جست‌وجوی استاد و پژوهشگر

• (Applied) microeconomics
• Experimental and Behavioral Economics
• Labor Economics
• +۴ مورد دیگر

Wladislaw Mill is a non-tenured Assistant Professor of Behavioral Economics in the Department of Economics at the University of Mannheim, Germany. His research investigates the intersection of morality and economic systems, focusing on the "dark side" of human behavior including discrimination, corruption, power abuse, tax evasion, war experiences, and spiteful economic decisions. Mill's research program spans Applied Microeconomics, Experimental and Behavioral Economics, Labor Economics, Political Economy, Public Economics, Economic Theory, and Economics of Crime. He employs a methodological toolkit combining theoretical modeling with laboratory, online, and field experiments, supplemented by big-data approaches (web-scraping) and machine learning tools (computer vision) to establish causal relationships in complex social settings. His work addresses critical questions about how discrimination shapes job networks, what drives power abuse, how war experiences affect religiosity, and how spiteful preferences manifest in economic behavior. His recent publications (2021-2025) reveal a cohesive focus on experimental investigations of destructive social dynamics, norms, and behavioral anomalies. Key thematic clusters include spite in strategic interactions (auctions, litigation), discrimination in professional contexts, the socio-psychological impacts of conflict and war, and the economic consequences of polarization. This body of work consistently bridges theoretical innovation with empirical validation through diverse experimental methodologies. Scientific Awards: No awards were mentioned in the provided text. Advising and Grants: The available documentation does not specify doctoral advisees, research grants, or funding sources. Labs and Teams: Mill is affiliated with the Collaborative Research Center TR 224 (CRC TR 224) at the University of Bonn as indicated in their member directory, while maintaining his primary appointment at the University of Mannheim. His research leverages both institutional environments for experimental and field-based investigations.

Ladan Shamsمشاهده پروفایل

استاد

• Multisensory Perception
• Bayesian Causal Inference
• Computational Neuroscience
• +۷ مورد دیگر

Ladan Shams is a Professor in the Department of Psychology , Department of BioEngineering , and Neuroscience Program at the University of California, Los Angeles (UCLA), where she directs the Multisensory Perception Laboratory . Her research explores how the brain integrates sensory information into coherent perceptions, combining behavioral studies, mathematical modeling, and computational approaches. Academic Affiliation: Department of Psychology, BioEngineering, and Neuroscience Program at UCLA Lab: Multisensory Perception Laboratory Research Focus: Dr. Shams investigates multisensory integration , Bayesian causal inference , perceptual learning , memory , and neural mechanisms of sensory processing. Recent work examines how crossmodal interactions influence memory, body perception, and aesthetic evaluation. Publications: Her 15 most recent articles (2022–2025) address topics like Bayesian causal inference , BCI tools , sensory precision , and perceptual learning , reflecting her computational and experimental approach to multisensory research. Scientific Recognition: Dr. Shams received the UCLA Undergraduate Research Faculty Mentorship Award (2021) and serves as Associate Editor for Psychonomic Bulletin & Review , Multisensory Research , and Frontiers in Integrative Neuroscience . Students: Mentored graduate students like Charlotte Kelly (NDSEG Fellow), Haocheng (BCI workshop organizer), and Sashel Haygood (NSF GRFP Honorable Mention) Funding: Supported by NSF, NIH, and DARPA grants Media: Featured in Science Friday , NPR , and ESPN for the Jersey Study

Richard Traunmüllerمشاهده پروفایل

استاد

• Political Science
• Empirical Democracy Research
• Social Cohesion
• +۶ مورد دیگر

Prof. Dr. Richard Traunmüller is a Professor of Political Science and Empirical Democracy Research at the University of Mannheim. He serves as Scientific Director of the German Internet Panel (GIP) and is affiliated with the Research Institute Social Cohesion (RISC) at Goethe University Frankfurt. His research spans multidimensional social change, immigration policy, wartime sexual violence, and quantitative methodology. School of Social Sciences, University of Mannheim Goethe University Frankfurt University of Essex University of Bern University of Konstanz His research focuses on: Democratic challenges from social structural reconfiguration Religious diversity and social cohesion Free speech regulation in digital democracies Long-term effects of wartime sexual violence Recent work analyzes: Causal impacts of immigration policies Contextual speech norms Gendered consequences of conflict trauma Bayesian approaches to sensitive topics Scientific awards include: BEST PAPER AWARD (CES Immigration Research Network, 2017) BEST ARTICLE AWARD (APSA Migration & Citizenship, 2017) He teaches courses on: Bayesian Statistics Data Visualization Free Speech & Censorship Political Methodology Conflict Studies

Lorenzo Farinaمشاهده پروفایل

استاد

• Network Medicine
• Bioinformatics
• Systems Biology
• +۶ مورد دیگر

Lorenzo Farina is a Full Professor at Sapienza University of Rome's Faculty of Information Engineering, Computer Science and Statistics, specializing in Electronic and Computer Bioengineering (ING-INF/06). With over 25 years of academic leadership, he co-founded Italy's first Bioinformatics degree program and established key oncology precision medicine initiatives, maintaining active collaborations with Harvard Medical School's network medicine division. His educational background includes a cum laude Electronic Engineering degree and PhD in Systems Engineering, both from Sapienza University. These foundational studies evolved into pioneering work in positive linear systems theory, evidenced by his highly-cited Wiley textbook Positive Linear Systems: Theory and Applications (2000). Farina's research centers on network medicine – applying complex network science to molecular medicine since his 2004 breakthrough. His work spans cancer mechanisms (breast, glioblastoma, lung), drug repositioning (including COVID-19 applications), and liquid biopsy biomarker development. Current projects focus on miRNA-based network biomarkers for cancer diagnostics and immunotherapy response prediction, integrating multi-omics data through advanced computational frameworks. Analysis of his 15 most recent publications (2024-2025) reveals dominant themes: sexual dimorphism in cancer networks (MIRROR platform), immunotherapy response signatures, and critical examinations of AI's role in precision medicine. His work consistently bridges computational innovation with clinical applications, particularly in oncology diagnostics and therapeutic optimization. His scientific recognition includes: 2001 Guillemin-Cauer Award for best IEEE Transactions on Circuits and Systems article 2014 SysBio Award for annual best publication Farina actively mentors through interdisciplinary programs he established, including the Network Oncology doctoral program. His laboratory collaborations span Sapienza's Oncogenomics and Immunology Laboratories, Harvard's Channing Division of Network Medicine, and clinical departments in oncology and radiology, driving translational research from computational models to patient applications. He leads multiple research teams focused on network-based diagnostics, including the MIRROR platform for cancer disparity analysis and liquid biopsy development teams investigating circulating miRNA networks for early cancer detection across multiple malignancies.

Ben Jannمشاهده پروفایل

استاد

• Statistical Methods
• Data Visualization
• Social Inequality
• +۲ مورد دیگر

Ben Jann is a Professor and current Department Head at the University of Bern in the Department of Social Sciences . His methodological expertise spans statistical software development, decomposition analysis, and data visualization. Role: Department Head Institution: University of Bern Department: Department of Social Sciences Research Interests : Jann specializes in creating Stata modules for advanced statistical analysis, including geospatial mapping (geoplot), robust regression (robreg10), and inequality decomposition (oaxaca-blinder methods). His substantive work examines social inequality through economic and sociological lenses, analyzing how living costs and taxation systems impact income distribution in Switzerland. He also investigates educational transitions and gender disparities in STEM occupational choices through longitudinal studies like TREE2. Recent Publications Trends : Jann’s 15 most recent articles (2025-2023) demonstrate his focus on statistical software development for social science applications. Key contributions include methods for marginal odds ratios (2023), two-level model variance decomposition (2025), and list experiment analysis (2025). His empirical work connects statistical methodology to pressing social issues like gender wage gaps (2021) and teacher content knowledge in developing countries (2021).

Paul W Burridgeمشاهده پروفایل

دانشیار

• Pharmacogenomics
• Cardio-Oncology
• Induced Pluripotent Stem Cell Modeling
• +۵ مورد دیگر

Paul W Burridge, PhD is an Associate Professor in the Department of Pharmacology at Northwestern University's Feinberg School of Medicine and a founding faculty member of the Center for Pharmacogenomics. His laboratory specializes in human induced pluripotent stem cell (hiPSC) modeling for pharmacogenomics and cardio-oncology research. Dr. Burridge's research focuses on understanding how genomic variation influences drug efficacy and toxicity, particularly in cancer therapy-induced cardiovascular complications. His lab pioneered several key methodologies including the first directed cardiac differentiation protocol, non-integrating blood-to-iPSC reprogramming, and chemically defined differentiation protocols. Current projects span cardio-oncology, arrhythmia mechanisms, regenerative medicine, hiPSC models of breast cancer, and cultivated meat applications. Analysis of his 15 most recent publications reveals a strong emphasis on pharmacogenomics of anthracycline cardiotoxicity, with significant focus on genomic risk prediction in childhood cancer survivors, molecular mechanisms of cardiotoxicity, and development of cardioprotective strategies. His work increasingly integrates large-scale genomic analysis with hiPSC modeling to establish causal relationships between genetic variants and clinical outcomes. Fellow of American Heart Association (2016) Recipient of NCI R01 grant for Nilotinib Induced Artery Disease research NIH NHLBI Pathway to Independence Award recipient Editorial Board Member, Journal of Molecular and Cellular Cardiology (2020-present) Associate Editor, JACC CardioOncology (2018-present) Dr. Burridge advises multiple postdoctoral fellows including Ning Ge (cardiac arrhythmia modeling), Praeploy Pongpamorn (chemically defined differentiation), Nnamdi Uche (population-specific doxorubicin susceptibility), and George Gibbons. His lab has secured substantial grant funding for projects including large-scale hiPSC production, cardiotoxicity screening platforms, and novel drug discovery initiatives. The Burridge lab maintains extensive resources including high-throughput screening systems, CRISPR editing platforms, and bioreactor-based differentiation systems, all developed with a focus on eliminating animal-derived products from research.

• Philosophy of Physics
• Quantum Mechanics
• Relativity Theory
• +۳ مورد دیگر

Tomasz Placek is a Professor at the Jagiellonian University within the Institute of Philosophy , specifically the Department of Epistemology . His work bridges philosophy of physics , ontology , and theories of agency , with a focus on quantum mechanics, relativity, and epistemological frameworks. Research Interests : Philosophy of physics (quantum theory, relativity), causal set theory, determinism vs. indeterminism, and modal interpretations of spacetime. Key Contributions : Analysis of Wigner’s Friend paradoxes, causal structures in quantum correlations, and topological issues in indeterministic models. Email : tomasz.placek@uj.edu.pl

Sumon Biswasمشاهده پروفایل

استادیار

• Software Engineering
• Artificial Intelligence
• Programming Languages
• +۵ مورد دیگر

Sumon Biswas is a tenure-track Assistant Professor in the Department of Computer and Data Sciences at Case School of Engineering, Case Western Reserve University. Previously, he was a Postdoctoral Researcher at the Institute for Software Research (ISR) at Carnegie Mellon University, working with Dr. Eunsuk Kang. He received his Ph.D. in Computer Science from Iowa State University under the supervision of Dr. Hridesh Rajan. His research focuses on the intersection of Software Engineering and Artificial Intelligence with particular emphasis on responsible AI engineering. His work spans several key areas: Formal verification and reasoning of fairness in AI systems Designing fair and safe AI systems AI engineering and analysis of machine learning software Long-term risks in machine learning systems Analysis of technical debt in AI/ML systems Dr. Biswas has made significant contributions to understanding and addressing fairness in machine learning pipelines, verification of neural networks, causal reasoning in ML pipelines, and safety assurance of predictive systems. His recent work increasingly focuses on foundation models and large language models (LLMs), with an emphasis on safety and responsible deployment of AI agents. His lab operates the state-of-the-art AISC2 cluster with five HGX H200 servers featuring 40 NVIDIA H200 GPUs. His publications show a consistent trend toward addressing both theoretical and practical challenges in responsible AI, with increasing focus on long-term system behavior, LLMs, and practical deployment challenges. The research spans formal methods, empirical studies, and practical tool development. Dr. Biswas has received several awards including the Research Excellence Award from Iowa State University and has been invited to serve on the Board of Distinguished Reviewers for ACM Transactions on Software Engineering and Methodology (TOSEM). He serves on the program committees of major software engineering conferences including ICSE, ASE, and ESEC/FSE, and has reviewed for prestigious journals such as IEEE Transactions on Software Engineering. As an educator, he teaches courses on Responsible AI Engineering and Software Engineering, focusing on building high-quality software systems that meet responsible AI principles including fairness, robustness, explainability, and safety.

Alexia Auffèvesمشاهده پروفایل

استاد پژوهشی

• Quantum Energetics
• Quantum Optics
• Quantum Foundations
• +۱ مورد دیگر

Alexia Auffèves serves as a First Class Research Director (DR1) at the French National Centre for Scientific Research (CNRS) and holds a Visiting Research Professor position at the Centre for Quantum Technologies (CQT), National University of Singapore. She directs the CNRS International Research Lab MajuLab and co-founded the Quantum Energy Initiative (QEI), an interdisciplinary global consortium investigating the energy footprint of quantum technologies. She completed her experimental PhD under Nobel laureate Prof. Serge Haroche. From 2017-2022, she led the QuantAlps center for quantum science in Grenoble before launching the Quantum Energy Initiative in 2022. Dr. Auffèves pioneers research at the intersection of quantum energetics, quantum optics, and quantum foundations. Her work establishes fundamental principles for quantifying energy costs in quantum information processing, bridging theoretical physics with philosophical inquiry. Recent focus includes developing energy efficiency metrics for quantum processors and analyzing thermodynamic constraints in quantum measurements. Her 2023-2025 publications reveal a cohesive research trajectory centered on quantum thermodynamics. Key contributions include establishing energy cost frameworks for quantum measurements, demonstrating reservoir-free decoherence mechanisms, and linking quantum negativity to anomalous energy exchanges. These works consistently integrate theoretical modeling with experimental validation through collaborations with leading quantum hardware groups. She leads multiple high-impact projects including BACQ and HQI (French Quantum Strategy), NGap (NRF), and OECQ (French Public Bank of Investment), involving industry partners like Alice&Bob, Quandela, and EDF to optimize quantum processor energy efficiency. Dr. Auffèves mentors a multinational research team comprising Kiarn Laverick, Kian Hwee Lim, Samyak Prasad, Nathan Shetell, Harshit Verma, Hanlin Nie, and PhD student Tejas Acharya. Her group operates within MajuLab and the Quantum Energy Team, driving collaborative research across France, Singapore, and international institutions.

B. Douglas Bernheimمشاهده پروفایل

استاد

• Behavioral Economics
• Public Economics
• Game Theory
• +۷ مورد دیگر

B. Douglas Bernheim is the Edward Ames Edmonds Professor of Economics at Stanford University's Department of Economics. He serves as the Academic Council Faculty Director of Undergraduate Studies, overseeing academic programs and policies for undergraduate economics students. His research spans behavioral economics, public economics, game theory, and financial economics, with notable contributions to rationalizability in game theory, coalition-proofness, and behavioral welfare economics frameworks. Professor Bernheim has received prestigious recognitions including an honorary doctorate from the University of Zurich and the 2022 Exeter Prize for groundbreaking work in experimental economics. His work often bridges theoretical economics with practical policy implications, particularly in areas like financial education and addictive behaviors. Research Interests: - Behavioral Welfare Economics - Social Motives for Economic Choices - Financial Education Policies - Theories of Collusion and Market Structures His recent publications explore interventionist policies in welfare states, peer influence in financial decisions, and the empirical foundations of decision theories like cumulative prospect theory. Bernheim's work emphasizes rigorous experimental methods and real-world policy applications, reflecting his dual focus on academic theory and societal impact.

• Human Resources Management
• Nonprofit Organizations
• Environmental Management
• +۳ مورد دیگر

Patrick VALEAU is a Full Professor specializing in Human Resources Management at the University of Rennes, affiliated with the CREM UMR CNRS 6211 research center. He serves as Director of Studies for the DU Recherche en Management program and contributes to the Formation continue initiatives. His research focuses on HR practices in nonprofit organizations (NPOs), environmental management within organizations, entrepreneurial persistence, and the intersection of organizational behavior and sustainability. Key research themes include mission-based HR strategies in NPOs, green HR practices for environmental performance, and the role of commitment in sustaining ventures during decline. He has also explored governance structures in religious associations and pandemic-era workplace safety behaviors. His work integrates qualitative and quantitative methods, including fuzzy-set qualitative comparative analysis (fsQCA) and longitudinal studies. Recent publications highlight innovations in HRM for environmental initiatives, the mediating effects of perceived organizational support, and the strategic orientations influencing high-commitment HR adoption. His research often bridges theory and practice, offering actionable insights for nonprofit governance, sustainable business practices, and entrepreneurial resilience. Patrick VALEAU collaborates with international scholars and contributes to journals such as Employee Relations , Journal of Environmental Planning and Management , and Nonprofit and Voluntary Sector Quarterly . His work addresses contemporary challenges in organizational management, emphasizing adaptability and ethical practices across diverse sectors.

• Computer Vision
• Metric Learning
• Image Generation
• +۳ مورد دیگر

Dr. Xinyu Zhang is a Research Fellow at the Australian Institute for Machine Learning (AIML), University of Adelaide's Faculty of Sciences, Engineering and Technology. Her research bridges computer vision and machine learning, focusing on image/video generation, self-supervised learning, and multimodal retrieval for human-centric AI applications. Zhang's current investigations include: Causal representation learning and multimodal integration Bayesian deep learning frameworks Video generation with temporal consistency Lightweight detection transformers Unsupervised person re-identification Analysis of recent publications reveals strong emphases on generative modeling innovations (especially video synthesis), efficient transformer architectures for real-time applications, and self-supervised representation learning. Her work frequently addresses the alignment between latent representations and human perception across vision-language tasks. Dr. Zhang co-supervises graduate students on projects involving multi-agent 3D scene generation and knowledge transfer in low-supervision learning. She serves as conference reviewer for premier venues including CVPR, ICCV, and NeurIPS, contributing to the advancement of computer vision research.

Lisa Leeمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Reinforcement Learning
• Continual Learning
• +۵ مورد دیگر

Lisa Lee is a Research Scientist at Google DeepMind, focusing on creating AI agents that emulate biological learning and adaptability. She previously taught at Princeton University and received TA awards for Deep Reinforcement Learning and Probabilistic Graphical Models. Education: PhD in Machine Learning from Carnegie Mellon University (advised by Ruslan Salakhutdinov and Eric Xing); A.B. in Mathematics from Princeton University (advised by Sanjeev Arora). Her research centers on AI embodiment, intrinsic motivation, and hierarchical planning. She explores how evolutionary-inspired inductive biases and memory mechanisms can enable agents to generalize across physical and conceptual domains, as demonstrated in her work on robotic agility benchmarks and multimodal transformers. Notable scientific contributions include the Barkour quadruped robot benchmark, Gemini multimodal models, and theoretical work on causal language models. She co-organized key AI workshops at NeurIPS and ICML, and her awards include Princeton's TA of the Year for technical courses. Leadership: ICML Workflow Chair (2019), NeurIPS workshop co-organizer (2019, 2021), peer reviewer for top AI conferences.

Thomas Banitzمشاهده پروفایل

پژوهشگر

• Ecological Modelling
• Biodiversity Dynamics
• Microbial Ecology
• +۷ مورد دیگر

Thomas Banitz is a Researcher in the Department of Ecological Modelling at the Helmholtz Centre for Environmental Research (UFZ) in Leipzig, Germany. His work focuses on developing computational models to study ecological systems, population dynamics, and ecosystem functions. Key research areas include grassland biodiversity responses to environmental changes, microbial ecology, and causal reasoning in social-ecological systems. He leads projects like BioDT (biodiversity digital twin) and contributed to CauSES (causation in social-ecological systems). Education: PhD in Environmental Sciences from Universität Osnabrück (2011), Dissertation: 'Modelling bacterial growth, dispersal and biodegradation'. Research Highlights: Developed individual-based models for microbial systems (e.g., McComedy tool) Investigated microbial interactions and ecosystem processes in disturbed environments Advanced causal explanation frameworks for complex systems Explored spatiotemporal dynamics of biodiversity under environmental stressors Labs/Teams: Member of FORMIND vegetation model team and EcoEpi ecological epidemiology initiative. Collaborates with interdisciplinary groups on digital twins and sustainability science.

Christopher Leanمشاهده پروفایل

پژوهشگر ارشد

• Philosophy of the Life Sciences
• Bioethics
• Environmental Ethics
• +۳ مورد دیگر

Christopher Lean is a Postdoctoral Fellow in the Department of Philosophy at Macquarie University, affiliated with the School of Humanities Ethics and Agency Research Centre and the ARC Centre of Excellence in Synthetic Biology under Prof. Wendy Rogers. His research focuses on the philosophy of life sciences (biology, ecology, medicine) and ethics (bioethics, environment, technology), particularly exploring the role of biotechnology in conservation science and invasive species management. Lean holds a PhD from the Australian National University (2019) in Ecological Kinds and the Units of Conservation. His work bridges philosophy and applied science, addressing ethical dilemmas in biotechnology applications, conservation strategies, and synthetic biology governance. Key research interests include explicit value trade-offs in conservation, the ethics of synthetic biology, and the implications of de-extinction. He has contributed to high-impact journals like Trends in Ecology & Evolution and Cambridge Prisms , focusing on topics such as invasive species ethics, moral hazard in biotechnology, and biodiversity preservation. Lean received the Australian Association of Philosophy Media Prize (2024) and leads the Native Yeast Biobank: A Resource for Synbio Research project (2022–present). His media engagements include expert commentary on The New York Times and ABC's The Philosophers Zone . His academic contributions span interdisciplinary collaborations, emphasizing the intersection of philosophical inquiry and scientific practice in addressing global environmental challenges.