جست‌وجوی استاد و پژوهشگر

• Evidence-Based Medicine
• Medical Education
• General Practice
• +۵ مورد دیگر

Professor Piet van der Keylen serves as Professor for Medicine and Health Sciences at Protestant University of Applied Sciences Nuremberg (EVHN) since 2022, holding concurrent roles as Ethics Commission member, Senate Research Committee member, and Ombudsperson for Good Scientific Practice. Previously, he held academic positions at Friedrich-Alexander University Erlangen-Nuremberg (FAU) from 2010-2022, including Postdoctoral Researcher and Teaching Coordinator at University Hospital Erlangen's Institute of General Medicine. His research spans evidence-based medicine , digital health interventions , and medical education , with recent focus on physician-patient communication tools (notably the award-winning back pain web portal), palliative care stressors, and pandemic-era medical teaching adaptations. Publications reveal strategic evolution from neuroanatomical studies (2016) toward high-impact clinical implementation research, particularly in primary care settings. Professor van der Keylen's scholarly output demonstrates growing influence in digital health (JCR scores up to 7.10) and practical healthcare innovation, culminating in the 2025 Wilfried-Lorenz Award. His work consistently addresses German healthcare system needs through Federal Joint Committee-funded projects. 2015-2016: Best Lecturer Award (preclinical section, Human Medicine) at FAU Erlangen-Nuremberg (awarded twice) 2021: FAU Teaching Award for Best Early Career Researcher 2020-2022: Best Lecturer Award (clinical section) at FAU Erlangen-Nuremberg (awarded three times) 2025: Wilfried-Lorenz Award for Healthcare Research (back pain portal study) As an active educator and curriculum developer, he supervises nursing and health science students at EVHN while leading the university's integration of evidence-based practice into clinical training. His research group collaborates with University Hospital Erlangen on federally funded projects, emphasizing practical solutions for primary care challenges including digital health adoption and clinician well-being.

• HIV Treatment
• Infectious Diseases
• Pediatrics
• +۸ مورد دیگر

Elijah Paintsil is a Professor at Yale University with appointments across multiple departments including Pediatrics (Infectious Diseases), Epidemiology of Microbial Diseases, Pharmacology, and the School of Management. He serves as Affiliated Faculty at the Yale Institute for Global Health and is actively involved with the Yale Cancer Center and Yale-UPR Integrated HIV Basic and Clinical Sciences Initiative. His research focuses on understanding host determinants of individual differences in response to antiretroviral therapy (ART), particularly examining virologic suppression, resistance evolution, and clinical toxicities. He has challenged existing paradigms regarding mitochondrial dysfunction in HIV treatment, developing the novel hypothesis that ART causes mitochondrial dysfunction through both pol-γ-dependent and pol-γ-independent mechanisms. Primary research locations: Yale University and Ghana (particularly Accra) Key research areas: HIV treatment response variability, metabolic complications in HIV patients, pediatric HIV, co-infections International focus: Strong research presence in Ghana with multiple collaborative studies His recent publication trend shows consistent output with 7 publications in 2025 and 9 in 2024, primarily focused on HIV-related metabolic disorders, co-infections, and treatment outcomes in Ghanaian populations. His work spans clinical research, epidemiology, and molecular mechanisms of HIV treatment. American Academy of Pediatrics, Fellow (2003) Infectious Diseases Society of America (IDSA), Member (2003) Pediatric Infectious Diseases Society, Member (2002) Professor Paintsil maintains an active research laboratory studying host determinants of HIV treatment response. His work bridges basic science mechanisms with clinical outcomes, particularly in resource-limited settings. He has established strong collaborative networks between Yale and Ghanaian institutions, creating a sustainable research infrastructure for studying HIV in diverse populations. His recent work on lipid profiles, oxidative stress, and metabolic complications in HIV patients represents an important contribution to understanding long-term outcomes in the antiretroviral therapy era.

• Implementation Science
• Prevention Science
• Biostatistics
• +۹ مورد دیگر

Donna Spiegelman serves as the Susan Dwight Bliss Professor of Biostatistics at Yale School of Public Health, Professor of Statistics and Data Science at Yale University, and Professor of Medicine (Cardiovascular Medicine) at Yale School of Medicine. She is also the Director of the Center for Methods in Implementation and Prevention Science (CMIPS) and Assistant Director of Global Oncology at Yale Cancer Center. Her academic appointments span multiple departments including Biostatistics, Statistics, Medicine, and various research centers across Yale's health sciences campus. Dr. Spiegelman earned her ScD in Biostatistics and Epidemiology from Harvard School of Public Health in 1989, following an MS in Biostatistics (1985) and BA in Psychology from Brandeis University (1977). Before joining Yale in 2018, she spent nearly 30 years as a professor at Harvard T.H. Chan School of Public Health. As one of the few researchers with a joint doctorate in biostatistics and epidemiology, she uniquely bridges these disciplines to address complex public health challenges. Her research focuses on implementation science, prevention science, and biostatistical methodology development. She examines barriers to implementing evidence-based interventions and develops statistical methods to address these challenges, including stepped-wedge and cluster randomized trials, causal inference methods, and techniques to correct for measurement error. Her work spans cancer prevention, HIV/AIDS care, cardiovascular disease, maternal and child health, and mental health promotion, with significant emphasis on global health applications. Dr. Spiegelman has received numerous accolades including being named a Highly Cited Researcher for four consecutive years (2018-2021), a Team Research Prize from Yale School of Public Health (2021), and recognition as a top female scientist. Her publication record demonstrates consistent contributions to methodological innovation with recent work focusing on integrated care models for HIV and hypertension, measurement error correction, and causal inference methods. As founder and director of CMIPS, she leads a multidisciplinary team developing innovative approaches to implementation science. The center focuses on translating research into practice, addressing the critical gap where only 14% of biomedical research is ever implemented, with 17 years passing on average from research submission to implementation. Her work has direct implications for improving healthcare delivery systems worldwide, particularly in resource-limited settings.

• Statistics
• Stochastic Processes
• Experimental Design
• +۶ مورد دیگر

Professor Holger Dette holds the Chair of Stochastics, especially Statistics at the Faculty of Mathematics, Ruhr University Bochum. His research program is centrally focused on advancing statistical theory and methodology through sustained DFG funding. His primary research interests include: Optimal experimental design (both classical and space-time variants) High-dimensional data analysis with bootstrap and sublinear methods Spatial statistics and random field modeling Random matrix theory applications in statistics Covariance structure inference Current research demonstrates strong trends toward computationally efficient methods for complex data structures, particularly in spatial and high-dimensional domains. His work maintains theoretical rigor while addressing interdisciplinary applications in genetics, finance, and material science. Professor Dette actively supervises within major research frameworks: Principal investigator for two Research Groups and multiple In-kind grants Sub-project manager in Collaborative Research Centers (SFB/Transregio) Participating scientist in Cluster of Excellence CASA Former involvement in Graduate School GRK 2131 His research group operates through the Chair of Stochastics, especially Statistics, which serves as the organizational hub for his DFG-funded projects and methodological development.

Simon Apersمشاهده پروفایل

پژوهشگر

• Quantum Algorithms
• Theoretical Computer Science
• Random Walks
• +۴ مورد دیگر

Simon Apers is a CNRS researcher at IRIF (Institut de Recherche en Informatique Fondamentale) at Université Paris Cité. He focuses on quantum algorithms with broader interests in theoretical computer science, including random walks, graph theory, and combinatorial optimization. His primary research interests span quantum computing, theoretical computer science, and algorithms. Apers has made significant contributions to quantum walks, quantum property testing, graph algorithms, and computational complexity. His work often bridges quantum information with classical theoretical computer science, exploring how quantum techniques can improve classical algorithms and solve problems more efficiently. He has developed quantum speedups for various computational tasks including sampling, optimization, and graph problems. Simon Apers serves as a program committee member for prestigious conferences including TQC'25, QIP'25, TQC'23, SODA'23, and ESA '21. He also serves as an editor for the journal Quantum. His teaching activities include courses at Sorbonne University (2022-present) on Advanced Quantum Algorithms, MPRI (2021-present) on Quantum Algorithms and Complexity, and Bad Honnef (2022). His publication record shows a strong trend toward quantum algorithms for graph problems, quantum walks, and connections between quantum computing and classical theoretical computer science. He frequently collaborates with researchers from various institutions across Europe and has published in top venues including FOCS, STACS, ESA, PRL, and JMLR. Simon Apers actively mentors students and has open positions for PhD students and postdocs in quantum algorithms at IRIF. His research group is involved in cutting-edge work at the intersection of quantum computing and theoretical computer science, with significant contributions to quantum walks, property testing, and computational complexity.

Alexander Westkampمشاهده پروفایل

دانشیار

• Market Design
• Behavioral Economics
• Matching Theory
• +۲ مورد دیگر

Alexander Westkamp is an Associate Professor of Economics at the University of Cologne's Faculty of Management, Economics and Social Sciences, holding a Cluster position as Associated Investigator since 2019. His research focuses on theoretical market design with applications in behavioral economics and matching theory. His primary research interests include: Market Design & Behavior Theoretical Foundations of Economics Matching mechanisms under complex constraints His work analyzes strategic behavior in centralized matching systems, with significant contributions to understanding stability, strategy-proofness, and implementation in settings ranging from German university admissions to general trading networks. Westkamp's publication record demonstrates consistent contributions to top economics journals, with recent work emphasizing trichotomous preferences, cumulative offer mechanisms, and flexible allotment systems. His research shows strong methodological rigor in game-theoretic modeling and mechanism design. He advises doctoral students in market design and matching theory, though specific advisees are not listed in available materials. His research has been supported through his Cluster of Excellence position at the University of Cologne. Westkamp maintains active collaboration with leading researchers including John Hatfield, Scott Kominers, and Vikram Manjunath, reflecting his integration within the international market design community.