engineering and serves as the reference teacher for the same programme across multiple academic years (2020/2021 – 2025/2026). Research Focus Ferrari’s research integrates advanced numerical modelling with real-world flood-risk management. Key themes include: High-resolution 2-D shallow-water simulations using GPU-parallel codes. Porosity-based approaches for large-scale urban flood modelling. Levee-breach hydraulics and emergency-action planning. Calibration of hydraulic models using tools such as PEST. Integration of machine-learning techniques with physics-based flood forecasting. Publication Trends Across more than 25 peer-reviewed works (2015-2025), Ferrari has concentrated on computational hydraulics applied to extreme flood events in Northern Italy (e.g., Parma 2014, Lamone 2024). Her papers consistently advance numerical schemes (ADER, HLLEM Riemann solvers) and GPU acceleration while validating models against field data, thereby bridging theoretical development and practical flood-mitigation strategies. Contact & Office E-mail: alessia.ferrari@unipr.it Office: Science and Technology Campus – Pavilion 10, Engineering Scientific Headquarters, Parco Area delle Scienze 181/A, 43124 Parma, Italy.

• Glacial Geomorphology
• Palaeoglaciology
• Quaternary Science
• +6 more

Professor David J.A. Evans is a distinguished glacial geomorphologist at Durham University's Department of Geography. His research spans three interconnected themes at the interface of glacial geology and Quaternary science, focusing on palaeoglaciology and the reconstruction of former glaciers and ice sheets through time. With extensive field experience across the Arctic, North Atlantic, and Southern Hemisphere, he has contributed significantly to the understanding of glacial landscapes and processes globally. BA (Hons), St. David's University College, University of Wales, Lampeter, 1982 MSc, Memorial University of Newfoundland, Canada, 1984 PhD, University of Alberta, Canada, 1988 Professor Evans' research centers on glacial landsystems, glacial sedimentology, and Quaternary palaeoenvironments of glaciated basins. His work develops conceptual landsystems models for glacial process-form relationships, with field sites ranging from the Canadian High Arctic to mid-latitude mountains. He has pioneered research connecting subglacial process-form relationships to landform development models, particularly through his studies of active temperate glacier margins in Iceland. His sedimentological work has established a genetically framed classification scheme for tills and glacitectonites. Evans has contributed to major ice sheet reconstructions worldwide, including the British and Irish Ice Sheet (through the BRITICE-CHRONO project), Laurentide Ice Sheet, and Arctic Norway. His extensive publication record demonstrates consistent research activity with 15 recent articles focusing on ice sheet dynamics, glacial landform evolution, and Quaternary environmental reconstruction across multiple continents. These works reveal a strong emphasis on methodological innovation in mapping and analyzing glacial landscapes, with increasing integration of remote sensing and quantitative approaches to understand both contemporary glacier behavior and past ice sheet dynamics. Scientific Recognition: Busk Medal (Royal Geographical Society), 2017, for excellence and originality in the study of glacial landscapes and processes and empowering the next generation Professor Evans has collaborated extensively with international research teams on major projects including BRITICE-CHRONO and has contributed to engineering geology applications through technical guides for glaciated terrains. His work bridges pure academic research with practical applications in engineering geology and environmental management. He has supervised numerous field guides and edited influential publications in glacial geomorphology. His research involves extensive fieldwork in Iceland (particularly on the Vatnajökull ice cap), the British Isles, Canadian Arctic, and other glaciated regions, often using modern glacier systems as analogues for reconstructing past ice sheets. Evans has developed significant expertise in glacial landsystem mapping and interpretation, contributing to both academic understanding and practical engineering applications in glaciated terrains.

Nicholas M. KanaanView profile

Professor

• Neurodegenerative Diseases
• Alzheimer's Disease
• Parkinson's Disease
• +6 more

Nicholas M. Kanaan is a Professor of Translational Neuroscience and holds the Maibach Smiley Professorship of Alzheimer's Research at Michigan State University's College of Human Medicine. He serves as Director of Advanced Microscopy and is faculty in both the MSU Neuroscience Program and the MSU BioMolecular Science Gateway. His research is centered at the Grand Rapids Research Center where he leads the Kanaan Laboratory. Dr. Kanaan received his B.S. in Neuroscience, Psychology, and Sociology from Central Michigan University in 2001, followed by a Ph.D. in Neurological Sciences from Rush University Medical Center in 2007. He completed postdoctoral training at Northwestern University from 2007-2010 under Dr. Lester Binder. His research focuses on neurodegenerative diseases, particularly Alzheimer's disease (AD) and Parkinson's disease (PD), with emphasis on tau protein pathology. The Kanaan Lab investigates mechanisms underlying degenerative diseases using a combination of in vitro and in vivo model systems. A major focus is understanding how disease-related alterations in tau cause neuronal dysfunction through disruption of axonal transport. His lab has identified a phosphatase-activating domain (PAD) in tau that inhibits anterograde fast axonal transport. Analysis of Dr. Kanaan's publication record reveals a consistent focus on tau protein biology, with recent work emphasizing iPSC models, CRISPR screening, tau proteostasis, and therapeutic interventions targeting tau phosphorylation and oligomerization. His research spans basic molecular mechanisms to translational applications, with increasing use of primate models and advanced screening technologies in recent years. Scientific Awards and Recognition: Maibach Smiley Alzheimer's Research Professor Maibach Smiley Professor of Alzheimer's Research Dr. Kanaan mentors numerous students and postdoctoral fellows in his laboratory, with research supported by multiple grants focused on understanding and treating neurodegenerative diseases. His lab employs a wide range of technical expertise including recombinant protein purification, cell culture, monoclonal antibody production, various microscopy techniques, and behavioral testing in rodent models. Outside the lab, Dr. Kanaan enjoys photography, woodworking, and fishing.

• Quantum Chromodynamics (QCD)
• Heavy Quark Physics
• Lattice Gauge Theory
• +4 more

Antonio Vairo is a full Professor at the Department of Physics, TUM School of Natural Sciences, Technical University of Munich, where he holds the Chair of Theoretical Physics - Applied Quantum Field Theory (T39) at the James-Franck-Str. 1/I campus in Garching bei München. His research focuses on the theoretical foundations of quantum chromodynamics with emphasis on heavy quark systems and non-perturbative phenomena. Professor Vairo's primary research interests include Quantum Chromodynamics (QCD), Heavy Quark Physics, Lattice Gauge Theory, Effective Field Theories, and Exotic Hadron Spectroscopy. His work bridges computational approaches with analytical frameworks to investigate quarkonium dynamics in extreme environments like the quark-gluon plasma, while developing novel applications of Born-Oppenheimer effective theory to multi-quark systems. Recent investigations extend into dark matter bound state formation in the early universe, demonstrating interdisciplinary reach across particle physics and cosmology. Analysis of his 2024-2025 publications reveals three dominant research thrusts: (1) quarkonium suppression mechanisms in heavy-ion collisions using open quantum systems approaches, (2) high-precision lattice QCD computations of static forces and chromoelectric correlators, and (3) systematic development of effective field theories for exotic hadrons and dark matter pairs. His work on pNRQCD (potential non-relativistic QCD) provides critical connections between lattice results and experimental observables in heavy-ion physics. Professor Vairo maintains active research leadership through collaborations with international groups including the Belle II experiment, as evidenced by his contributions to 'The Belle II Physics Book'. His methodological innovations in applying quantum trajectory methods to quarkonium evolution and developing FeynOnium computational tools for effective field theories demonstrate significant technical contributions to the field. Current research directions emphasize next-to-leading order corrections in heavy quark dynamics and Debye mass effects in dark matter bound state formation.

Tommaso GabrieliView profile

Associate Professor

• Urban Economics
• Real Estate Valuation
• Behavioral Economics
• +12 more

Dr. Tommaso Gabrieli is an Associate Professor in Real Estate at the Bartlett School of Planning, University College London (UCL), where he has been employed since September 2015. His academic career spans multiple institutions including the University of Reading, City University London, University of Warwick, and the Catholic University of Milan. His educational background includes: PhD in Economics from the University of Warwick (2009) MSc in Economics from the London School of Economics and Political Science (2003) Fellowship of the Higher Education Academy from the University of Reading (2013) As a theoretical economist trained in the ambrosian tradition of social welfare, Gabrieli's research focuses on the economic analysis of urban policy issues. His expertise encompasses economic modeling of real estate markets, financial viability of urban projects, multi-dimensional value measurements, and value-capture mechanisms. He has developed novel interdisciplinary methods bridging urban planning and design with economics, making him one of few economists actively collaborating with urban planning scholars in the UK. His work addresses Sustainable Development Goals including No Poverty, Good Health, Decent Work, Reduced Inequalities, Sustainable Cities, and Climate Action. His recent publications demonstrate a strong focus on urban design governance, value capture mechanisms, and the interface between economic theory and urban planning practice. The research spans theoretical explorations of post-growth planning and practical applications in land value recovery, particularly examining implications for housing affordability, wealth distribution, and community wellbeing in both urban and rural contexts. His work often integrates behavioral economics with spatial planning considerations. Professional recognition includes: Fellow of the Higher Education Academy Gabrieli has extensive experience supervising PhD and MSc dissertations across multiple institutions. His teaching portfolio includes Real Estate Appraisal and Valuation at UCL, where he leads relevant modules for both undergraduate and graduate programs. He has contributed to significant research projects including 'Street Appeal' commissioned by Transport for London and the Horizon 2020-funded 'UrbanMaestro' project worth 1 million Euros. His research impact has been formally recognized by Transport for London. Currently, he leads the 'Future Urban Growth Lab' project, funded by UCL Knowledge Exchange and Innovation Funding, in partnership with the Royal Town Planning Institute and Politecnico of Turin. This project aims to operationalize an urban growth model prototype for use by local authorities in planning future city development, bridging academic research with practical planning applications.

Vinod M. VokkaraneView profile

Professor

• Cyber-Physical Systems
• Network Optimization
• Reliability
• +7 more

Vinod M. Vokkarane is a Professor in the Department of Electrical and Computer Engineering at the University of Massachusetts Lowell, where he serves as Director of the Center for Smart Cyber-Physical Systems (SCyPS) and Director of Advanced Computer Network Labs. Previously, he was an Associate Professor at University of Massachusetts Dartmouth from 2004 to 2013 and a Visiting Scientist at MIT's Research Laboratory of Electronics from 2011 to 2014. His extensive research portfolio spans multiple domains of advanced networking and cyber-physical systems. Dr. Vokkarane earned his educational foundation with a B.S. from University of Mysore, India (1999), followed by an M.S. (2001) and Ph.D. (2004) in Computer Science from the University of Texas at Dallas. His dissertation focused on optical burst-switched networks, establishing the foundation for his future research trajectory. His research interests center on Cyber-Physical Systems, Network Optimization, Reliability, Smart Grids, and Cyber-Security, with particular expertise in the design, analysis, and modeling of architectures, protocols, and algorithms for ultra-high speed networks including Optical networks, Grid/Cloud networks, and Big-data networks. His work bridges theoretical foundations with practical implementations, often addressing critical challenges in network reliability, security, and efficiency. His research has received significant recognition through numerous best paper awards and substantial external funding. Analysis of his recent publications reveals a clear evolution toward increasingly sophisticated integration of cyber-physical systems with power infrastructure, particularly in the areas of grid resilience and observability. His work has expanded from fundamental optical networking research to address critical infrastructure challenges, with a growing emphasis on machine learning applications for network optimization and power system monitoring. The recent focus on PMU networks, disaster resilience, and cyber restoration demonstrates his strategic pivot toward addressing national security and critical infrastructure protection challenges. UMass Dartmouth Scholar of the Year Award (2011) UMass Dartmouth Chancellor's Innovation in Teaching Award (2010-11) University of Texas at Dallas Computer Science Dissertation of the Year Award (2003-04) Multiple Best Paper Awards including IEEE GLOBECOM 2005, IEEE ANTS 2010, ONDM 2015, ONDM 2016, and IEEE ANTS 2016 Texas Telecommunications Engineering Consortium Fellowship (2002-03) Dr. Vokkarane has successfully mentored numerous graduate students who have contributed significantly to his research projects, with several going on to successful careers in academia and industry. His research has been consistently supported by major funding agencies including NSF, DOE, and USMC, with recent projects totaling over $5 million in funding. Current projects include Unified Post-Disaster Restoration Planning for Cyber-Physical Power Distribution Systems (ONR, $550K), CyberCARE: Northeast University Cybersecurity Center (DOE, $3.5M), and Flexible Spectrum Allocation in Next-Generation Optical Networks (NSF, $350K). He leads the Center for Smart Cyber-Physical Systems (SCyPS) and Advanced Computer Network Labs at UMass Lowell, where his research teams work on cutting-edge problems in network architecture, cyber-physical security, and infrastructure resilience. His labs collaborate extensively with national laboratories and industry partners to translate theoretical advances into practical solutions for real-world infrastructure challenges.

• Hydrogeology
• Groundwater flow and transport modelling
• Contaminant hydrogeology
• +5 more

Thomas Rüde is Universitätsprofessor for Hydrogeology at RWTH Aachen University , Germany, where he leads the Hydrogeology group within the Faculty of Georesources and Materials Engineering. Holding the chair since 2005, he also serves as Managing Director of the Vereinigung Aachener Geowissenschaftler e.V. and has previously been Vice-President (2008-2014) and Executive Council member (2000-2008) of the International Mine Water Association (IMWA). Education 2004 – Privatdozent (Dr. rer. nat. habil.), University of Munich 1995 – Dr. rer. nat., University of Karlsruhe 1991 – Diplom-Geologe, University of Karlsruhe Research focus Professor Rüde’s work centres on understanding and modelling flow and reactive transport in complex aquifer systems . Key themes include: Contaminant hydrogeology – behaviour of geogenic arsenic and uranium in groundwater Groundwater protection and remediation – risk assessment and mitigation strategies Mine-water management – acid mine drainage, dewatering-well clogging, post-mining landscapes Tracer and hydraulic testing – field experiments to quantify subsurface heterogeneity Numerical modelling – high-performance simulation of multi-aquifer systems and karst His research spans Europe (Germany, Austria, Netherlands), Latin America (Mexico, Indonesia) and South-East Asia, frequently in close collaboration with local universities and industry partners. Publication trends Since 2010, Rüde has published extensively on geogenic contamination (As, U, F) in sedimentary and volcanic aquifers, mine-water impacts , and karst hydraulics . Recent work (2022-24) highlights advanced environmental tracers (gadolinium), transboundary groundwater issues, and the sustainable management of post-mining landscapes under climate change. Numerical models range from site-scale dewatering optimisation to catchment-scale coupled flow-transport simulations. Scientific awards & recognition Best Teaching Award 2010 – RWTH Aachen University Best Teaching Award 2012 – RWTH Aachen University Best Teaching Award 2014 – RWTH Aachen University Supervision & academic service Since 1998 he has taught hydrogeology through lectures, seminars, laboratory and field courses, and computer-based modelling labs. To date he has supervised: 13 PhD candidates 34 Diploma students 57 MSc students 63 BSc students He is Chairman of the Study Commission for the BSc programme in Georesources Management at RWTH Aachen, ensuring curriculum development and quality assurance. Laboratory & field infrastructure His group operates modern hydrochemical laboratories for trace-element analyses and maintains field stations for tracer experiments in Germany, Mexico and Indonesia. High-performance computing resources (in collaboration with the Jülich Supercomputing Centre) enable large-scale groundwater modelling and Monte-Carlo uncertainty assessments.

Michael EllisView profile

Associate Professor

• Fuel Cell Systems
• Energy Systems Modeling
• Building Energy Consumption
• +8 more

Michael Ellis is an Associate Professor in the Department of Mechanical Engineering at Virginia Tech since 2012, with prior roles as Associate Professor and John R. Jones Faculty Fellow (2007–2012). His work spans fuel cell systems, energy modeling, and sustainable technologies. Ph.D. , Mechanical Engineering, Georgia Institute of Technology (1996) M.S. , Mechanical Engineering, Georgia Institute of Technology (1993) B.S. , Mechanical Engineering, University of Tennessee (1985) Research interests include fuel cell systems for building cogeneration, energy consumption modeling, industrial process analysis, and optimal hybrid energy system design. Recent work focuses on battery recycling processes, microbial fuel cells, and thermal stress characterization of membranes. His 15 most recent publications highlight trends in battery recycling scalability , fuel cell durability , microbial energy conversion , and nanomaterials for energy applications . Key subfields include membrane stress modeling, microbial adhesion mitigation, and hybrid gas/electric system optimization. Excellence in Architecture Award (2006) Woodruff Teaching Fellowship (1995) Tau Beta Pi Member Multiple teaching awards at Virginia Tech (2000–2003) As faculty advisor for the award-winning Solar Decathlon team (2002), he contributed to interdisciplinary energy projects. His work connects mechanical engineering with sustainable energy systems, focusing on practical implementations and material innovations.

Andrew ThompsonView profile

Professor

• Physical Oceanography
• Southern Ocean Dynamics
• Climate Science
• +3 more

Andrew Thompson is the John S. and Sherry Chen Professor of Environmental Science and Engineering at the California Institute of Technology. He serves as Director of the Ronald and Maxine Linde Center for Global Environmental Science and Executive Officer for Environmental Science at Caltech. With a Ph.D. from Scripps Institute of Oceanography (2006), his career at Caltech spans from Assistant Professor (2011-17) to his current Professor role since 2017. Education: B.S. in Physics from Dartmouth College (2000), C.A.S. (2001) and M.Phil. (2002) at University of Cambridge Leadership: Director of Linde Center (2023-), Academic Officer (2019-22) His research focuses on ocean circulation dynamics and physical processes governing climate systems . Key areas include: Ocean Turbulence and Submesoscale Dynamics Antarctic Circumpolar Current and Drake Passage Dynamics Climate Change Impacts on Ice Shelf Melt Rates Current projects involve ChinStrAP (Changes in Stratification at the Antarctic Peninsula), using autonomous ocean gliders to study eddy formation and air-sea exchange. His group employs idealized numerical models , remote sensing , and climate simulations to explore topics like: Warm water pathways onto Antarctic continental shelves Role of mesoscale/submesoscale eddies in ocean mixing Global overturning circulation responses to climate change Scientific achievements include the Packard Fellowship for Science and Engineering . He mentors graduate students Xiaozhou Ruan , Giuliana Viglione , and Andrew Delman , fostering interdisciplinary collaboration with institutions like Scripps Institution of Oceanography and CSIR . His group emphasizes inclusive training for early-career scientists in climate-relevant STEM careers .

• Neurodegenerative Diseases
• Motor Neuron Disease (MND)
• Frontotemporal Dementia (FTD)
• +7 more

Dr. Rebecca San Gil is a Lecturer at the School of Medical Sciences , University of Sydney, Australia. She leads the NeuroMolecular Discovery Group within the Neuroscience theme and is a member of the Charles Perkins Centre . Her research focuses on the molecular mechanisms underlying neurodegenerative diseases such as motor neuron disease (MND) and frontotemporal dementia (FTD) , with an emphasis on protein aggregation, stress responses, and therapeutic discovery. PhD, University of Wollongong (2018) Postdoctoral Research, Queensland Brain Institute (2018–2025) Endeavour Research Fellow (University College London) Her research spans molecular biology , neurosciences , and biochemistry , integrating techniques like genome-wide CRISPR screening , multi-omics analysis , and translational research . Key themes include the role of molecular chaperones , heat shock response , and protein folding dynamics in mitigating neurodegeneration. Dr. San Gil’s recent publications (2016–2025) highlight her work on TDP-43 pathology , heat shock proteins , and therapeutic strategies across ALS/FTD models. She has received awards such as the FightMND Early Career Research Fellow and the Sydney Dementia Network Future Research Leader Award (Travel Support Scheme) in 2025. Scientific Awards : FightMND Early Career Research Fellow, Sydney Dementia Network Future Research Leader Award (2025) Dr. San Gil actively mentors researchers like Celine CHYE and collaborates with institutions globally. Her team welcomes new members to explore neurodegenerative disease biology and therapeutic discovery .

William A. Goddard, IIIView profile

Professor

• Quantum Chemistry
• Molecular Dynamics
• Statistical Physics
• +7 more

William A. Goddard, III is the Charles and Mary Ferkel Professor of Chemistry, Materials Science, and Applied Physics at the California Institute of Technology. With a career spanning over five decades, he has held positions from Noyes Research Fellow (1964–66) to his current professorship since 2001. His educational background includes a B.S. from UCLA (1960) and a Ph.D. from Caltech (1965). Quantum chemistry and first-principles simulations Multiscale modeling (QM→MD→mesoscale) Catalysis and protein structure prediction Nanotechnology and bionanotechnology Energy storage (batteries, supercapacitors) Recent publications emphasize applications in metal-organic frameworks , electrocatalysis , and space manufacturing , reflecting his interdisciplinary approach. His work on G-protein coupled receptors and Li-S batteries demonstrates methodological innovation through quantum mechanics and machine learning . Horizon Prize , Royal Society of Chemistry Over 1548 total publications (1967–2022) As Director of Caltech's Material and Process Simulation Center , he leads development of software like ReaxFF for reactive dynamics. He teaches Ch 120 ab (Nature of the Chemical Bond) and Ch 121 ab (Atomic-Level Simulations), emphasizing hands-on computational applications for experimentalists and theorists.