Find Academic Supervisors

Hazhir RahmandadView profile

Professor

• System Dynamics
• Organizational Learning
• Strategic Management
• +4 more

Hazhir Rahmandad is the Schussel Family Professor of Management Science and a Professor of System Dynamics at the MIT Sloan School of Management . He is also affiliated with the System Dynamics Group , Institute for Work and Employment Research (IWER) , and the Institute for Data, Systems, and Society (IDSS) at MIT. His research bridges complex organizational dynamics and public health, focusing on how feedback delays and strategic interactions shape long-term outcomes in both domains. Education: Hazhir earned a Bachelor of Science in Industrial Engineering from Sharif University of Technology and a PhD in Management with a concentration in System Dynamics from MIT . Research Interests: His work explores how organizations learn and adapt over time, particularly in the presence of delayed feedback and competitive pressures. He investigates the origins of persistent heterogeneity in organizational capabilities and performance, using simulation modeling, experiments, and empirical data. A second major stream of his research applies system dynamics to public health challenges, including obesity, depression, and infectious disease epidemics like COVID-19. He also contributes to methodological advancements in dynamic modeling, including parameter estimation and model validation techniques. Publications: His recent work spans COVID-19 modeling , organizational learning under uncertainty , network effects on diffusion , and economic mobility . Notable articles include studies on the behavioral dynamics of COVID-19 across 92 nations, the impact of employer practices on economic mobility, and how delays in feedback impair strategic learning. Awards: Hazhir is the recipient of the prestigious Jay Wright Forrester Award , recognizing his significant contributions to the field of system dynamics. Grants & Funding: His research has been supported by the National Science Foundation (NSF) , National Institutes of Health (NIH) , Department of Housing and Urban Development (HUD) , and various private sector organizations. Teaching & Executive Education: At MIT Sloan, he teaches introductory and advanced system dynamics courses and leads executive education programs such as Understanding and Solving Complex Business Problems and the Global Executive Academy .

Kitsopoulos TheofanisView profile

Professor

• Photodissociation Dynamics
• Surface Chemistry
• Ion Imaging
• +5 more

Kitsopoulos Theofanis is a Professor in the Department of Chemistry at the University of Crete. He holds a Ph.D. in Physical Chemistry from the University of California at Berkeley (1991) and has been affiliated with the university since 1993, progressing from Assistant to Professor by 2007. His research spans molecular photodissociation, surface reaction kinetics, and interdisciplinary applications in medical spectroscopy. He collaborates with institutions like the Max Planck Institute of Biophysical Chemistry. Education: B.Sc. (1986) - University of Illinois at Chicago Ph.D. (1991) - University of California at Berkeley His scientific interests include photodissociation dynamics of molecules and clusters, ion imaging , and velocity mapping . His team developed the Slice Imaging method for quantum angular momentum measurements and extended its use to molecular electronics , dye-sensitized photovoltaics , and laser-based keratoconus treatment . Since 2013, he has pioneered surface reaction kinetics methods, notably revealing the true mechanism of CO oxidation on Pt(111)/(332) in a Nature publication. The 15 most recent articles (2025-2021) show a focus on surface reaction mechanisms , quantum effects , and adsorbate interactions . Key trends include velocity-resolved kinetics, ion imaging advancements, and heterogeneous catalysis studies for industrial applications (e.g., Ostwald process, hydrogen oxidation). Collaborative work with institutions like the Max Planck Institute dominates recent publications. His laboratory (IT/ITE) at the University of Crete employs ion imaging and velocity mapping to study elementary chemical reactions on surfaces. He has authored high-impact studies in journals like Nature , J. Chem. Phys. , and Phys. Chem. Chem. Phys. , with a 2018 Nature paper on CO oxidation kinetics.

Matthew BarrView profile

Researcher

• Organic Electronics
• Scanning Helium Microscopy
• X-ray Microscopy
• +4 more

Dr. Matthew Barr is a Senior ANFF Support Officer and Researcher at the University of Newcastle , affiliated with the School of Information and Physical Sciences . His work bridges organic electronics and scanning helium microscopy , focusing on printed solar technology, surface imaging, and material characterization. He completed his PhD on helium microscopy at the University of Newcastle, earning the Royal Society’s Jak Kelly Prize (2016) and showcasing his research at the Royal Society Summer Science Exhibition (2019). Expertise : Apparatus design, nanomorphology control, synchrotron techniques Key Projects : Charge Around Australia documentary (2022), Coldplay Printed Solar Project (2024) Leadership : Instrument design for helium microscopy, equipment for large-scale solar installations Research Trends : His 40+ journal articles emphasize organic solar cells , helium-based imaging , and nanoparticle engineering . Awards include the 2024 CESE Staff Excellence Award and multiple university and Royal Society recognitions. 2025 : Development of solar simulator for Lumpy Skin Disease research 2020 : Upscaling printed solar technology under NSW RAAP funding 2019 : Synchrotron studies on eco-friendly materials Teaching : Course Coordinator for Engineering Computations and Procedural Programming (2022-2023) and Engineering Physics (2024).

• Pediatric Neurosurgery
• Epilepsy Surgery
• Intracranial Recordings
• +5 more

David Bonda serves as Assistant Professor of Neurosurgery and Pediatrics at Cedars-Sinai Medical Center, where he also holds clinical positions as Pediatric Neurosurgeon in Neurosurgery and Staff Physician at Guerin Children's. His academic appointments began in July 2024, with clinical roles starting in October 2023. Dr. Bonda maintains an active presence in both clinical practice and academic research within pediatric neurosurgery. Dr. Bonda's research focuses on pediatric epilepsy surgery, intracranial recordings, and innovative neurosurgical techniques. His work explores deep brain stimulation for pediatric epilepsy syndromes, robotic-assisted neurosurgical procedures, and outcomes following various neurosurgical interventions for brain tumors and hydrocephalus. He has made significant contributions to understanding the application of laser interstitial thermal therapy and responsive neurostimulation in pediatric patients. His publication record demonstrates a clear progression from fundamental neuroscience research (including Alzheimer's disease mechanisms in earlier career) to applied clinical neurosurgery with strong emphasis on pediatric applications. Recent publications highlight his expertise in chronic subdural hematoma management, epilepsy surgery outcomes, and technological innovations in neurosurgical practice, particularly the integration of robotics and advanced imaging. Dr. Bonda has been recognized with the NIH Neurosurgeon Research Career Development Program K12 Award (2025) and currently leads an NIH-funded grant investigating frontal lobe control of volitional movement through pediatric intracranial recordings. He actively mentors students and residents, with documented advising relationships with multiple undergraduate and medical students. Dr. Bonda also contributes to institutional education through monthly pediatric neurosurgery resident didactics and has delivered numerous invited lectures on pediatric neurosurgery topics including epilepsy surgery and intracranial recordings.

Franco TomarelliView profile

Professor

• Calculus of Variations
• Differential Equations
• Mathematical Analysis
• +2 more

Franco Tomarelli is a Full Professor at the Department of Mathematics, Polytechnic University of Milan , with a focus on Calculus of Variations, Differential Equations, and Applied Mathematics . His research explores mathematical modeling of discontinuous structures , multi-scale problems , and materials science through variational methods and geometric measure theory. Books Authored : Complex Analysis, Transforms, and Differential Equations (2023), Variational Problems in Materials Science (2006). His publications address advanced mathematical techniques for boundary value problems , distributions , and engineering applications . He contributes to academic dissemination through the Milan Journal of Mathematics and workshops like VARMET2001 . No explicit awards, students, or lab affiliations are mentioned in the provided texts.

G. Allan JohnsonView profile

Professor

• Magnetic Resonance Imaging
• Biomedical Technology
• Neuroimaging
• +5 more

G. Allan Johnson is the Charles E. Putman University Distinguished Professor of Radiology at Duke University, with concurrent appointments in Physics (Trinity College of Arts & Sciences) and Biomedical Engineering (Pratt School of Engineering). He serves as Director of the Duke Center for In Vivo Microscopy , an NIH/NIBIB national Biomedical Technology Resource Center focused on developing preclinical imaging technologies and applying them to critical biomedical questions. Ph.D. in Radiology from Duke University (1974) Current leadership in preclinical MRI and connectomics His research spans high-resolution magnetic resonance imaging , diffusion MRI , and structural connectomics , with applications to neurodegenerative diseases , brain development , and biomedical engineering . Recent work includes creating multicontrast MR atlases for rodent brains and pioneering ex vivo MRI-histology fusion techniques . Selected publications reveal expertise in diffusion tensor imaging , tractography , and multimodal imaging workflows for both preclinical and clinical applications . Grants include leadership in projects funded by the CHDI Foundation (Huntington's disease), University of Pittsburgh (connectome atlases), and University of Tennessee Health Science Center (Alzheimer's imaging genetics). Scientific recognition includes NIH/NIBIB Resource Center Leadership Charles E. Putman University Distinguished Professorship His team at the Duke Center for In Vivo Microscopy develops multiparametric imaging platforms , 4D cardiac micro-CT atlases , and quantitative susceptibility mapping methods for applications ranging from neurotoxicology to plant root imaging .

Amanda W. LundView profile

Associate Professor

• Lymphatic Vessels
• Cutaneous Immunity
• Melanoma
• +6 more

Amanda W. Lund is an Associate Professor at the NYU Grossman School of Medicine , holding dual appointments in the Ronald O. Perelman Department of Dermatology and Department of Pathology. She also serves as Director of the PhD Curriculum at the Vilcek Institute. Education : PhD from Rensselaer Polytechnic Institute Postdoctoral Training : Laboratory of Lymphatic and Cancer Bioengineering at Ecole Polytechnique Federale de Lausanne Dr. Lund's research focuses on the critical role of lymphatic vasculature in cutaneous and tumor immunity. Her work explores how lymphatic vessels regulate adaptive immune responses, influence tumor immune escape, and impact metastasis dynamics. Key methodologies include 3D imaging , single-cell transcriptomics , and cell-specific proteomics to study these interactions in vivo. Her recent publications highlight lymphatic vessel contributions to T-cell trafficking in melanoma, immune surveillance mechanisms, and strategies to enhance cancer immunotherapy by targeting lymphatic-immune interfaces. Research trends show a strong emphasis on translational approaches bridging lymphatic biology with clinical oncology challenges. Contact: Amanda.Lund@nyulangone.org | Lab: Lund Lab

• Spectroscopy
• Nanomaterials
• Quantum Materials
• +6 more

Dr. Freddy Rabouw is an Associate Professor at Utrecht University's Faculty of Science, affiliated with the Debye Institute for Nanomaterials Science. His research focuses on energy, charge, and mass transport in nanostructured materials, with applications in sustainability, catalysis, and photonics. Expertise: Spectroscopy, Nanomaterials, Quantum Materials Soft Condensed Matter research sub-unit He employs time-resolved optical microscopy/spectroscopy and mathematical modeling to study individual nanocrystals and catalyst systems. Recent work includes: Energy-transfer pathways in rare-earth-doped materials Single-nanocrystal property variations Molecular diffusion in heterogeneous catalysts His 15 most recent publications span quantum dots, luminescence thermometry, and catalysis, emphasizing energy transfer mechanisms and operando analysis of dynamic systems. Media coverage includes articles in Trouw and Het Parool about quantum cutting and nanocrystal-based light generation.

Tianxing HeView profile

Assistant Professor

• AI Safety
• AI-driven Simulation
• Large Language Models
• +5 more

Tianxing He is an Assistant Professor at Tsinghua University's Institute for Interdisciplinary Information Sciences (IIIS), also known as the Yao Class, which he joined in September 2024. He also works part-time at Shanghai Qi Zhi Institute where he recruits for research-oriented positions and video game development roles. His academic journey includes a postdoc at the University of Washington under Yulia Tsvetkov, a PhD at MIT supervised by James Glass, and bachelor's and master's degrees at Shanghai Jiao Tong University in the ACM honored class under Prof. Kai Yu. Dr. He's research spans AI safety and AI-driven simulation with particular focus on large language models. His work examines LLM capabilities in cryptography (AICrypto benchmark), security vulnerabilities (jailbreaking techniques), multi-agent system integrity, and socially impactful applications like vaccine hesitancy simulation (VACSIM framework). He has developed visualization tools like MiniAgents-Pro using Unity for generative agent simulation and created watermarking techniques such as SemStamp and k-SemStamp for detecting machine-generated text. His publication record shows consistent contributions to top-tier conferences including ACL, EMNLP, NeurIPS, and ICLR, with recent work focusing on evaluating LLM capabilities across diverse domains. The research demonstrates sophisticated understanding of both the technical aspects of language models and their broader societal implications, particularly in security and ethical considerations. Scientific Awards: The Best Paper Award at the Efficient Natural Language and Speech Processing Workshop (NeurIPS ENLSP 2022) for "PCFG-based Natural Language Interface Improves Generalization for Controlled Text Generation" Dr. He actively mentors students and recruits research interns, PhD candidates, and post-bachelor researchers. He plans to teach an undergraduate NLP course in Fall 2025 and organizes the IIIS AI Safety Lunch, a monthly gathering in Beijing for those working on AI safety. His recruitment efforts target students interested in LLM social simulation, AI+game development, and AI safety research, emphasizing the need for strong self-motivation and research passion. He leads research initiatives including the IIIS AI Safety Lunch series and has developed multiple visualization and simulation frameworks. His work sits at the intersection of AI safety, language modeling, and practical applications, with team collaborations spanning multiple institutions including MIT, University of Washington, and Shanghai Jiao Tong University.

Nicholas A. ButowskiView profile

Professor

• Neuro-Oncology
• Brain Tumors
• Glioblastoma
• +4 more

Nicholas A. Butowski, MD, is a Professor in the Department of Neurological Surgery at the University of California, San Francisco (UCSF) and serves as Director of Clinical Services in Neuro-Oncology at the Brain Tumor Center. He specializes in brain tumors, neuroimaging, cognitive and rehabilitative neurology, and complementary therapies for neurological disorders. University of Illinois College of Medicine (MD, 1999) Northwestern University (Internship, Internal Medicine, 2000) UCSF (Residency, Neurology, 2003) UCSF (Fellowship, Neuro-Oncology, 2004) His research focuses on advancing treatments for primary brain tumors, particularly glioblastomas, and improving patient quality of life through molecular diagnostics, immunotherapy, and clinical trial design. He investigates the roles of IL-6 , H3K27M mutations , and MGMT methylation in tumor biology and therapy resistance. His work integrates genomics , pharmacology , and clinical outcomes to refine treatment strategies. Recent publications highlight trends in glioblastoma immunotherapy , molecular profiling , and novel drug delivery systems like convection-enhanced delivery. He collaborates on phase I-III clinical trials evaluating combinatorial therapies, including anti-CTLA-4 , nivolumab , and ONC201 . Scientific Awards Diversity, Equity, and Inclusion Champion Training (2019) Dr. Butowski leads NIH-funded studies (grants U19CA264338 , R21CA186140 ) on immunotherapy for glioblastoma and ex vivo drug response assays. His patient-centered approach emphasizes compassionate care , proactive communication , and tailored treatment plans , as evidenced by over 200 patient reviews praising his expertise and bedside manner.

• Artificial Neural Networks
• Machine Learning
• Data Mining
• +5 more

Marija Blagojević is a Full Professor at the Department of Information Technologies within the Faculty of Technical Sciences in Čačak, University of Kragujevac, Serbia. With over fifteen years of experience in teaching and research, she has established herself as a leading academic in Information Technologies and Systems. Her work spans multiple domains including artificial intelligence, machine learning, and educational technologies, contributing significantly to both theoretical advancements and practical applications in these fields. Dr. Blagojević began her academic career at the Technical Faculty in Čačak in October 2007, initially conducting exercises for courses in Informatics Methodology and IT Applications-Practicum. She was appointed as an Assistant in June 2008 and has since advanced to her current position as Full Professor. Throughout her career, she has continuously expanded her expertise through various specialized courses including Oracle Academy courses in database design and programming, machine learning from Stanford University, and certifications in Huawei AI technologies. Her research interests primarily focus on the application of artificial intelligence techniques to solve complex problems across diverse domains. She has made significant contributions to neural network applications, developing models for predicting apricot yields, air pollution levels, and student success in programming courses. Her work in e-learning technologies demonstrates innovative approaches for adaptive course delivery using data mining techniques. She has also pioneered research at the intersection of AI and psychology, exploring concepts like 'Artificial Psychology' and 'PsAIchology'. Analysis of Dr. Blagojević's recent publications reveals a clear trajectory toward interdisciplinary applications of artificial intelligence. Her work increasingly bridges computer science with psychology, healthcare, and environmental science. A notable trend is her focus on explainable AI, ensuring complex machine learning models remain interpretable for end-users. Her research also demonstrates strong commitment to applying technology for social good, particularly in education and rural development contexts, as evidenced by projects like WINnovators Space. Scientific Awards and Recognitions Award from 'dr Milivoje Urošević' foundation for best graduating student in 2006/2007 Four awards from Technical Faculty for excellent academic results each school year Scholarship from Fund for Young Talents Scholarship from University of Kragujevac (as one of 11 best students) Scholarship from Čačak municipality Scholarship from 'Denise Hale' Foundation Award for the best second-place innovative idea from the Union of Engineers and Technicians of Serbia (February 2020) Recognition for the best female scientist with most research results at University of Kragujevac (February 2022) Dr. Blagojević has been actively involved in research supervision and grant-funded projects throughout her career. She has served as a reviewer for three scientific journals and participated in significant research initiatives including 'Development of new information and communication technologies using advanced mathematical methods' (Project III 44006) and 'Application of biomedical engineering in preclinical and clinical practice' (Project 41007). Her international collaboration includes participation in TEMPUS project 544482-TEMPUS-1-2013-1-IT-TEMPUS-JPHES and Erasmus mobility at Alexandru Ioan Cuza University of Iaşi. As a member of the Computer Science Laboratory at the Faculty of Technical Sciences, Dr. Blagojević contributes to a collaborative research environment focused on advancing information technologies. Her interdisciplinary approach connects computer science with psychology, healthcare, and environmental science, demonstrating how technology can address complex real-world challenges while enhancing educational outcomes and community development.

• Astrostatistics
• Data Science
• Galactic Structure and Dynamics
• +5 more

Josh Speagle is an Assistant Professor jointly appointed in the Department of Astronomy & Astrophysics and the Department of Statistical Sciences at the University of Toronto. He maintains strong affiliations with the Dunlap Institute for Astronomy & Astrophysics, which forms part of Canada's leading concentration of astronomers at the University of Toronto. Dr. Speagle received his Ph.D. from Harvard University in 2020, establishing a foundation for his interdisciplinary career at the intersection of astronomy and statistics. His educational background bridges these two critical fields for modern data-intensive astronomy. His research focuses on astrostatistics and data science with multi-wavelength, large-area surveys, with specific interests in Galactic structure and dynamics; stars and stellar populations; dust and the interstellar medium; galaxy formation and evolution; scalable inference; and Monte Carlo sampling. Dr. Speagle combines astronomy, statistics, and computer science to analyze billions of stars and galaxies from wide-field imaging and spectroscopic surveys to better understand how galaxies like the Milky Way form, behave, and evolve over time. His recent publications demonstrate a strong emphasis on developing and applying advanced statistical methods to astronomical problems, particularly simulation-based inference, Bayesian methodology, 3D dust mapping, and stellar population analysis. His work frequently leverages major astronomical datasets from Gaia, DESI Legacy Imaging Surveys, and the James Webb Space Telescope. Banting-Dunlap Postdoctoral Fellowship Dr. Speagle collaborates extensively with researchers across the University of Toronto's three campuses and internationally. His work has significant implications for understanding galactic evolution and developing statistical frameworks for astronomical data analysis. He contributes to the vibrant research environment at the Dunlap Institute, which includes over 50 faculty, postdocs, students, and staff dedicated to innovative technology, groundbreaking research, and world-class training in astronomy. As a member of the Dunlap Institute community, Dr. Speagle participates in research spanning optical, infrared and radio instrumentation; Dark Energy studies; large-scale structure; the Cosmic Microwave Background; the interstellar medium; galaxy evolution; cosmic magnetism; and time-domain science.

Chidambaran G. IyerView profile

Associate Professor

• Innovation and Technology
• Industry and Trade
• Economics of Technology and Innovation
• +7 more

Chidambaran G. Iyer is an Associate Professor at the Centre for Development Studies (CDS), specializing in Innovation and Technology as well as Industry and Trade . With 18 years of post-PhD experience and 14 years in academia, his research bridges technological development with economic policy frameworks. Doctor of Philosophy (2007), Indira Gandhi Institute of Development Research, Mumbai B.Tech in Chemical Engineering (1994-1998), Dr. Babasaheb Ambedkar Technological University His teaching portfolio includes courses on Applied Microeconomics , Economics of Technology and Innovation , and Econometric Methods . Key research themes focus on: Technology diffusion in emerging economies Indian pharmaceutical sector innovation Biomedical product commercialization Startup failure dynamics Metro-rail economic impacts Recent publications analyze India's mobile manufacturing policies , digital payment systems , and technology transfer mechanisms . Collaborative work with Sunil Mani explores innovation ecosystems across industries. Current projects examine: Process innovation in pharmaceuticals Genetic technology impacts on silk production Laboratory-to-firm technology transfer Urban transportation economics

• Ancient Israel Studies
• Levantine Archaeology
• Religious Studies
• +4 more

Fabio Porzia is an Associate Member at Patrimoine, Littérature, Histoire (PLH), a research unit affiliated with the University of Toulouse - Jean Jaurès. His academic work focuses on ancient history, archaeology, and religious studies, with particular emphasis on the ancient Levant and Mediterranean worlds. Dr. Porzia holds a Master's degree in Biblical Sciences from the Pontifical Biblical Institute in Rome and a PhD in Ancient Sciences from the University of Toulouse - Jean Jaurès. His doctoral thesis, "Governing with the Book. A Certain Idea of Ancient Israel," supervised by Corinne Bonnet and Stefania Mazzoni, critically examined the concepts of "identity" and "ethnicity" in the study of ancient Israel. The thesis called for a complete revision of the identity approach to ancient Israel, supported by methodologies adequate to in fieri processes and modern anthropological sciences. Porzia's research interests span ancient Israel studies, Levantine archaeology, epigraphy, religious studies (particularly ancient polytheism), identity and ethnicity in ancient contexts, Phoenician studies, and biblical studies. His work challenges traditional approaches to understanding ancient identities, advocating for methodologies more attuned to the fluid and dynamic nature of cultural formation in antiquity. He has made significant contributions to the study of divine names and epithets in the ancient Mediterranean, exploring how religious concepts traveled and transformed across cultural boundaries. His current research focuses on the wide spectrum of interactions existing between different communities of the southern Levant region. His recent publications reveal a strong focus on digital approaches to ancient religious studies, particularly through the Mapping Ancient Polytheisms (MAP) project. This ERC Advanced Grant initiative represents a major interdisciplinary effort to create comprehensive digital resources for studying religious phenomena across the ancient Mediterranean world. His work bridges traditional philological and archaeological methods with innovative digital humanities approaches, creating new pathways for understanding religious continuity and change in antiquity. Fabio Porzia serves as the responsible for the MAP project (Mapping Ancient Polytheisms), an ERC Advanced Grant project focused on epigraphic and literary sources in the Levant from the first millennium BC. This ambitious research program brings together scholars from multiple disciplines to create a comprehensive digital mapping of ancient religious phenomena, examining how divine names and epithets functioned as interfaces between religious systems and human agency across the Mediterranean world.

Robert DicksonView profile

Professor

• Physical Chemistry
• Spectroscopy
• Fluorescence Imaging in Biology
• +5 more

Robert Dickson is the Vasser Woolley Professor of Chemistry at the Georgia Institute of Technology. His research group develops advanced spectroscopic, statistical, and imaging technologies for studying biological dynamics in medicine and nanoscale systems. The lab specializes in novel nanomaterials , particularly noble metal quantum dots for ultrasensitive imaging, and optically modulatable fluorescent proteins for background-free biological visualization. Their work has been recognized through multiple awards including the Camille Dreyfus Teacher-Scholar Award and NSF CAREER Award . Education: B.A. from Haverford College (1991), Ph.D. from University of Chicago (1996) Affiliation: Georgia Tech College of Sciences, Department of Chemistry and Biochemistry Research Interests span three major areas: Nanomaterials for Imaging : Developing ultrabright biodegradable Ag/Au nanoclusters with ligand-tunable emission from blue to near-infrared, utilizing dark states for optical modulation and background suppression Optical Modulation Imaging : Engineering fluorescent proteins with controllable dark states for enhanced sensitivity in live cell imaging, enabling discrimination of bound vs. diffusing species and quantitative protein interaction studies Bioinformatics for Diagnostics : Creating adaptive multidimensional statistical metrics to reduce antibiotic susceptibility testing time from 48 hours to 4 hours, with ongoing work to shorten blood culture steps to 10-hour total treatment identification Scientific Awards include Vasser Woolley Chaired Professor Camille Dreyfus Teacher-Scholar Award Alfred P. Sloan Foundation Fellow National Science Foundation CAREER Award Senior Editor, Journal of Physical Chemistry