Find Academic Supervisors

• Biostatistics
• Cardiovascular Epidemiology
• Clinical Trial Design
• +3 more

Lars Lindhagen serves as a Statistician at the UCR-Uppsala Clinical Research Center, which operates within Uppsala University's Faculty of Medicine. His professional work focuses on providing statistical expertise for clinical research projects, particularly those utilizing Swedish national health registries including SWEDEHEART and the National Swedish Spine Registry. Dr. Lindhagen's research interests span multiple medical domains with a strong emphasis on biostatistical methods applied to clinical questions. His work demonstrates particular expertise in cardiovascular epidemiology, where he has contributed to numerous studies examining treatment effects, medication adherence, and long-term outcomes following cardiac events. He has also made significant contributions to orthopedic and spinal research through registry-based analyses of surgical interventions and patient outcomes. His methodological strengths include registry-based study design, clinical trial statistics, and the application of advanced statistical techniques to large-scale medical data. Analysis of his recent publication record reveals a consistent pattern of collaborative research across cardiology, orthopedics, and epidemiology. His work frequently involves analyzing data from national registries to address clinically relevant questions about treatment effectiveness, patient outcomes, and risk stratification. A notable trend is his involvement in studies examining sex differences in cardiovascular disease outcomes and the application of statistical methods to improve understanding of complex medical conditions. His contributions typically focus on the statistical design, analysis, and interpretation rather than clinical aspects, highlighting his specialized role as a biostatistician within medical research teams. Lars Lindhagen actively collaborates with researchers across multiple medical specialties, serving as a statistical consultant on numerous clinical studies. His work supports evidence-based medicine by providing rigorous statistical analysis for research that directly informs clinical practice guidelines and healthcare decision-making in Sweden and internationally.

• Physical Activity
• Sedentary Behavior
• Executive Function
• +5 more

Dominika Maria Pindus serves as Assistant Professor in Kinesiology and Community Health and the Neuroscience Program at the University of Illinois Urbana-Champaign, with affiliate appointments at the Beckman Institute for Advanced Science and Technology and the Center for Social & Behavioral Science. Her research integrates exercise science, cognitive neuroscience, and public health to investigate how physical activity and sedentary behavior influence brain function across the lifespan. Her primary research focuses on: Mechanisms linking sedentary behavior to cognitive decline in aging populations Effects of high-intensity interval training on neural connectivity in older adults Physical activity interventions for children with obesity and behavioral issues Neurophysiological responses to exercise using fNIRS and ERP methodologies Current projects include the SITLess and HIIT2SITLess pilot trials examining cognitive outcomes from interrupting prolonged sitting. Her 43 scholarly outputs demonstrate strong interdisciplinary trends, with recent articles spanning BMJ Open , Advanced Science , and International Journal of Psychophysiology . Key thematic clusters include sedentary behavior interventions (25% of fingerprint), executive function enhancement (19%), obesity-related cognition (25%), and neural mechanisms of physical activity (34%). Media coverage includes a 2023 study on exercise intensity and attentional control in late-adolescent girls, disseminated through 14 X posts, 19 Bluesky references, and 30 Mendeley readers. Dr. Pindus collaborates extensively with international teams across 6 similar profiles in physical activity psychology, with research networks spanning multiple countries. Her work emphasizes translational applications for classroom settings, clinical obesity management, and aging populations.

• Entrepreneurship
• Technology Transfer
• Innovation Management
• +4 more

Emilio Paolucci is a Full Professor at the Department of Management and Production Engineering (DIGEP) at the Polytechnic University of Turin. He serves as Director of the School for Attitudinal Teaching and is actively involved in strategic collaborations, including the Partnership Agreement with UNIPOLTECH. His research focuses on entrepreneurship, technology transfer, and innovation, particularly in hi-tech start-ups and digital platforms. He leads multiple projects on sustainable innovation, circular business models, and the impact of digital technologies on industries. Prof. Paolucci has extensive experience in doctoral education, overseeing programs in Management and Production Engineering since 2006. He teaches courses on entrepreneurship, decision-making, and strategic management across undergraduate and graduate levels. His work includes over 50 publications and collaborations with institutions like Bocconi University, Bari Polytechnic, and Edmond de Rothschild Group. His research lines include technology commercialization, proof-of-concept programs, and the role of digital platforms in tourism and manufacturing. He has contributed to projects on hydrogen energy transition, AI in cancer research, and decarbonization strategies. His interdisciplinary approach bridges engineering, business, and policy, addressing challenges in innovation ecosystems and sustainable development. Prof. Paolucci advises PhD students exploring topics like constrained start-ups, Industry 4.0 integration, and AI adoption. He has led initiatives to enhance student entrepreneurship through incubators and challenge-based learning programs. His involvement in over 30 funded research projects underscores his commitment to translating academic insights into practical solutions for industry and society.

• Child Protection
• Social Work
• Machine Learning
• +7 more

Dr. Verity Bennett is a Research Fellow at Cardiff University's School of Computing and Informatics and School of Social Sciences, affiliated with the Centre for Social Care and Artificial Intelligence and Learning (SCALE) and the Children's Social Care Research and Development Centre (CASCADE). Her research focuses on multi-agency approaches to child protection, leveraging machine learning, computer vision, and injury interpretation to enhance decision-making tools for professionals. She holds a PhD in Evolutionary Biology from University College London, an MSc in Biomechanics from the University of Manchester, and a BSc in Geography and Geology from the University of Manchester. Her work includes evaluating interventions like the Social Workers in Schools (SWIS) Trial and Police in Schools programs, funded by the Youth Endowment Fund and Department for Education. She has contributed to projects addressing child burns, behavioral interventions, and healthcare data analysis for cerebral palsy. Bennett collaborates across disciplines, combining quantitative and qualitative methods to address safeguarding challenges and improve child welfare outcomes. Key research areas include child maltreatment detection, early intervention strategies, and the application of AI in social services. She has published extensively on topics ranging from clinical prediction tools for abuse identification to Schwartz Round implementations for staff wellbeing. Bennett is actively involved in teaching social work research methods and supervising postgraduate students.

Aryelly RodriguezView profile

Research Fellow

• Clinical Trials
• Medical Informatics
• Data Anonymization
• +3 more

Aryelly Rodriguez is a Research Fellow at the Usher Institute within the College of Medicine and Veterinary Medicine at the University of Edinburgh, based at the Edinburgh Clinical Trials Unit. Her expertise centers on medical informatics, clinical trial data management, and privacy-preserving methodologies for health data sharing. Her academic qualifications include: PhD in Medical Informatics, University of Edinburgh (2017-2024) MSc in Applied Statistics, Sheffield Hallam University (2006) MSc in Business Administration and Management, University of Aberdeen (2000) BSc in Production Engineering, Universidad Simón Bolívar (1998) Dr. Rodriguez's research focuses on critical challenges in clinical data privacy, particularly re-identification risks in anonymized trial datasets and ethical data sharing frameworks. She investigates statistical disclosure control methods while advancing digital health endpoints through wearable technologies and patient-centered outcome measures. Her work bridges biostatistics, regulatory science, and real-world clinical applications to enhance trial validity and participant safety. Analysis of her recent publications reveals converging themes: robust anonymization protocols for clinical datasets, researcher perspectives on data de-identification practices, and innovative trial designs like the Macrophage Therapy for Acute Liver Injury (MAIL) study. Her output demonstrates growing emphasis on practical implementation of privacy frameworks alongside emerging digital endpoint methodologies. No major scientific awards are documented in available sources. Dr. Rodriguez accepts PhD students and serves as a Statistical Expert on the Medical Research Council's Developmental Pathway Funding Scheme Panel. Her grant involvement spans clinical trials including the MAIL study for paracetamol-induced liver injury, reflecting active collaboration with hepatology and regenerative medicine teams. She operates within the Edinburgh Clinical Trials Unit at the Usher Building, collaborating closely with the Centre for Population Health Sciences on cluster randomized trials, trauma research, and stillbirth awareness initiatives. Her network extends to multi-stakeholder digital health consortia focused on wearable integration and endpoint validation.

• Neurology
• Guillain-Barré Syndrome
• Stroke
• +3 more

Adrián Infante Valenzuela is a Professor in the Department of Neurology at the Hospital Universitario Dr. José Eleuterio González and the Faculty of Medicine of the Universidad Autónoma de Nuevo León. He specializes in neurology with sub-specialization credentials from UANL (2017). His research explores cerebrovascular events, neuroinfectious diseases, and rare neurological conditions, with affiliations centered at UANL’s medical faculty. Research Focus: Dr. Infante Valenzuela investigates: Guillain-Barré syndrome and its links to viral infections like Zika Stroke epidemiology during global health crises (e.g., COVID-19) Cerebral venous thrombosis and ischemic stroke outcomes Rare neurodevelopmental disorders (e.g., septo-optic dysplasia) Publication Trends: His 15 most recent articles (2015–2025) reveal a strong emphasis on cerebrovascular diseases in pandemic contexts, diagnostic challenges in neuroimmunology, and case studies of rare syndromes. Key themes include stroke management innovations, neuroepidemiology, and autoimmune neurology. Awards & Recognition: Currently a candidate for Mexico’s Sistema Nacional de Investigadores in Medicine and Health Sciences. Clinical & Academic Impact: He contributes to neurovascular care units and collaborates with international consortia on stroke research, enhancing treatment protocols in resource-limited settings.

• Health psychology
• Implementation science
• Mental health services
• +5 more

Dr. Kate Bartlem is an NHMRC Early Career Fellow with the School of Psychological Sciences at the University of Newcastle, Australia. Her research focuses on addressing the chronic disease burden among disadvantaged population groups, with particular expertise in implementation science and translation of evidence-based practices into clinical services and community settings. She has established herself as a leading researcher in the integration of physical and mental health care, tobacco and e-cigarette cessation, and health behavior change interventions. Dr. Bartlem received her educational training at the University of Newcastle, where she earned both her Bachelor of Psychology (Honours) and Doctor of Philosophy. Her academic journey has been recognized with prestigious awards including the University Medal in Psychology, Chancellor's Award for Research Excellence, and Vice Chancellor's Award for Outstanding Research Candidates. Her research program has consistently focused on bridging the gap between evidence and practice in mental health settings, particularly examining how preventive care for chronic disease risk behaviors can be effectively integrated into mental health services. Dr. Bartlem's work has special emphasis on smoking cessation, nutrition, physical activity, and alcohol consumption among people with mental illness, with a strong commitment to addressing health disparities in vulnerable populations. The most recent publications reveal a clear trajectory in Dr. Bartlem's research, demonstrating increasing sophistication in implementation science methodologies and a growing focus on co-design approaches with community stakeholders. Her work spans from systematic reviews examining implementation strategies to rigorous randomized controlled trials testing interventions in real-world settings, with particular attention to the mental health context. Reducing Health Risks in the Community Award (Hunter New England Population Health, 2012) University Medal in Psychology (University of Newcastle, 2010) Chancellor's Award for Research Excellence (University of Newcastle, 2010) Vice Chancellor's Award for Outstanding Research Candidates (University of Newcastle, 2010) Three Minute Thesis University Finalist (University of Newcastle, 2014) Beryl Nashar Young Researcher Award Nominee (University of Newcastle, 2016) Australian Postgraduate Award (Commonwealth Government, 2016) Dr. Bartlem has secured significant research funding through her NHMRC Early Career Fellowship and has collaborated extensively with major institutions including the World Health Organization and Hunter New England Population Health. Her supervisory role appears to focus on implementation science projects related to mental health services and preventive care, with numerous publications co-authored with junior researchers. She has also contributed to teaching in health psychology courses at the University of Newcastle, including PSYC6601 Health and Psychology as course coordinator. Her work demonstrates strong collaboration with community mental health services and community managed organizations, translating research into practice through implementation support packages, staff training, and co-development of strategies with service providers. This practical approach ensures her research has direct applicability to improving health outcomes for people with mental illness.

Anthony HarrisView profile

Professor

• Economics of Health
• Economics of Pharmaceuticals
• Health Care Economics
• +4 more

Professor Anthony Harris is affiliated with Monash University and the Centre for Health Economics Impact Labs . His work focuses on the economics of health and healthcare, particularly evaluating the effectiveness and cost-effectiveness of health programs using experimental and observational data, econometric modeling, and decision analytic techniques. His research contributes to United Nations Sustainable Development Goals (SDGs), including health equity and poverty reduction. Recent projects include population-based interventions to reduce young driver crashes, telehealth programs for hip osteoarthritis, and evidence synthesis for immunoglobulin use optimization. Collaborations span institutions like NHMRC and multidisciplinary teams in Australia. Recent publications highlight his expertise in cost-effectiveness analyses for anticoagulant therapies, telehealth rehabilitation, and blood transfusion guidelines. These works are featured in high-impact journals such as Vox Sanguinis , The Lancet , and PLoS ONE , emphasizing practical applications in clinical decision-making and healthcare policy.

• Anesthesiology
• Perioperative Medicine
• Cardiac Surgery
• +3 more

Dr. Summer Syed is an Associate Clinical Professor in the Department of Anesthesia at McMaster University, with over 15 years of scholarly activity in perioperative medicine and cardiac anesthesia. His work focuses on: Anticoagulant management in surgical patients Coagulation and bleeding complications Perioperative pain and sedation protocols Transfusion medicine in cardiac surgery Dr. Syed has led or co-authored 13 clinical trials including the landmark FIBRES and FARES-II trials comparing fibrinogen replacement therapies. He has contributed to Canadian national guidelines for anesthesia practices and maintains active collaborations with leading perioperative researchers like Drs. Richard Whitlock and Philip Devereaux. Notable publication trends: Bleeding and coagulation management (2016-2025) Perioperative ultrasound applications (2021) Neurocognitive outcomes in cardiac anesthesia (2022)

• Hepatocellular Carcinoma
• Liver Surgery
• Surgical Oncology
• +3 more

Francesca Ratti is a Fixed-term Researcher at the Università Vita-Salute San Raffaele , affiliated with the Department of General Surgery within the School of Medicine. Her research focuses on hepatocellular carcinoma, surgical oncology, and minimally invasive liver surgery, with a particular emphasis on prognostic modeling and clinical outcomes. Recent publications highlight her work on: Prognostic biomarkers in liver resection AI ethics in hepato-pancreato-biliary surgery Comparative effectiveness of laparoscopic vs. open surgical techniques Robotic surgery feasibility in complex anatomical regions Dynamic risk stratification models for postoperative complications Her clinical research includes collaborations on the ORANGE II PLUS trial and international multicenter studies, applying advanced statistical methods like inverse probability weighting to improve recurrence-free survival prediction. She contributes to surgical education through internship programs while maintaining active involvement in translational research and clinical trial analysis.

• Medication Safety
• Health Informatics
• Patient-Provider Communication
• +5 more

Bruce L Lambert is a Professor in Medical Social Sciences (Intervention Science) at Northwestern University's Feinberg School of Medicine and concurrently holds a Professor position at the School of Communication. His work bridges clinical medicine, health informatics, and communication science with appointments across multiple institutes including the Center for Diabetes and Metabolism, Institute for Public Health and Medicine (IPHAM), and Northwestern University Clinical and Translational Sciences Institute (NUCATS). His research focuses on medication safety systems, electronic health record (EHR) design, and health communication. Key interests include preventing drug name confusion errors, optimizing indication-based prescribing, and developing clinical decision support tools. Lambert employs psycholinguistic testing to predict real-world medication errors and investigates secure messaging networks in healthcare settings. His work demonstrates how EHR interface design directly impacts wrong-patient and wrong-drug error rates. Analysis of his recent publications reveals strong emphasis on opioid safety in emergency departments, Veterans Health Administration prescribing patterns, and multimodal approaches to medication error prevention. His scholarship consistently addresses system-level interventions rather than individual provider blame, advocating for human factors engineering solutions in healthcare technology. Lambert actively contributes to medication safety policy, having published on Tall Man lettering limitations and the need for comprehensive immune monitoring in vaccine trials. His research directly informs EHR design standards and clinical workflow improvements across multiple healthcare systems. As an educator, he integrates principles of conservative prescribing and health literacy into medical training. His work on pharmacy deserts in minority communities highlights health equity concerns in medication access. Lambert's PhD from University of Illinois at Urbana-Champaign (1992) established his foundation in communication science applied to healthcare contexts.

• Malaria
• Infectious Diseases
• Epidemiology
• +7 more

Sunil Parikh, MD, MPH , is a Professor of Epidemiology (Microbial Diseases) and of Infectious Diseases at Yale School of Public Health and Yale School of Medicine. He has been affiliated with Yale since 2012 and co-leads the Yale Malaria Evolution and Environments Laboratory in the Department of Anthropology. His work integrates clinical research, epidemiology, and global health initiatives. Education: MD from Johns Hopkins University School of Medicine (1998), MPH from UC Berkeley (2005), residency at Beth Israel Deaconess Medical Center (2001), and infectious diseases fellowship at UCSF (2004). Research Interests: Dr. Parikh focuses on translational malaria studies in sub-Saharan Africa, including optimizing treatment regimens, chemoprevention strategies, drug resistance dynamics, and non-invasive diagnostics. His projects span Uganda, Burkina Faso, and Cameroon, examining host-parasite-drug interactions through observational, cross-sectional, and clinical trial methods. Article Trends: Recent publications highlight his work on ivermectin-based malaria control (RIMDAMAL trials), pharmacokinetic-pharmacodynamic modeling in HIV/malaria co-infected children, and novel diagnostics like the Cytophone device. Collaborations with Martina Wade, Justin Goodwin, and Amy Bei underscore his interdisciplinary approach. Scientific Awards: Hecht-Albert Pilot Innovation Award for Junior Faculty (2016) Students and Collaborators: Dr. Parikh mentors frequent collaborators, including Martina Wade (9 co-publications), Justin Goodwin (7), Fangyong Li (5), Amy Bei (3), Jean Bosco Ouedraogo (3), and Jillian Armstrong (2). Labs and Teams: He co-leads the Parikh Lab , which partners with the Yale Malaria Evolution and Environments Laboratory, Yale Institute for Global Health, and Yale-UPR Integrated HIV Initiative to advance malaria research and global health equity.

Esther van KleefView profile

Assistant Professor

• Antimicrobial Resistance (AMR)
• Emerging Infectious Diseases
• Infection Prevention and Control
• +3 more

Esther van Kleef is an Assistant Professor at the University Medical Centre Utrecht and a technical consultant for the World Health Organisation (WHO) on global surveillance of antimicrobial resistance (AMR). She is affiliated with the Oxford Nuffield Department of Medicine and focuses on interdisciplinary research to enhance public health responses to emerging infectious diseases through data science. Her research integrates mathematical modeling and surveillance data to analyze AMR transmission dynamics and evaluate infection prevention strategies . She works across high-income and low- to middle-income countries, with projects spanning Europe, Africa, and global health contexts. Recent publications highlight her expertise in AMR surveillance , outbreak analytics (including LLM applications), and behavioral interventions for antibiotic use reduction. She specializes in merging conventional and innovative data sources for policy-driven public health solutions.

Fan LiView profile

Professor

• Causal Inference
• Biostatistics
• Machine Learning
• +3 more

Fan Li is Professor of Statistical Science and Biostatistics & Bioinformatics at Duke University. His research focuses on causal inference applications in health, policy, and social science, with expertise in propensity scores, clinical trials, and machine learning interfaces. He develops methods for difference-in-differences, regression discontinuity, and representation learning. Li earned his PhD from Johns Hopkins University and BS from Peking University. Currently serving as PI on NIH/NIGMS grants developing statistical methods for pharmacological research, he previously received NSF funding for hyperpolarization techniques in chemical analysis.

Chan ParkView profile

Assistant Professor

• Causal Inference
• Statistical Theory
• Biostatistics
• +5 more

Chan Park is an Assistant Professor in the Department of Statistics at the University of Illinois Urbana-Champaign. He holds affiliations within the College of Liberal Arts & Sciences. His research focuses on causal inference under interference, unmeasured confounding, and optimal policy learning, leveraging nonparametric theory and optimization methods. Park holds a B.S. in Statistics from Seoul National University (2015) and a Ph.D. in Statistics from the University of Wisconsin-Madison (2022). Prior to his academic roles, he worked as a statistician at the Central Bank of Korea and completed a postdoctoral fellowship at the University of Pennsylvania. Education background includes: B.S. in Statistics, Seoul National University (2009-2015) Ph.D. in Statistics, University of Wisconsin-Madison (2017-2022) His research interests span causal inference methodologies, statistical theory, and applications in biostatistics and epidemiology. Recent work emphasizes robust covariate adjustment in cluster-randomized experiments and network treatment effects. No notable scientific awards are listed, though his publication record demonstrates impactful contributions to statistical methodology. Advising and grants sections remain underdeveloped in available records. Park is actively involved in collaborative research projects and maintains a digital presence via GitHub. His lab focuses on advancing statistical techniques for complex observational and experimental data structures.