Find Academic Supervisors

Ulrich MorgensternView profile

Professor

• Ethnomusicology
• Traditional Music
• Folk Music Revival
• +4 more

Ulrich Morgenstern serves at the Institute of Ethnomusicology within mdw - University of Music and Performing Arts Vienna. His academic leadership role appears connected to doctoral programs and structured research initiatives, as evidenced by his association with the Graduate Center and the international Playing Multipart Music symposium series. Research Focus: Traditional music theory, folk instrument studies, and European multipart music traditions Projects: Wittgenstein-funded Music and Minorities Research Center (MMRC), Research Centre for European Multipart Music Publications: Extensive contributions to historical organology, folk revival discourses, and cultural politics of music Key Contributions include redefining bagpipe typologies, examining Soviet-era folklore politics, and analyzing the paradoxes of folk music preservation. His work bridges historical research with contemporary cultural debates. International Engagement manifests through symposia like CiMPo (Comparative Musicology and Performer-Oriented Research) and collaborations with institutions across Europe. The Eigenklang radio program and annual reports 2000-2025 document his long-term institutional impact.

• Macroeconomics
• Fiscal Policy
• Monetary Policy
• +5 more

Vivaldo Manuel Pereira Mendes is an Associate Professor in the Department of Economics at the University Institute of Lisbon (ISCTE-IUL), where he has been teaching since 1998. He is also an Affiliate Member of BRU-Iscte - Business Research Unit within the Institute of Social Sciences and Business Studies. His educational background includes a PhD in Economics from the University of Sussex (1998), a Master's degree in Economics from the University of Sussex (1991), and a Bachelor's degree in Economics from the Higher Institute of Economics and Management - UTL (1987). Mendes has held significant university leadership positions including Vice-Rector (2005-2009), President of the General Assembly (2002-2005), and Director of the Department of Economics (2010-2014). He has taught diverse courses spanning macroeconomics, microeconomics, game theory, monetary economics, and computational economics. His research portfolio demonstrates a clear evolution from theoretical macroeconomics and monetary policy toward computational economics and machine learning applications. Recent publications (2019-2024) show a strong focus on applying deep learning techniques to financial forecasting, particularly examining how data frequency impacts prediction accuracy across global markets. Mendes has published in high-impact journals including Physica A (Q1), European Physical Journal B (Q1), and Economics Bulletin (Q2), with his 2005 paper on controlling chaotic dynamics in economic models receiving 23 Google Scholar citations. He has also contributed to book chapters on spatial econometrics and optimal monetary policy. A committed advocate of open-source software, Mendes actively contributes to the Julia programming language community and maintains a personal website showcasing his academic work and computational projects.

• Neurological Surgery
• Traumatic Brain Injury
• Spinal Cord Injury
• +5 more

Phiroz Tarapore, MD , is a Professor of Neurological Surgery at the University of California, San Francisco (UCSF) School of Medicine, affiliated with the UCSF Weill Institute for Neurosciences. His clinical and research focus spans neurosurgical interventions for traumatic brain and spinal cord injuries, advanced cortical mapping techniques, and outcomes analysis in neurotrauma. Education: MD from UCSF (2007) Research Interests include: Transcranial Magnetic Stimulation (nTMS) for preoperative motor and language mapping Neurophysiological implications of traumatic brain injury (TBI) and spinal cord injury (SCI) Functional connectivity analysis via magnetoencephalography (MEG) and its surgical applications Epidemiological and socioeconomic disparities in neurosurgical care Recent Publications highlight his expertise in: Optimizing nTMS for glioma surgery and spinal injury diagnostics Prognostic modeling in TBI outcomes Impact of Medicaid insurance on hospital stays post-TBI Neuroplasticity and cognitive recovery in repetitive TBI Scientific Awards: No awards explicitly mentioned in the text. Collaborations: Extensive work with the TRACK-TBI (Transforming Research and Clinical Knowledge in Traumatic Brain Injury) cohort and multidisciplinary teams in neurosurgery, radiology, and neurology.

Tomás Del Barrio CastroView profile

Professor

• Time Series Analysis
• Seasonality
• Applied Econometrics
• +2 more

Dr. Tomás Del Barrio Castro is a Full Professor in the Department of Applied Economics at the Universitat de les Illes Balears (UIB) , where he has been affiliated since 2007. He holds a PhD in Economics (University of Barcelona, 1998) and a Degree in Economics (Autonomous University of Madrid, 1992). PhD in Economics, University of Barcelona (1998) Degree in Economic and Business Sciences, Autonomous University of Madrid (1992) His research focuses on Time Series Analysis , Seasonality , and Applied Econometrics , with methodological contributions to seasonal unit root testing and periodic integration. He has published in top journals including Econometric Theory , The Econometric Journal , and Journal of Time Series Analysis . A significant portion of his work examines temporal aggregation effects, persistent cycles, and mixed-frequency data challenges. Scientific Recognition : Econometric Theory Multa Scripsit Award (2014) As Principal Investigator since 2007, he leads competitive research projects in econometrics. His teaching spans undergraduate and graduate courses in Statistics and Econometrics, including Macroeconometrics and Time Series Analysis at UIB and University of Barcelona. Recent appointments include: 2025-26: Macroeconometrics (Double Degree in Economics & Tourism) 2025-26: Time Series Analysis (Master's in Big Data Analysis)

Aurélien GarivierView profile

Professor

• Machine Learning
• Statistics
• Sequential Decision Making
• +5 more

Aurélien Garivier is a Professor at Ecole Normale Supérieure de Lyon , affiliated with the UMPA and LIP laboratories. He serves as Deputy Director of UMPA and leads the Master 2 Fundamental Computer Science program at ENS Lyon. His research and academic activities span multiple domains within Machine Learning , Statistics , and Sequential Decision Problems . Local chair of COLT 2025 in Lyon Co-organizer of workshops on Graph Representation Learning and Reinforcement Learning Former director of the Department of Mathematics at the Faculty of Science and Engineering (2016-2018) He has contributed to comparative studies of programming languages for statistical tasks, such as the Baum-Welch algorithm speed analysis in R/Python/Matlab, and co-authored the Perfect Simulation of Processes with Long Memory (2015), which introduced CIAFTP algorithms for stationary processes with transition kernels. His leadership extends to organizing educational initiatives like the UT3-INSA-UT1 Big Data Challenges and Enter the World of AI exhibition. He is also co-host of the SciDoLySE group (Data Science in Lyon and Saint-Etienne).

• Distributed Algorithms
• Metric Graph Theory
• Theoretical Computer Science
• +3 more

Jérémie Chalopin is a Directeur de Recherche (DR CNRS) at LIS (Laboratoire d'Informatique et Systèmes) in Marseille, where he is a member of the DALGO research team. His position at CNRS is affiliated with Aix-Marseille University, one of France's largest multidisciplinary universities. As a senior researcher with habilitation to supervise research (awarded in 2020), he plays a significant role in the French theoretical computer science community. Chalopin's research primarily focuses on distributed algorithms and metric graph theory , with substantial contributions to understanding the theoretical foundations of distributed computing systems and the geometric properties of graphs. His work bridges theoretical computer science with practical applications in mobile agent systems, programmable matter, and network algorithms. He has developed fundamental results in areas including leader election, graph exploration, metric embeddings, and sample compression schemes for graph structures. Analysis of his recent publications reveals a strong trend toward interdisciplinary work combining distributed computing with geometric graph theory. His research on balls in graphs has applications in machine learning, while his work on programmable matter addresses cutting-edge challenges in distributed robotics. The consistent high-quality output in top theoretical venues demonstrates sustained research productivity across multiple subfields. As a habilitated researcher at CNRS, Chalopin supervises PhD students and participates in research projects, though specific details about current students or grants aren't provided in the source material. His long-standing collaboration with Victor Chepoi (appearing in numerous publications) represents a significant research partnership in metric graph theory. Chalopin is based at LIS in the TPR2 building (office 05.28, 5th floor) where he works as part of the DALGO team, which focuses on algorithms and theoretical computer science. His research environment provides strong connections to both the French and international theoretical computer science communities through collaborations with researchers across Europe and beyond.

Lassi RoininenView profile

Professor

• Statistics and Probability
• Geophysics
• Applied Mathematics
• +5 more

Lassi Roininen is a tenured Professor of Applied Mathematics at LUT University's School of Engineering Sciences, holding this position since September 2022 after serving as Assistant Professor there from 2018 to 2022. He maintains significant adjunct appointments as Associate Professor at University of Oulu, Assistant Professor at Bahir Dar University (Ethiopia), and faculty member at AIMS Rwanda, demonstrating strong international academic engagement. Education: Master of Science (Engineering), Tampere University of Technology Doctorate in Applied Mathematics, University of Oulu (2015) - conducted at Sodankylä Geophysical Observatory His research integrates Statistics, Geophysics, and Applied Mathematics with core expertise in Bayesian inference, uncertainty quantification, and inversion problems. He develops computational frameworks for geophysical imaging, climate modeling, and industrial applications, emphasizing robust statistical methodologies for real-world data challenges. Recent work shows increasing focus on African climate adaptation and medical/industrial tomography. Analysis of his 15 most recent publications reveals dominant trends in Bayesian approaches to climate science (particularly East African adaptation studies), medical/industrial imaging (tomography and fault detection), and geophysical modeling. His work consistently bridges mathematical innovation with practical applications across environmental science, healthcare, and manufacturing sectors. Research support includes Academy of Finland postdoctoral funding. Through AIMS Rwanda, he actively mentors African mathematicians and contributes to capacity building in computational sciences across the continent. His collaborative projects demonstrate commitment to solving region-specific challenges through advanced statistical methods. His work is closely tied to geophysical research networks including Sodankylä Geophysical Observatory, with recent expansions into East African climate resilience initiatives. Current projects integrate multi-instrument atmospheric data with Bayesian frameworks to address pressing environmental challenges in developing regions.

Manuel Luis Gonzalez De Molina NavarroView profile

Professor

• Environmental History
• Agroecology
• Socio-ecological Metabolism
• +4 more

Manuel Luis Gonzalez De Molina Navarro is a Full Professor at Pablo de Olavide University (UPO) in Seville, Spain, specializing in Contemporary History within the Department of Geography, History and Philosophy. He serves as Coordinator of the Agroecosystems History Lab (AGROECOLOGYLAB) and directs the International Master's Program on Agroecology jointly offered by UPO and the International University of Andalusia since 1996. His research spans Environmental History , Agroecology , and Socio-ecological Metabolism , with particular focus on the historical analysis of Spanish agricultural systems. His doctoral work at Universidad de Granada examined La desamortización del trienio liberal en Andalucia (1984) under Dr. José Cepeda Adán. Key methodological contributions include the development of Social Agrarian Metabolism for analyzing agroecosystems and innovative sustainability assessment tools based on land cost calculations. His publication trends reveal deep engagement with long-term socio-ecological transitions in Mediterranean agriculture, examining energy flows, water dynamics, and sustainability metrics across historical periods. Recent work emphasizes agroecological transitions , food system redesign , and policy frameworks for sustainable agriculture, with notable publications in journals like Ecological Economics and Agroecology and Sustainable Food Systems . He holds leadership positions as President of the Spanish Society for Agrarian History (SEHA) and former Vice-president of the Spanish Society for Organic Agriculture (SEAE, 2006-2014). His policy experience includes serving as Andalusian Minister of Organic Agriculture (2004-2007). He contributes to editorial boards of Historia Agraria , Anthropoce , Sustainability , and Agroecology and Sustainable Food Systems . The Agroecosystems History Lab under his coordination conducts interdisciplinary research integrating historical, ecological, and socio-economic perspectives. His international collaborations include research stays at UC-Berkeley, Terza Universitá di Roma, and UAM-Campus Morelia, reflecting a globally engaged scholarly approach to agrarian sustainability challenges.

Jean-Baptiste EichenlaubView profile

Associate Professor

• Cognitive Neuroscience
• Sleep Research
• Neurophysiology
• +3 more

Jean-Baptiste Eichenlaub is an Associate Professor at Université Savoie Mont Blanc (USMB), affiliated with the Laboratoire de Psychologie et NeuroCognition (LPNC). Previously, he held postdoctoral positions at Massachusetts General Hospital/Harvard Medical School and Swansea University. His work spans sleep research , cognitive neuroscience , and neural correlates of dreaming , with a focus on memory consolidation , dream recall frequency , and REM sleep mechanisms . Ph.D. in Cognitive Neuroscience (Lyon Neuroscience Research Center, 2011) Master of Physiology & Neuroscience (Lyon University, 2008) Bachelor of Biology (Lyon University, 2006) His research integrates neuroimaging , electrophysiology , and computational tools , exemplified by contributions like the DREAM EEG database and Spinky toolbox for sleep analysis. Recent publications examine sleep habits in preteens , dream-lag effects , and gamma oscillations in NREM sleep . Notable roles include: Junior member, Institut Universitaire de France (2024 - present) Co-responsible - Memory Team (2021 - present) Coordinator - 1st Year Bachelor's in Psychology (2021 - 2024)

• Working Memory
• Cognitive Psychology
• Experimental Psychology
• +4 more

Sophie Portrat is a Lecturer at Grenoble Alpes University , affiliated with the Social Careers Department at IUT2. Since 2010, she has contributed to the Consciousness, Memory, and MetaCognition (CoMMet) team and CNRS UMR 5105. Her work bridges cognitive psychology with computational modeling , focusing on working memory and its intersection with developmental psychology . Education includes a Doctorate in Psychology (2008) from the University of Burgundy, followed by a Post-Doctoral Fellowship at the University of Geneva (2008–2010) under the Fyssen Foundation. Her research themes center on: Working memory maintenance mechanisms Temporal and semantic compression Attentional refreshing and decay models Impact of aging and physical activity on cognition She employs both empirical and computational methods to explore these topics. Publication trends reveal a focus on Working memory in aging populations Biathlon and sleep studies in children Computational models integrating decay and interference Chunking and semantic compression Her work spans journals in Neuroscience , Cognitive Psychology , and Clinical Applications . Scientific awards include a Post-Doctoral Fellowship from the Fyssen Foundation (2008–2010). Advising has involved mentoring students like Dessus P. , Lau G. , and Phénix T. across studies in Working memory modeling Biathlon-cognition links Age-related cognitive changes She collaborates with labs such as LPNC CNRS and PsyDéco .

• Climate Change Impact Modeling
• Wind Energy Meteorology
• Mesoscale Atmospheric Processes
• +3 more

Nicole Van Lipzig is a full professor at the Department of Earth and Environmental Sciences, Faculty of Science, KU Leuven. Her research focuses on climate change impacts, wind energy meteorology, and mesoscale atmospheric processes. She leads multiple long-term projects spanning 2022-2028, including wind farm co-design in the North Sea and climate adaptation strategies in Belgium. Faculty of Science Advisory Committee Chair KU Leuven Institute for Energy and Society (KIES) member Urban Studies Institute (LUSI) member Her sabbatical project (2023-2025) involves collaborations with global institutions like Technical University of Denmark and NREL, aiming to strengthen wind energy research through industry partnerships and academic exchanges. Current students include Borgers, R., Jamaer, S., and Neirynck, J.

Jin ZhangView profile

Associate Professor

• Computational Biology
• Bioinformatics
• Cancer Genomics
• +5 more

Dr. Jin Zhang is an Associate Professor of Radiation Oncology at Washington University School of Medicine, with affiliations to the Siteman Cancer Center, Institute of Clinical and Translational Sciences (ICTS), and multiple divisions within the Roy and Diana Vagelos Division of Biology & Biomedical Sciences (DBBS), including Biomedical Informatics and Data Science, Cancer Biology, and Computational and Systems Biology. PhD in Computer Science (University of Connecticut, 2012) MPHS in Population Health Sciences (Washington University, 2022) Prior postdoctoral work at McDonnell Genome Institute and Department of Medicine, Washington University His research develops deep learning/AI models and multi-omics approaches (genomics, proteomics, metabolomics, imaging) to advance translational cancer research at the intersection of genomics and radiation oncology. Recent work includes Nature studies on dietary fructose-induced tumor growth mechanisms, Patterns publications on GAN-based gene expression analysis, and Clinical Cancer Research papers on HPV+ cancer MRD detection. Scientific awards include NCI K22, ITCR R21, R37, and R01 grants totaling over $9.7 million in funding. His lab trains DBBS and MSTP rotation students, with alumni pursuing academic/research roles at institutions like University of Washington and Memorial Sloan Kettering Cancer Center.

• Neuroscience
• Sex Differences in Health
• Decision-Making
• +3 more

Julia Cox is an Assistant Professor in the Department of Neuroscience at the Feinberg School of Medicine, Northwestern University, where she investigates how sex-based differences impact health outcomes and neural mechanisms of decision-making. Her research focuses on: Sex differences in disease prevalence and treatment response driven by genetic variations Neural substrates of sex-dependent motivation and avoidance learning Dopamine signaling in nucleus accumbens and VTA circuits Decision-making processes influenced by past experiences Neural engineering approaches like wireless optogenetics Dr. Cox's publication record demonstrates a strong neuroscience focus with 13 of 14 recent articles examining sex differences, neural circuits, and behavioral mechanisms. Her Nature Neuroscience publication revealed novel neural mechanisms underlying sex differences in motivation. The sole non-neuroscience publication (2000) in materials science suggests early-career interdisciplinary work, but her current research is exclusively neuroscience-oriented with emphasis on translational implications for personalized medicine.

• Experimental Economics
• Behavioral Economics
• Labor Economics
• +7 more

Henning Hermes is a Postdoctoral Researcher and Deputy Director at the Ludwig Erhard ifo Center for Social Market Economy and Institutional Economics (ifo Institute Munich). He is affiliated with the FAIR Center of Excellence at NHH Bergen, DICE Research , IZA , CEPR , CESifo Network , and the College for Interdisciplinary Educational Research (CIDER) . His research focuses on Experimental and Behavioral Economics , particularly in Labor, Education, Inequality , and Noncognitive Skills . He uses field experiments , lab experiments , and survey experiments to study causal impacts of interventions on early childcare access, gender equality, and maternal labor market participation. Henning's recent work examines the socioeconomic gap in childcare enrollment, gender discrimination in policy preferences, and cognitive training effects on child development. He has published in journals like Journal of the European Economic Association , Journal of Political Economy , and Nature Human Behaviour . Scientific Awards : CIDER Public Science Award (3rd prize, 2022) He co-organizes the Workshop on Field Experiments in Economics and Business and serves as guest editor for the European Economic Review special issue on 'Field Experiments to Reduce Inequality'.

Marie Anne Polo de BeaulieuView profile

Researcher

• Medieval History
• Historical Anthropology
• Religious Studies
• +3 more

Marie Anne Polo de Beaulieu is a CNRS Research Director at the School for Advanced Studies in the Social Sciences (EHESS), affiliated with the Center for Historical Research (CRH) and the Historical Anthropology of the Long Middle Ages (AHLOMA) team. A former student of École normale supérieure and agrégée in history, she specializes in medieval exempla, liturgical innovation, and the memory of the deceased, with a focus on narrative sources and religious practices. Doctorate (1984, EHESS) on Jean Gobi the Younger’s Scala coeli , supervised by Jacques Le Goff. Habilitation (2001, University of Paris I) on Preaching, norms, social practices , supervised by Claude Gauvard and Jean-Claude Schmitt. Her research explores how medieval exempla functioned in “making belief” and their role in liturgical and narrative expressions of death. She co-created the Thesaurus Exemplorum Medii Aevi database and has led editorial projects like the Exempla Medii Aevi collection. Recent work (2025) extends to visual exempla in Russian contexts and animal metaphors in medieval utopian models. She has held leadership roles, including directing the merged AHLOMA research group (since 2017), serving on the EHESS Board of Directors (2012-2016, 2018-2020), and contributing to networks like Menestrel and MSS . Awards include her 2012-2016 CNRS (section 32) membership and 2005-2006 Princeton Institute for Advanced Study affiliation.