Find Academic Supervisors

• Leadership
• Organizational Culture
• Organizational Innovation and Change
• +4 more

Charles A. O'Reilly is The Frank E. Buck Professor of Management in the Organizational Behavior area at Stanford Graduate School of Business, where he has been on faculty since 1993. Previously, he served as Professor at University of California, Berkeley (1980-92) and Assistant Professor at University of California, Los Angeles (1976-80). His educational background includes a PhD in Organizational Behavior from University of California Berkeley (1975), MBA from University of California, Berkeley (1971), and BS in Chemistry from University of Texas El Paso (1965). O'Reilly's research focuses on leadership, organizational culture, innovation and change, organizational demography and diversity, and executive compensation. His work has increasingly concentrated on narcissistic leadership and its organizational consequences, ambidextrous organizations that can simultaneously exploit existing capabilities while exploring new opportunities, and the relationship between organizational culture and performance. His influential papers on person-organization fit, organizational ambidexterity, and leadership have shaped contemporary organizational theory. His publications reveal a strong trend toward examining the dark side of leadership, particularly narcissism in executives, and how CEO personality shapes organizational culture. His recent work explores the connection between narcissistic leadership and organizational outcomes including unethical behavior, legal vulnerabilities, and cultural toxicity. Distinguished Scholar Award by the Academy of Management Organizational Behavior Division Lifetime Achievement Award (2010) Distinguished Teaching Award for MBA teaching at Stanford Graduate School of Business (2001) California Management Review Best Paper Award (1996, 2009, 2019, 2020) Administrative Science Quarterly Scholarly Contribution Award (1995, 1998) Hank McKinnell-Pfizer Inc. Faculty Fellow (2022-23) O'Reilly has developed and directed executive education programs including Culture as a Competitive Advantage and Leading Change and Organizational Renewal. He has consulted for numerous public and private firms globally and has taught at UC Berkeley, UCLA, Columbia, and Harvard Business School. His research has been supported by various academic and corporate funding sources that enable his extensive studies of organizational dynamics and leadership. As Co-Director of Culture as a Competitive Advantage and Leading Change and Organizational Renewal programs, O'Reilly works with executive teams to transform organizational culture and implement strategic change. His research on organizational ambidexterity has influenced how companies approach innovation within established organizations, particularly through his work with Michael Tushman on the concept of 'corporate explorers' who drive innovation from within.

Heather A. JonesView profile

Associate Professor

• Child and Parental Mental Health
• Black Children and Families
• Maternal Mental Health
• +3 more

Heather A. Jones, Ph.D., serves as Associate Professor in the Department of Psychology within Virginia Commonwealth University's College of Humanities and Sciences, holding joint appointments with the Department of African American Studies, Department of Pediatrics, and Institute for Women's Health. As a licensed clinical psychologist in Virginia, she maintains an active research program focused on reducing mental health disparities through culturally responsive interventions. Ph.D. in Psychology, University of Maryland at College Park (2006) Dr. Jones' research centers on three interconnected pillars: Black children and families' mental health, maternal mental health across the perinatal spectrum, and training culturally competent clinical psychologists. Her work specifically examines ADHD manifestations in Black youth, impacts of racial discrimination on adolescent mental health, and integration of behavioral health services within primary care settings. She employs mixed-methods approaches to address systemic barriers in mental healthcare access for underserved communities. Analysis of her 2023-2025 publications reveals consistent emphasis on health equity through studies of cultural competence in cancer survivorship, ADHD treatment representation gaps, and digital interventions for perinatal depression. Her methodological approaches span latent class analyses of service utilization, content analyses of historical research biases, and clinical trials of integrated care models, all contextualized within structural determinants of health. Dr. Jones has received significant recognition for her contributions: VCU College of Humanities and Sciences Distinguished Teaching Award (2023) VCU Department of Psychology Outstanding Mentoring Award (2023) Elizabeth Fries Young Investigator Award (2016) Clinical and Translational Research Award (2016) She actively mentors students, particularly supporting Black graduate trainees in pediatric psychology as evidenced by numerous student co-authorships. As Principal Investigator, she directs the $1.4M HRSA-funded Primary Care Psychology Training Collaborative providing pro bono services to urban Richmond and rural Virginia communities, recently expanded through an additional $1.1M grant serving Latinx immigrants and refugees. Her federally funded work consistently bridges research, clinical service, and community engagement. Dr. Jones co-directs the Families and Mental Health Research Lab and Primary Care Psychology Training Collaborative, leading interdisciplinary teams comprising psychology graduate students, pediatric residents, and community health workers. These initiatives operate within VCU's integrated primary care clinics, focusing on implementation science to scale evidence-based practices for underserved populations while training the next generation of healthcare providers.

Soroosh ShafieeView profile

Assistant Professor

• Optimization under Uncertainty
• Robust Optimization
• Optimal Transport
• +3 more

Soroosh Shafiee is an Assistant Professor in the School of Operations Research and Information Engineering at Cornell University since July 2023. Before joining Cornell, he held postdoctoral positions at the Tepper School of Business (Carnegie Mellon University) and the Automatic Control Laboratory (ETH Zurich). He earned a B.Sc. and M.Sc. in Electrical Engineering from the University of Tehran and a Ph.D. in Operations Research from École Polytechnique Fédérale de Lausanne (EPFL). His research focuses on optimization under uncertainty, robust optimization, optimal transport, and their applications in machine learning and finance. Specific interests include designing algorithms for data-driven optimization, analyzing statistical and computational complexity, and exploring nonconvex optimization structures. Swiss National Science Foundation Early PostDoc Mobility Fellowship (2020) PhD Thesis Distinction Award, EPFL (2020) His work bridges theoretical foundations with practical applications, contributing to areas such as distributionally robust optimization, Wasserstein-based methods, and scalable algorithm development. His research has been published in top venues like Journal of Machine Learning Research and Operations Research .

• Water and Wastewater Treatment
• Environmental Biotechnology
• Adsorption Processes
• +5 more

Ferhan Çeçen is a Professor at the Institute of Environmental Sciences, Boğaziçi University (Istanbul, Turkey). He has held academic positions since 1990, including Professor since 1999, and has conducted research in environmental engineering and biotechnology. His expertise includes water/wastewater treatment, environmental biotechnology, and adsorption processes. Education: Ph.D. in Environmental Engineering, Istanbul Technical University (1990) M.S. in Environmental Engineering, Istanbul Technical University (1993) B.S. in Chemical Engineering, Boğaziçi University (1984) Research Interests: Prof. Çeçen focuses on advanced water treatment technologies, including nanosilver effects on biological systems, biodegradation of pharmaceuticals, and adsorption using activated carbon. His work emphasizes practical solutions for hazardous pollutant mitigation in biological treatment systems. Key areas include: Environmental biotechnology applications Biodegradation kinetics and modeling Activated carbon integration in wastewater systems Toxicology of nanomaterials in water treatment Recent Projects (2015–2023): He leads projects funded by Boğaziçi University BAP and TÜBİTAK, including studies on micropollutant removal via granular activated carbon, nanosilver effects on biological systems, and biodegradation of pharmaceuticals. These projects address emerging contaminants and sustainable treatment methods. Grants and Advising: His grants include BAP-funded research on micropollutant adsorption and TÜBİTAK support for microbial product inhibition studies. He has advised numerous graduate students on environmental engineering topics, though specific student names are not listed in the provided texts. Labs and Teams: His research group collaborates on experimental and computational studies, focusing on lab/pilot-scale testing of water treatment innovations. Key facilities include Boğaziçi University's environmental engineering labs and partnerships with institutions like Munich Technical University.

Stratis IoannidisView profile

Professor

• Distributed systems
• Networking
• Machine learning
• +3 more

Stratis Ioannidis is a Professor in the Electrical and Computer Engineering Department at Northeastern University, with a courtesy appointment in the Khoury College of Computer Sciences. His research focuses on distributed systems, networking, machine learning, big data, and privacy. He earned his B.Sc. from the National Technical University of Athens, and M.Sc. and Ph.D. from the University of Toronto. Prior to Northeastern, he worked at Technicolor and Yahoo Labs. Education: B.Sc. in Electrical and Computer Engineering (2002, National Technical University of Athens); M.Sc. and Ph.D. in Computer Science (2004, 2009, University of Toronto). Research interests span machine learning, distributed systems, optimization, and privacy. Key projects include the NSF AI Institute for Future Edge Networks and Distributed Intelligence (AI-EDGE), and work on federated learning, continual learning, and privacy-preserving algorithms. His research has been supported by NSF, Google, and Facebook grants. Recent publications emphasize federated learning, continual learning, and edge computing. Awards include the NSF CAREER Award, Søren Buus Outstanding Research Award, and multiple best paper awards. He advises numerous PhD students and collaborates across disciplines, including healthcare and wireless networks. Lab activities include SPIRAL and WIoT labs, focusing on machine learning at the edge and network optimization. Grants include the NSF AI Institute and multiple collaborative projects with industry and academia.

Esra Ece BayatView profile

Associate Professor

• Earthquake Engineering
• Soil Mechanics
• Geotechnics
• +3 more

Assoc. Prof. Dr. Esra Ece Bayat is an Associate Professor in the Civil Engineering Department at Istanbul Technical University (ITU), specializing in Earthquake Engineering, Soil Mechanics, and Geotechnics. She holds a PhD from Northeastern University (USA) and has been affiliated with ITU since 2010, progressing from Lecturer to her current rank. Her research focuses on liquefaction mitigation, soil-structure interaction, and dynamic soil behavior under seismic loads. She has led multiple projects funded by TUBITAK and BAP, including studies on induced partial saturation (IPS) techniques and p-y model development for earthquake-resistant designs. Her education includes a BSc from Middle East Technical University (1997–2002) and a PhD from Northeastern University (2004–2009). She has served in administrative roles such as Erasmus Coordinator and Education Coordinator, emphasizing international collaboration and academic development. Her work contributes to UN Sustainable Development Goals related to resilient infrastructure and disaster risk reduction. Dr. Bayat has published extensively on topics like dynamic soil behavior, liquefaction assessment, and foundation systems. Her research combines experimental methods (e.g., laminar soil containers, shaking table tests) with numerical modeling (e.g., FLAC 3D, SASSI). Recent work addresses the 2023 Kahramanmaraş earthquake’s impact on foundation systems in Iskenderun. She has advised over 20 graduate students and holds the ASCE Thomas Middlebrooks Award (2014).

Leslie YeoView profile

Professor

• Microfluidics and nanofluidics
• Acoustics and acoustical devices; waves
• Mechanobiology
• +6 more

Dist. Professor Leslie Yeo is a distinguished faculty member at RMIT University's School of Engineering, where he leads the Micro/Nanophysics Research Laboratory (MNRL). With a PhD from Imperial College London (2002), he has held positions at Monash University and the University of Notre Dame before joining RMIT. His research focuses on the interactions between high-frequency sound waves and matter at micro and nanoscales. Leslie Yeo's educational background includes a PhD from Imperial College London (2002), where he received the Dudley Newitt prize for outstanding computational/theoretical work. Prior to his academic career, he worked as a Mathematical Modeller at Det Norske Veritas UK. He held prestigious Australian Research Fellowships (2009-2017) that supported his groundbreaking work in micro and nanophysics. Professor Yeo's research interests center around high-frequency (MHz order) sound waves interacting with various materials including fluids, two-dimensional and bulk crystals, biomolecules, cells and microorganisms. His work explores both fundamental physicochemical phenomena and practical applications in microfluidics, drug delivery, diagnostics, tissue engineering, and materials synthesis. His research has significant implications for health technologies, environmental applications, and sustainable energy solutions, aligning with UN Sustainable Development Goals 3 (Good Health and Well-Being) and 7 (Affordable and Clean Energy). Analysis of Professor Yeo's recent publications reveals a strong focus on acoustofluidics and its diverse applications. His work demonstrates expertise in using surface acoustic waves for bacterial inactivation, synthesis of metal-organic frameworks, cell membrane manipulation, and energy conversion technologies. The research spans multiple disciplines including biomedical engineering, materials science, and environmental technology, with particular emphasis on practical applications that address real-world challenges. 2023: Fellowship of the Institution of Engineering & Technology (FIET) 2021: RMIT University Science, Technology, Engineering & Medicine College Research Impact Award 2019: RMIT University Distinguished Professorship 2018: RMIT University Vice-Chancellor's Award for Research Excellence 2016: Johnson & Johnson World Without Disease Quickfire Challenge Award 2007: Young Tall Poppy Science Award Professor Yeo has supervised numerous research students across engineering and science disciplines, with current projects focusing on acoustomicrofluidic synthesis of nanomaterials, high-frequency mechanobiology applications, and diagnostic technologies. His editorial roles include Editor-in-Chief of the American Institute of Physics journal Biomicrofluidics and Associate Editor of Frontiers in Bioengineering & Biotechnology. His work has been widely featured in media outlets including ABC's Catalyst, The Economist, and Nature. The Micro/Nanophysics Research Laboratory under Professor Yeo's leadership is at the forefront of fundamental and applied research on nonlinear high-frequency electroacoustic interactions. The laboratory has discovered novel physicochemical phenomena and actively develops theories to explain the fundamental mechanisms behind these discoveries, with applications ranging from medical diagnostics to sustainable energy solutions.

Roxane DE LA SABLONNIÈREView profile

Professor

• Social Psychology
• Cultural Identity
• Intercultural Relations
• +5 more

Roxane de la Sablonnière is a Full Professor in the Department of Psychology at the University of Montreal, affiliated with the Faculty of Arts and Sciences. She directs the CSI—Laboratory on Social Change and Identity and is a member of the CÉCD—Centre for the Study of Democratic Citizenship and the CIRCA—Interdisciplinary Research Centre on the Brain and Learning. Her research focuses on social change, cultural identities, intercultural relations, and the psychological impacts of crises like the COVID-19 pandemic. She has advised over 20 graduate students and led numerous research projects funded by agencies such as the Fonds de recherche du Québec (FRQ) and the Social Sciences and Humanities Research Council (SSHRC). Education & Research Focus : Her work examines how rapid societal changes affect individuals, particularly in contexts of immigration, policy shifts (e.g., multiculturalism, secularism), and Indigenous communities. Recent studies include longitudinal analyses of pandemic-related behaviors, identity integration processes, and the role of cognitive strategies in managing conflicting identities. Grants & Collaborations : She leads projects like "S'engager pour mieux aller!" (FRQS-funded) and contributes to strategic networks such as the Centre pour l'Étude de la Citoyenneté Démocratique (CÉCD). Her research integrates psychology with sociology, leveraging mixed methods (e.g., text mining, longitudinal tracking) to address societal challenges. Labs & Teams : As CSI director, she oversees projects on social change dynamics and identity reconstruction. Her work bridges academic and applied domains, influencing policy debates on integration, public health, and community resilience.

David BasinView profile

Professor

• Information Security
• Formal Methods
• Cryptography
• +3 more

David Basin is a Full Professor at the Department of Computer Science, ETH Zurich, and heads the Information Security Group. He has held academic positions since 2003, including roles at the University of Freiburg (1997–2002) and the Max-Planck-Institut für Informatik (1992–1997). His research focuses on Information Security, including methods and tools for secure systems, formal verification, and cryptographic protocols. He is Editor-in-Chief of the ACM Transactions on Privacy and Security and Springer's Information Security and Cryptography book series. Basin founded the Zurich Information Security Center (ZISC) in 2003 and led it until 2011. Education: B.Sc. in Mathematics (Reed College, 1984), Ph.D. (Cornell University, 1989), and Habilitation (University of Saarbrücken, 1996). Research interests span formal methods for security protocol verification, privacy-preserving systems, and cryptographic implementations. He has contributed to foundational work on security protocols, including the Tamarin verification framework. His work addresses real-world systems like payment protocols (EMV), DNS security, and database isolation guarantees. Awards: ACM Fellow (2018) for contributions to Information Security and Formal Methods, IEEE Fellow. He has organized numerous conferences, including IEEE S&P, Euro S&P, and ACM CCS. Labs/Teams: Leads the Information Security Group at ETH Zurich and co-founded Anapaya Systems, a startup focused on network security solutions. His team develops tools like VeriMon (formally verified monitoring) and Tamarin for protocol analysis.

Xu JinchaoView profile

Professor

• Multigrid methods
• Machine learning
• Finite element methods
• +5 more

Xu Jinchao is a Professor of Applied Mathematics and Computational Sciences at King Abdullah University of Science and Technology (KAUST) and the Verne M. Willaman Professor of Mathematics at Penn State University. He has held distinguished roles, including Director of the Center for Computational Mathematics and Applications at Penn State since 1997 and is an Affiliated Faculty member of the College of Information Sciences and Technology at Penn State. His research focuses on numerical partial differential equations (PDEs), multigrid methods, machine learning, finite element methods, and domain decomposition methods. He is renowned for pioneering contributions such as the Bramble-Pasciak-Xu (BPX) preconditioner, Hiptmair-Xu (HX) preconditioner, Xu-Zikatanov (XZ) identity, and Morley-Wang-Xu (MWX) element. His work bridges computational mathematics and machine learning, including the development of MgNet, which unifies multigrid methods with convolutional neural networks. Xu has been recognized with numerous awards, including Fellowships from SIAM, AMS, AAAS, and the European Academy of Sciences. Notable accolades include the 2008 DOE Top 10 Breakthroughs for his HX preconditioner and the 1995 Feng Kang Prize for Scientific Computing. He has organized over 100 conferences and serves on editorial boards of top journals such as Mathematics of Computations and Numerische Mathematik . His leadership includes directing research centers and advancing computational science through collaborative efforts.

• Urban Ecology
• Landscape Ecology
• Urban Ecosystem Services
• +7 more

Prof. Dagmar Haase is a Full Professor in Landscape and Urban Ecology at Humboldt Universität zu Berlin, serving as Deputy Director of the Geographical Institute. She holds affiliations with the Helmholtz Centre for Environmental Research (UFZ) and has earned honorary professorships in Sweden and Romania. Her academic journey includes a PhD from the University of Leipzig (1999) and Habilitation from Martin-Luther-University Halle-Wittenberg (2009). Her research focuses on urban ecosystem services, social-ecological systems, and nature-based solutions to urban challenges. Key projects include EU-funded initiatives on green infrastructure (e.g., Horizon Europe’s NaturaConnect) and climate resilience. Awards include the AXA Research Fund Award (2014) and Honorary Wallenberg Professorship (2016). Haase’s work integrates remote sensing, citizen science, and participatory modeling to address urban sustainability. Over 250+ publications and an h-index of 77 reflect her prolific contributions. She advises numerous PhD candidates exploring urban dynamics, biodiversity, and governance. Current grants span climate adaptation, urban densification, and ecological networks.

• Geohazards
• Landslides
• Debris flows
• +5 more

Scott McDougall is an Associate Professor in the Department of Earth, Ocean & Atmospheric Sciences at the University of British Columbia (UBC). He specializes in geohazards, particularly landslides and related risks, with a focus on improving risk assessment and mitigation strategies. His work integrates field data, statistical analysis, numerical modeling, and laboratory experiments to understand landslide dynamics. Education: PhD in Geological Engineering, UBC (2006) BASc in Civil Engineering, University of Toronto (1998) Research Interests: Landslide mobility and runout modeling Tailings dam breaches and their impacts Risk evaluation frameworks for geohazards Shoreline erosion and landslide-generated waves Applications of machine learning in hazard prediction Key Contributions: Development of the UBC Geohazards Research Team to advance landslide risk reduction Leadership in the CanBreach project to improve tailings dam breach analysis Pioneering probabilistic runout prediction models for rock avalanches and debris flows Awards: Engineering Geology Best Paper Award 2024 CDA Published Paper Award Advising & Grants: Supervised over 15 graduate students and postdoctoral fellows Active industry collaborations with mining and engineering firms Funded by NSERC, Mitacs, and industry partnerships Labs & Teams: UBC Geohazards Research Team CanBreach Collaborative Research and Development Project

Susana Castro-KempView profile

Associate Professor

• Inclusive Education
• Special Educational Needs and Disabilities
• Education Policy
• +7 more

Dr. Susana Castro-Kemp is an Associate Professor in Psychology and Human Development at University College London's Institute of Education (IOE), where she serves as Director of the Centre for Inclusive Education (CIE) since September 2023. Previously, she was a Reader in Education at the University of Roehampton for eight years. Her work focuses on inclusive education policy and practice globally, with particular expertise in special educational needs and disabilities (SEND), early childhood intervention, and mental health in schools. The IOE has been ranked number one in the world for Education for several consecutive years, providing an ideal environment for her impactful research. Dr. Castro-Kemp holds a PhD in Psychology jointly awarded in 2012 by the University of Porto (Portugal) and the University of North Carolina at Chapel Hill (USA). Her doctoral research was fully funded by the Foundation for Science and Technology/European Commission and the Global Education and Development Studies scholarships. She is a Chartered Psychologist with the British Psychological Society, a Senior Fellow of Advance HE, and a Recognised Research Supervisor by the UK Council for Graduate Education. Dr. Castro-Kemp's research centers on policy regulating education, health, and welfare services for children, particularly those with support needs. She examines inclusive education practices from users' perspectives, policy models leading to effective inclusive pedagogy, and country-level policy impacts on outcomes for children with special educational needs. Her work moves away from diagnostic labels toward engagement and civic participation as educational outcomes. She also investigates inclusion and early intervention in low- and middle-income countries, mental health in schools, and quality of early childhood education. Her recent publications reveal several key trends in inclusive education research. There's growing emphasis on understanding educational experiences through the voices of children and families rather than diagnostic labels. Much of her work examines the implementation gap between inclusive education policy and classroom practice. She has conducted significant research on how children with special educational needs experienced the pandemic, revealing both challenges and unexpected "silver linings" for some groups. Her corpus analysis of Ofsted reports shows narrow focus in early childhood education inspections, while her work on SEND policy increasingly takes an international comparative approach. Dr. Castro-Kemp has received recognition for her impactful work, including: Best Digital Humanities Project for Community Engagement Prize (2023) from the National Institute of Humanities and Social Sciences of South Africa for her project "Optimising collaborations and reducing inequalities of Early Childhood Intervention in post-Covid-19 South Africa" Dr. Castro-Kemp has secured approximately £1.3 million in research funding from various sources including ESRC, British Academy/Leverhulme Trust, European Commission, and private sponsors. Her current major project is 'ScopeSEND' (2024-2026), funded by the Nuffield Foundation (£250,000), examining international SEND policies. She has led numerous projects including "Transdisciplinary provision for children with disabilities in the Global South" (£3,500), "Optimising collaborations in South Africa" (£47,200), and "Froebel meets Ofsted" (£19,185). As a supervisor, she mentors MA/MSc and PhD students in education policy, early childhood, and inclusive education, having been nominated for student choice awards for excellent feedback and outstanding research supervision. As Director of the UCL Centre for Inclusive Education since 2023, Dr. Castro-Kemp leads a team focused on advancing knowledge exchange and research in inclusion and special needs. The Centre works with schools, educators, parents, and early years settings to translate research into practice. Her international collaborations include work with the World Health Organization as a technical advisor on the use of the International Classification of Functioning, Disability and Health (ICF) system in educational contexts. She also serves on the SEN Policy Research Forum and has provided oral evidence to the House of Commons Education Select Committee.

Peter SchroederView profile

Professor

• Computer Graphics
• Geometric Modeling
• Computational Physics
• +3 more

Peter Schroeder is the Shaler Arthur Hanisch Professor of Computer Science and Applied and Computational Mathematics at the California Institute of Technology (Caltech). He holds a B.S. from the Technical University of Berlin (1987), M.S. from MIT (1990), M.A. and Ph.D. from Princeton University (1992–1994). His academic roles at Caltech include Assistant Professor (1995–1998), Associate Professor (1998–2001), Professor (2001–2013), and Hanisch Professor since 2013. He served as Division Deputy Chair (2012–2015) and Acting Director of the Center for Advanced Computing Research (2013–2014). Schroeder’s research focuses on numerical algorithms for computer graphics, geometric modeling, and physical simulation. His work emphasizes Discrete Differential Geometry, rebuilding classical differential geometry for computational applications. Key areas include cloth deformation, fluid dynamics, and vortex simulations. Notable contributions include 'Schrödinger’s smoke' and fluid visualization techniques using Clebsch maps. His publications span ACM Transactions on Graphics and address topics like constrained Willmore surfaces, filament-based plasma models, and shape reconstruction from metrics. He has received the ACM Fellowship and Best Paper in Geometry Processing Award. His research often bridges computational mathematics with artistic and engineering challenges, such as simulating ink chandeliers and solar flares. Schroeder’s academic leadership includes co-founding the ACM SIGGRAPH Academy and mentoring students like James R. McLaughlin and Yanke Song, both recipients of the Henry Ford II Scholar Award.

• Computational Physics
• Electronic Structure Calculations
• Atomistic Simulations
• +4 more

Professor Stefan Goedecker is a distinguished faculty member in the Department of Physics at the University of Basel, Faculty of Science. He holds the position of Professor of Computational Physics and leads an active research group focused on developing advanced computational methods for materials science and quantum physics. Dr. Goedecker received his physics education at the Technical University Munich and the College of William and Mary, followed by a Ph.D. from EPFL Lausanne. His postdoctoral training included positions at Cornell University and the Max-Planck Institute in Stuttgart. In 2003, he was appointed Professor of Computational Physics at the University of Basel, where he has established himself as a leading researcher in computational methods development. His research interests center on computational physics with emphasis on electronic structure calculations, atomistic simulations, and the development of novel algorithms for materials science applications. His work has strong interdisciplinary connections spanning physics, mathematics, material sciences, chemistry, and computer science. Current research directions include machine learning applications in catalysis, fourth-generation neural network potentials for molecular chemistry, and methods for quantifying material synthesizability. Analysis of his recent publications reveals a strong focus on advancing computational methods for electronic structure calculations, with particular emphasis on machine learning potentials, molecular dynamics optimization, and accurate modeling of material properties. His work bridges theoretical physics with practical applications in materials science and nanotechnology, with increasing integration of artificial intelligence techniques into traditional computational physics frameworks. Machine learning for Catalysis (Ongoing) Fourth-Generation Neural Network Potentials for Molecular Chemistry (Completed) Towards Quantifying the Synthesizability of Materials (Completed) Professor Goedecker's research group operates within the Department of Physics at the University of Basel, which is part of the NCCR SPIN initiative focused on silicon-based quantum computing development. The department hosts over 20 research groups with more than 180 teaching staff members, creating a vibrant research environment for computational physics and quantum technologies.