Find Academic Supervisors

Rianne de HeideView profile

Assistant Professor

• Machine Learning
• Statistics
• Hypothesis Testing
• +7 more

Rianne de Heide is an Assistant Professor in the Statistics group (STAT) within the Department of Applied Mathematics at the University of Twente's Faculty of Electrical Engineering, Mathematics and Computer Science. She maintains collaborative arrangements with LUXs Data Science in Leiden, CWI, and VU Mathematics in Amsterdam as a guest researcher while working partly remotely during her family's relocation. Her academic journey includes a previous position as Assistant Professor at Vrije Universiteit Amsterdam. PhD Dissertation: 'Bayesian Learning: Challenges, Limitations and Pragmatics' (2020) MSc Thesis: 'The Safe-Bayesian Lasso' (2016) De Heide's research spans multiple interconnected domains within statistics and machine learning, with particular emphasis on developing mathematically rigorous frameworks that remain accessible to diverse audiences. Her work bridges theoretical foundations with practical applications, focusing on hypothesis testing with e-values, Bayesian learning methodologies, and best-arm identification problems in multi-armed bandit settings. She demonstrates exceptional interdisciplinary range, connecting statistical theory with philosophical inquiry and even theological discussions as evidenced by her publications on biblical authorship verification and mathematical beauty. Analysis of her publication trajectory reveals a clear evolution toward developing anytime-valid statistical methods, particularly through e-values and e-processes for multiple testing scenarios. Her recent work shows increasing focus on foundational questions in statistical inference while maintaining strong connections to practical machine learning applications. The 2024 'Safe Testing' paper in the Journal of the Royal Statistical Society represents a significant contribution that generated a formal discussion meeting. VENI project 'E-values for Multiple Testing' NWO M2 grant of €742,708 with Jelle Goeman (funding 2 PhD students and a scientific programmer) 2025 Bernoulli Society New Researcher Award De Heide actively supervises research through her VENI project and the NWO M2 grant, while also contributing to broader academic service through the 'Kindness and Excellence in Academia' initiative she co-founded. This initiative addresses critical cultural issues in academic environments through opinion pieces, resources, and community building around compassionate academic practices. She has organized specialized events like the E-Day meet-up for e-value researchers at CWI in Amsterdam, demonstrating leadership in her niche research community. Her research activities are centered around the Statistics group at the University of Twente, with significant external collaborations through the E-mailing list for e-value researchers and partnerships with institutions including CWI, VU Amsterdam, and Leiden's LUXs Data Science. The interdisciplinary nature of her work creates connections across mathematics, computer science, philosophy, and even religious studies.

• Reinforcement Learning
• Computational Decision-Making
• Artificial Intelligence
• +5 more

Carlo D'Eramo is Professor and Head of the Reinforcement Learning and Computational Decision-Making professorship at the Center for Artificial Intelligence and Data Science (CAIDAS) of University of Würzburg. He additionally serves as an independent group leader of hessian.AI, focusing on developing lightweight methods to obtain adaptive autonomous agents that can handle real-world complexity. His academic journey includes: B.Sc. in Computer Engineering from Politecnico di Milano (2011) M.Sc. in Computer Engineering from Politecnico di Milano (2015) Double degree in Computer Science from University of Illinois at Chicago (2015) Ph.D. in Information Technology from Politecnico di Milano (2019) Postdoctoral research at TU Darmstadt's Intelligent Autonomous Systems group (2019-2022) D'Eramo leads the LiteRL research group investigating how agents can efficiently acquire expert skills accounting for real-world complexity. His research spans multiple reinforcement learning domains including multi-task, curriculum, adversarial, options, and multi-agent RL. His work bridges theoretical advances with practical applications, particularly in robotics and decision-making systems. His recent publications (2023-2025) demonstrate significant contributions across exploration strategies, neural network architectures, multi-agent coordination, and physics-informed machine learning. His work frequently appears in top-tier venues including TMLR, RLJ, IEEE PAMI, ICML, and ICLR, with multiple papers receiving spotlight or oral presentation designations. Professional activities include: Senior area chair for RLC Area chair for AAAI, ACML, AISTATS, NeurIPS, and ICLR Reviewer for DFG and ERC proposals Creator of MushroomRL reinforcement learning framework D'Eramo actively contributes to academic community service while mentoring researchers in his group. His work on lightweight methods aims to make reinforcement learning more practical for real-world applications across various domains.

Thomas WöhlingView profile

Researcher

• Integrated environmental systems modeling
• Surface water-groundwater interactions
• Braided river systems
• +9 more

PD Dr. habil. Thomas Wöhling serves as a Senior Research Scientist and Team Leader for Stochastic Modelling of Hydrosystems at the Chair of Hydrology, Dresden University of Technology's Faculty of Environmental Sciences. His research spans integrated environmental systems modeling with particular expertise in surface water-groundwater interactions, braided river systems, and vadose zone processes. Previously, he held research positions at Water and Earth System Sciences Competence Cluster in Tübingen (2010-2015) and Lincoln Environmental Research in New Zealand (2006-2010). Dr. Wöhling completed his Dipl.-Hydrol. (1999) and PhD in Hydrology (2005) at Dresden University of Technology, followed by habilitation in Stochastic Hydrology (2021). His educational background includes extensive research at the Institute of Hydrology and Meteorology at TU Dresden (1999-2005) where he developed foundational expertise in hydrological modeling. Wöhling's research focuses on integrated modeling of coupled environmental systems , particularly flow and contaminant transport in surface water-groundwater systems, nutrient and energy fluxes in soil-plant-atmosphere systems, and distributed hydrological modeling. His work emphasizes stochastic modeling and uncertainty analysis , with significant contributions to inverse modeling, model calibration, multiobjective optimization, and Bayesian model averaging techniques. He has pioneered methods for evaluating monitoring network worth and data utility for environmental models. His publication record demonstrates consistent contributions to hydrological science, with recent work (2023-2025) focusing on machine learning applications in hydrology, advanced statistical inversion techniques, and complex karst system modeling. Key trends include integration of physics-based and data-driven approaches, improved uncertainty quantification methods, and applications to climate change impacts on water resources. His work bridges theoretical advances with practical applications in New Zealand's braided rivers and European hydrological systems. STAHY Best Paper Award (2018) ASCE Journal of Irrigation and Drainage Engineering Best Reviewer Awards (2008, 2010, 2011, 2015, 2018) ASCE Journal of Irrigation and Drainage Engineering Best Paper Awards (2008, 2009) Dr. Wöhling leads the Stochastic Modelling of Hydrosystems team and has secured funding for numerous projects including Klimakonform, ISOSIM, VAMOS II, and the International Research Training Group 'Integrated Hydrosystem Modelling.' His work combines novel monitoring techniques with modeling and optimal sensor placement to improve prediction reliability for river-groundwater exchange fluxes. He collaborates extensively with international partners, particularly in New Zealand through the Lincoln Agritech's Braided Rivers program. His laboratory work focuses on combining traditional hydrological measurements with advanced computational techniques, including deep learning applications for soil surface hydrology and time-windowed Bayesian analysis for predictive modeling. The team maintains strong connections with field sites in Germany's Saxon region and New Zealand's Canterbury Plains, facilitating integrated theoretical and empirical research approaches.

Wendy RobinsonView profile

Professor

• Medical Genetics
• Epigenetics
• Fetal Development
• +4 more

Wendy P. Robinson is a Professor in the Department of Medical Genetics at the University of British Columbia Faculty of Medicine , and a Senior Scientist at the BC Children’s Hospital Research Institute . She holds the CIHR Sex and Gender Science Chair . Research Interests: Genetics and epigenetics of early human development, placental function in pregnancy complications (fetal growth restriction, preterm birth), DNA methylation, non-coding RNA, sex differences, and polymorphisms. Her lab employs genomic and bioinformatic tools to study placental health and its impact on newborn outcomes. Recent Publications (2025-2024) focus on X-chromosome inactivation patterns in placenta, cell-type specific DNA methylation, maternal socioeconomic effects on placental epigenetics, and modeling placental development with organoids. Key themes include sex-specific epigenetic regulation , maternal-fetal interactions , and human placental methylome . Awards: UBC Faculty of Medicine Distinguished Achievement Award (2018), with trainees receiving the James Miller Memorial Prize and Mary-Jane Carroll Trainee Award. Students & Collaborations: Supervised PhD/MSc students include Li Qing Wang, Icíar Fernández Boyano, Giulia Del Gobbo, Victor Yuan, and Magda Price. Collaborators span the Alex Beristain Lab and University of Toronto institutions. Laboratory Activities: Regular team-building events like mountain hikes, climbing outings, and kayaking trips, alongside providing open access to epigenetic tools (e.g., Bisearch, SeqDoc) for the research community.

Nicole NiebuhrView profile

Assistant Professor

• Criminal Careers
• Corrections
• Criminological Theory
• +6 more

Dr. Nicole Niebuhr is an Assistant Professor in the Department of Criminology, Criminal Justice, and Legal Studies at the University of West Florida. She joined UWF in 2019 after earning her doctoral degree from Sam Houston State University. Her academic appointments include teaching courses in Research Methods and Victimology. Education Bachelor's degree in Sociology from University of Wisconsin La-Crosse Master's and Doctoral degrees in Criminal Justice and Criminology from Sam Houston State University Research Focus Dr. Niebuhr's research spans criminal careers, corrections systems, criminological theory development, and program evaluation methodologies. Her work examines desistance patterns, the psychological impact of punishment on risk perception, employment-related stress among formerly incarcerated individuals, and comparative criminal decision-making between offenders and college populations. She has conducted empirical evaluations of specialized courts including juvenile drug courts and mental health probation systems. Her methodological expertise includes correctional officer attrition analysis, recidivism prediction modeling, and experimental designs in offender behavior studies. Geographic focus areas include Texas and Florida criminal justice systems. Publication Trends Recent publications demonstrate her focus on recidivism predictors, deterrability stability across offender populations, employment-corrections linkages, and criminal justice system processing of marginalized groups. Methodologies emphasize longitudinal analysis, comparative offender sampling, and program effectiveness metrics. Professional Activities Dr. Niebuhr maintains research partnerships with correctional agencies including the Texas Department of Criminal Justice, focusing on evidence-based policy development. No awards, grants, research labs, or supervised students were documented in the source material.

Hugo Georges Victor LavenantView profile

Assistant Professor

• Optimal Transport
• Calculus of Variations
• Convex Analysis
• +3 more

Hugo Georges Victor Lavenant serves as Assistant Professor in the Department of Decision Sciences at Bocconi University, Milan, where he has held a faculty position since 2020. Previously, he completed a postdoctoral fellowship at the University of British Columbia (2019-2020) under the Pacific Institute of Mathematical Sciences and earned his PhD in Mathematics from Université Paris-Sud (2016-2019) under Filippo Santambrogio's supervision. His academic foundation includes: PhD in Mathematics, Université Paris-Sud (2016-2019) Studies at École Normale Supérieure (2012-2016) covering mathematics, physics, history, and philosophy of science Classes préparatoires in mathematics and physics (2010-2012) Lavenant's research centers on optimal transport theory and its applications across mathematical disciplines. He investigates geometric structures in Wasserstein spaces, develops numerical methods for dynamical optimal transport, and bridges theoretical advances with Bayesian statistics. His work demonstrates particular innovation in trajectory inference for biological data and dependence measures for random measures, connecting pure mathematics with computational statistics. Recent publications reveal accelerating interdisciplinary impact, with 2024-2025 works extending optimal transport to machine learning (kernel methods, variational inference) and data science (opinion dynamics, single-cell analysis). This trajectory shows increasing methodological sophistication in handling measure-valued mappings and non-smooth geometries while maintaining computational tractability. Award recognition includes: Pacific Institute of Mathematical Sciences Postdoctoral Fellowship Lavenant actively mentors early-career researchers through formal advising relationships and collaborative projects. He currently supervises two PhD candidates (George Kanchaveli and Francesco Mascari, co-advised with Marta Catalano) and has guided Master's students including Mathis Hardion and Niccolò Bargellini. His teaching portfolio spans advanced analysis, optimization, and real analysis courses at Bocconi, reflecting his commitment to mathematical rigor in education. He operates within Bocconi's Decision Sciences ecosystem while maintaining international collaborations with researchers at UBC, Université Paris-Sud, and statistical groups worldwide. Current projects focus on entropy-based transport methods and geometric approaches to nonparametric statistics, positioning his work at the intersection of theoretical mathematics and data-driven applications.

Kevin MwendaView profile

Associate Professor

• Population Health
• Environmental Health
• Spatial Demography
• +7 more

Dr. Kevin Mwenda is an Associate Professor of Population Studies (Research) at Brown University's Population Studies and Training Center (PSTC) and serves as Director of the Spatial Structures in the Social Sciences (S4). He maintains faculty affiliate positions at the Data Science Institute (DSI), Institute at Brown for Environment and Society (IBES), and the Sociology Department, demonstrating his interdisciplinary approach bridging geography, demography, and public health through spatial analysis methodologies. Dr. Mwenda's educational background includes: PhD in Geography (Geographic Information Science & Cartography), University of California, Santa Barbara (2018) MA in Geography, University of California, Santa Barbara (2014) BA, Dartmouth College (2010) His research program investigates spatial disparities in health outcomes among vulnerable populations globally, with particular attention to environmental, climatic, and socioeconomic determinants. Dr. Mwenda develops innovative mixed methods for exploring, analyzing, and visualizing spatial data patterns to better understand human-environment dynamics at various scales. His methodological expertise in GIS and spatial statistics enables sophisticated analysis of complex health-environment relationships across diverse geographic contexts. Dr. Mwenda's publication trajectory reveals a consistent focus on applying spatial methodologies to pressing global health challenges, with significant contributions in environmental health impacts across Africa, healthcare accessibility in conflict zones like Syria, pandemic mobility patterns, and frameworks for monitoring land degradation. His work demonstrates methodological rigor while addressing real-world problems affecting vulnerable populations in diverse settings including Africa, China, and the United States. His scholarly contributions have been recognized with several prestigious honors: Dean's Award for Excellence in Teaching (2023, Brown University) OVPR Research Seed Award (2023, Brown University) Excellence in Teaching Award (2017, Department of Geography, UCSB) Appointment as Associate Editor of Populations Journal (2025) As Director of S4, Dr. Mwenda leads a thriving research initiative that advances spatial methodologies across social science disciplines at Brown. His teaching portfolio includes undergraduate and graduate courses in GIS and spatial analysis within the Sociology Department, for which he received Brown's highest teaching honor in 2023. Dr. Mwenda maintains extensive collaborative networks spanning Epidemiology, Health Services, Environmental Science, and Data Science departments, reflecting the interdisciplinary nature of his work and institutional impact.

Steven C. GrambowView profile

Associate Professor

• Biostatistics
• Clinical Research Education
• Artificial Intelligence in Academic Workflows
• +3 more

Steven C. Grambow is an Associate Professor and Associate Chair of Education in the Department of Biostatistics & Bioinformatics at Duke University School of Medicine. He serves as Director of Duke’s Clinical Research Training Program (CRTP) and Co-Director of the Duke Clinical and Translational Science Institute (CTSI) Workforce Development Pillar. With over two decades of experience in graduate education, he has trained more than 1,000 physician-scientists in statistical methods while developing innovative programs for clinical research education across various delivery formats. His work focuses on creating pathways into clinical and translational research through partnerships with institutions like North Carolina Central University and Durham Technical Community College. Grambow actively explores AI integration into biostatistical workflows and leads initiatives in faculty development, active learning models, and cross-disciplinary collaboration frameworks. As a collaborative statistical scientist, his research spans observational studies, randomized trials, and epidemiologic investigations addressing public health challenges including amyotrophic lateral sclerosis (ALS), post-traumatic stress disorder (PTSD), and cardiovascular risk reduction. His recent publications highlight innovations in biostatistical education, AI applications, and community-engaged research models. Scientific Awards: American Statistical Association teaching honors Duke University teaching honors Grambow has secured significant grants from NIH, Department of Defense, and University of Colorado-Denver for projects spanning statistical methods in cardiovascular disease research, patient-focused drug development resources, and multi-component lifestyle interventions. He actively mentors through Duke’s educational programs and leads quantitative collaboration units in academic healthcare settings.

• Middle Eastern Studies
• Political Science
• Refugee Studies
• +7 more

Rana B Khoury is an Assistant Professor in the Department of Political Science at the University of Illinois, with an affiliation to the Center for South Asian and Middle Eastern Studies. Her research spans multiple domains including Syrian civil war dynamics , refugee activism , and humanitarian response mechanisms . She employs innovative methodologies like Respondent-Driven Sampling to study hard-to-survey populations. Focus on Syrian refugees in Jordan and their political mobilization Analysis of international aid structures in conflict zones Comparative studies of colonialism and nationalism in Western Sahara and Palestine Her recent publications examine the intersection of civil society and humanitarianism during Syria's war, methodological advancements in surveying vulnerable populations, and the socio-political implications of refugee life in Jordan. All findings are accessible through her email rbkhoury@illinois.edu .

Jorge CambaView profile

Associate Professor

• Intelligent Computer-Aided Design (CAD) Systems
• Digital Manufacturing Processes
• Digital Product Model Quality Assurance
• +5 more

Jorge Camba is an Associate Professor at the School of Engineering Technology and holds a courtesy appointment in the Department of Computer Graphics Technology at Purdue University . He also serves as a Senior Research Scientist (by courtesy) in the Department of Industrial Engineering at the University of Naples Federico II , Italy. PhD in Systems and Engineering Management (Universidad Politécnica de Valencia, Spain) MSc in Digital Media (East Tennessee State University) MSc in Computer Science (Universidad de Vigo, Spain) His research explores intelligent CAD systems , digital manufacturing , and mixed reality environments , focusing on model quality assurance , design intent communication , and collaborative design tools . Recent work investigates spatial cognition in CAD education , geometric variability analysis , and annotation-driven knowledge management . Key trends in his publications include parametric modeling strategies , 3D annotation systems , and XR applications in design evaluation. Awards include the Purdue Faculty Scholar (2021) and I3B Fellow (2021). He has presented at conferences on topics like Industry 4.0 , space habitat design , and digital product quality .

Rebekah J PrattView profile

Associate Professor

• Health disparities
• Implementation science
• Qualitative research
• +7 more

Rebekah J Pratt serves as an Associate Professor in the Department of Family Medicine and Community Health at the University of Minnesota Medical School. She holds leadership positions as the Screening, Prevention, Etiology & Cancer Survivorship Leader at the Masonic Cancer Center and as an Action Group Leader for Retention and Recruitment at the Center for Women in Medicine and Science. Dr. Pratt earned her PhD from the Centre for Population Health Sciences at the University of Edinburgh. This foundation in population health sciences has shaped her research approach focusing on health equity and community-based interventions. Her research program is centered on addressing health disparities through implementation science and qualitative methodologies. Dr. Pratt specializes in working with immigrant and refugee populations, particularly Somali communities, to improve cancer screening access, vaccine uptake, and other preventive health services. She employs community-engaged research approaches to develop culturally appropriate interventions that address systemic barriers to healthcare. Her work spans multiple domains including cervical cancer screening through HPV self-sampling, tobacco cessation in pediatric settings, food pantry interventions to improve nutrition, and addressing vaccine hesitancy. Dr. Pratt's publication record shows consistent productivity with 98 research outputs documented, including a strong recent output with 14 publications in 2022 and 11 in 2024. Her research demonstrates interdisciplinary collaboration across medicine, public health, and community organizations, with a clear focus on translating research into practice to reduce health disparities. Dr. Pratt has secured significant research funding as both Principal Investigator and Co-Investigator on multiple NIH-funded projects: Principal Investigator for 'Reducing cervical cancer screening disparities in Somali immigrant women through a primary case-based HPV self-sampling intervention' (2021-2026, NIH National Cancer Institute) Co-Investigator on the Cancer Center Support Grant (2024-2029, NIH National Cancer Institute) Co-Investigator on 'Development and Pilot Testing of a mLearning Intervention to Address Sexual Health Needs of Gynecologic Cancer Survivors' (2024-2027, American Cancer Society) Co-Investigator on the 'Genetic Counseling Fellowship in Research Training (GC-FIRST)' (2022-2026, NIH NHGRI) Co-Investigator on the 'Center for Chronic Disease Reduction and Equity Promotion Across Minnesota (C2DREAM)' (2021-2026, National Institute on Minority Health) Dr. Pratt actively collaborates with community organizations serving immigrant populations and works within multiple research centers at the University of Minnesota. Her approach integrates community voices into research design and implementation, focusing on sustainable solutions to health equity challenges. She contributes to both academic medicine through her faculty role and to cancer center initiatives through her leadership in screening and prevention activities.

• Air Pollution
• Particulate Matter Source Apportionment
• Chemometrics
• +5 more

Philip K. Hopke, Ph.D., serves as an Adjunct Professor in both the Department of Public Health Sciences and Department of Environmental Medicine at the University of Rochester School of Medicine and Dentistry. With a distinguished career spanning over five decades since earning his Ph.D. from Princeton University in 1969, Dr. Hopke has established himself as a global leader in environmental chemistry and air pollution research. Ph.D. in Chemistry, Princeton University (1969) M.A. in Chemistry, Princeton University (1967) B.S. in Chemistry, Trinity College (1965) Dr. Hopke's pioneering work focuses on particulate matter source apportionment , where he developed innovative methodologies like dispersion-normalized positive matrix factorization (DN-PMF). His research integrates chemometrics , atmospheric chemistry , and environmental epidemiology to address critical air quality challenges worldwide. Recent projects span China's megacities, Iran's water crisis, and New York State's vehicle emission regulations, with particular emphasis on health impacts of source-specific pollutants. Analysis of his 15 most recent publications reveals consistent focus on advanced source apportionment techniques , health outcomes linked to air pollution , and policy evaluation using sophisticated statistical modeling. His work increasingly incorporates machine learning approaches while maintaining rigorous chemical characterization of environmental samples. Scientific Recognition Fellow of both the Air and Waste Management Association (2021) and American Association for Aerosol Research Recipient of the Lifetime Achievement Award in Chemometrics (2014) Albert Nelson Marquis Lifetime Achievement Inductee (2018) Multiple international awards including the Fissan-Pui TSI International Aerosol Research Award (2018) Dr. Hopke maintains an exceptionally active research program with collaborators across six continents, evidenced by his 2025 publications from China, Iran, Kazakhstan, and the United States. His work bridges fundamental atmospheric science with practical public health applications, particularly in evaluating regulatory impacts on air quality and health outcomes.

• Colorectal Cancer
• Infectious Diseases
• Biomarkers
• +3 more

Christian Ramakers is a Researcher in the Department of Clinical Chemistry at Erasmus University Medical Center's Faculty of Medicine. His work bridges laboratory science and clinical practice, focusing on diagnostic innovation and patient-centered biomarker applications across colorectal cancer, infectious diseases, and kidney disorders. His research spans critical medical domains: Colorectal Cancer: Developing home-based monitoring through capillary carcinoembryonic antigen measurements and refining screening methodologies using occult blood tests. Infectious Diseases: Creating rapid mRNA-based diagnostics to differentiate bacterial/viral infections and predict mortality in emergency settings. Nephrology: Investigating dietary impacts (oxalate, potassium) on kidney function in renal disease patients. Endocrinology: Establishing sex-specific reference intervals for serum phosphate in population health. Analysis of his 2024-2025 publications reveals a consistent theme of translating biomarker research into practical clinical tools. Key trends include home-based cancer monitoring systems, emergency department infection diagnostics using host-response mRNA signatures, and precision dietary management for kidney disease. These studies emphasize patient convenience, diagnostic accuracy, and individualized treatment protocols. No scientific awards were documented in the provided materials. The available information does not specify students supervised by Dr. Ramakers or research grants secured. His collaborative work involves multidisciplinary teams across surgery, oncology, nephrology, and emergency medicine, though specific laboratory structures or team compositions remain unreported in the source text.

• Materials Science
• Mechanical Engineering
• Chemical Engineering
• +7 more

Fang Liu is an Assistant Professor at Chalmers University of Technology, Department of Materials and Manufacturing. Her research focuses on uncovering the physical and chemical mechanisms in material systems such as high-temperature alloys, polymer composites, and semiconductors, using advanced microscopy and spectroscopy techniques. Specializes in structural battery composites, creep behavior, and high-temperature corrosion Collaborates with industry partners and theoretical researchers Develops reliable prediction tools for material performance Research Trends (2023–2025): Structural battery composites with carbon fibers and hybrid electrolytes Microstructural analysis via atom probe tomography and focused ion beam High-temperature oxidation and corrosion resistance Mechanical-electrochemical coupling in multifunctional materials Key Collaborations : Leif Asp (Chalmers), Johanna Xu (Chalmers), Marcus Johansen (Chalmers) Industry partners: Office of Naval Research, VINNOVA, Wallenberg AI Program

Maurits HaverkortView profile

Professor

• Strongly Correlated Electron Systems
• Quantum Many-Body Physics
• X-ray Spectroscopy
• +6 more

Maurits Haverkort is a Professor at the Institute for Theoretical Physics, Heidelberg University (Germany). His research focuses on quantum many-body systems , strongly correlated electrons , and X-ray spectroscopy of complex materials under strong fields. University of Cologne (PhD in Physics, 2005) University of Groningen (M.Sc. in Physics, 2002) Research Interests : He investigates orbital and magnetic properties in heavy fermion systems , actinide materials , and correlated oxides using resonant inelastic X-ray scattering (RIXS) , ARPES , and computational tools like Quanty . His work spans crystal field theory , spin-orbit coupling , and ultrafast electron dynamics . Scientific Awards & Activities : 2018 – Editorial Board Member, Physical Review Letters 2017 – Beam Time Allocation Panel, ESRF Grenoble 2016–2018 – Swedish Research Council Panel NT-4 2012–2016 – Scientific Selection Panel, Helmholtz-Zentrum Berlin Recent Publications highlight 5f electron counting , photon-modulated bonding , and precision neutrino mass experiments , reflecting his expertise in quantum materials and advanced spectroscopy .