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Michelle TanView profile

Research Fellow

• Clinical practice guidelines
• Health policy development
• Health services evaluation
• +14 more

Roles and Affiliations: Michelle Tan is a Research Fellow at Monash University's Centre for Medicine Use and Safety, collaborating with the National Centre for Healthy Ageing and Australian Department of Health. She holds honorary positions at King’s College London (Affiliate Research Fellow) and the University of Queensland (Adjunct Research Fellow). Her work focuses on evidence-based guideline development, health policy, and leveraging large datasets to inform national policies. Education: PhD in Medicine (The University of Sydney, 2020) Research Training: King’s College London, Monash University, and Newcastle University. Research Interests: Her expertise spans clinical guidelines, multimorbidity, healthy ageing, and obesity research. She applies advanced statistical methods to study chronic disease management, public health policy, and healthcare quality improvement. Grants and Awards: NHMRC Ideas Grant (2025-2029) European Association for the Study of Obesity Travel Grant (2024) University of Sydney SEED Grant (2019) Multiple scholarships including Commonwealth Government Research Training Program (2017-2020). Key Collaborations: Works with Dr. Nic Kormas on NSW bariatric surgery programs, and with institutions like the NIHR Policy Research Unit (UK), LSE, and WHO-linked initiatives. Labs/Teams: Leads projects in metabolic health, guideline development, and policy analysis across multiple institutions in Australia and the UK.

Ortis YankeyView profile

Research Fellow

• Spatial Epidemiology
• Population Modelling
• Health/Medical Geography
• +3 more

Ortis Yankey is a Research Fellow and Geospatial Data Analyst with the WorldPop Research Group at the University of Southampton, UK. He holds a Ph.D. in Geography from Kent State University (Ohio, USA). His research focuses on Bayesian spatial statistics, spatial and spatiotemporal epidemiology, and health/medical geography. Current work involves developing statistical approaches to produce high-resolution population estimates in low-income countries using geospatial data integration and examining health outcomes in underserved populations. Education: Ph.D. in Geography, Kent State University, Ohio, USA Research Interests: Population Modelling Spatial Epidemiology Health/Medical Geography Spatial Statistics Articles Trends: Recent work emphasizes Bayesian methods, spatial data integration for public health, and addressing demographic data gaps in low-resource settings. Themes include healthcare accessibility in Ghana, obesity predictors in Uganda, and vaccination coverage mapping. Labs/Teams: Active member of the WorldPop Research Group and the Population, Health and Wellbeing (PHeW) research group.

Carolina RuizView profile

Professor

• Machine Learning
• Artificial Intelligence
• Data Mining
• +5 more

Carolina Ruiz is the Associate Dean of Arts and Sciences and Harold L. Jurist Dean’s Professor of Computer Science at Worcester Polytechnic Institute (WPI). She holds a PhD in Computer Science from the University of Maryland College Park (1996) and has been at WPI since 1997, progressing from Assistant Professor to Full Professor. Her research focuses on Machine Learning, Artificial Intelligence, and Data Mining applied to medicine, health, and education. Notable projects include developing AI-driven methods for sleep analysis, behavioral health interventions like the SlipBuddy app, and interdisciplinary programs in Bioinformatics and Neuroscience. She leads the Knowledge Discovery and Data Mining Research Group and serves on WPI’s Academic Planning Committee. Ruiz has advised over 35 graduate students, 150 undergraduates, and 12 high school researchers, emphasizing vertical integration of research teams. She co-led a $1.2M NSF grant (2017-2021) bridging Biology and Computer Science education through transdisciplinary curricula. Key service roles include Associate Department Head of Computer Science and governance committees at WPI. Education: PhD Computer Science, University of Maryland (1996) MS Computer Science, Universidad de Los Andes (1990) BS Computer Science & Mathematics, Universidad de Los Andes (1988-1989) Ruiz’s research spans medical AI applications (stroke prediction, sleep modeling), educational technology (computational biology curricula), and wearable sensor analytics. Her work has been featured in media including Medical News Today and NSF-funded initiatives. She emphasizes translational research bridging academia and real-world societal challenges.

Sudharsanan NikkilView profile

Assistant Professor

• Behavioral Science
• Public Health
• Global Health
• +3 more

Prof. Sudharsanan Nikkil is a Rudolf-Mößbauer Assistant Professor and head of the Behavioral Sciences in Prevention and Care at the TUM School of Medicine and Health, Technical University of Munich. His research focuses on applying behavioral science insights to improve preventive healthcare in low- and middle-income countries, particularly addressing cardiovascular disease prevention and aging societies in Asia and Africa. He holds a BA from UC Berkeley, MPH from Emory University, and MS/PhD from the University of Pennsylvania. Key research areas include: Behavioral determinants of health decisions Interventions to enhance preventive care delivery Health systems strengthening in LMICs Awards: Lehrpreis Beste Vorlesung (2025) Falling Walls Science Breakthrough Finalist (2022) Delta Omega Honor Society (2013) Recent Work Trends: His 2025 studies emphasize randomized trials on hypertension management, health insurance utilization, and the HEARTS initiative for CVD reduction. 2023-2024 work explores machine learning applications in cardiovascular risk prediction and WhatsApp-based interventions for follow-up adherence.

• Biomedical Engineering
• Sleep Medicine
• Cardiorespiratory Physiology
• +3 more

Professor Philip de Chazal holds the ResMed Chair in Biomedical Engineering and is Director of the Institute of Biomedical Engineering and Technology at the University of Sydney. He leads research and educational activities in biomedical engineering, collaborating across the Charles Perkins Centre and Faculty of Engineering. His academic background includes a BE, MBiomedE, and PhD from UNSW. Research focuses on sleep and cardiorespiratory physiology, particularly developing non-invasive diagnostic tools for sleep disorders. He co-founded BiancaMed, a company commercializing sleep apnea detection technologies. His work bridges clinical needs with engineering solutions, emphasizing sleep-disordered breathing as a global health issue. Key awards include the ARC Future Fellowship (2012-2016) and Irish Times Innovation Award (2010). He has authored over 128 publications and holds 9 patents, with recent work on OSA symptom subtypes, cardiovascular outcomes, and mandibular advancement device innovations. Current projects explore sleep-activity associations and phenotypic approaches to OSA management. Advising includes Tian YANG (PhD student). He collaborates with global institutions like UCD, CSIRO, and the Charles Perkins Centre. His lab develops technologies for sleep monitoring and clinical translation, aiming to improve chronic disease management through precision medicine.

Amit PujariView profile

Associate Professor

• Biomedical Engineering
• Neurorehabilitation Engineering
• Neuromodulation
• +5 more

Associate Professor Amit Pujari is a biomedical engineer and neuroscientist at the University of Hertfordshire, leading the Neu(RAL)² Laboratory. He holds an honorary position at the University of Aberdeen and is a Royal Academy of Engineering Industrial Fellow. His work focuses on developing non-invasive neuromodulatory devices for stroke and spinal injury rehabilitation. Education: PhD in Biomedical Engineering, University of Aberdeen (2016) MSc in Biomedical Engineering, University of Strathclyde (2007) BE in Instrumentation & Control Engineering, Pune University (2003) Research Interests: Optimizing neuromodulatory stimuli (vibrotactile/electrical) for rehabilitation, neurophysiological basis of vibration therapy, and assistive technologies. His lab is equipped with advanced tools like high-density EMG systems, TMSi devices, and custom vibration stimulators. Awards: Academy of Medical Sciences’ Top 25 Emerging Leaders (2023) British Science Association Award Lecture (2022) Winston Churchill Memorial Trust Fellowship (2017) Grants/Projects: VECTOR: Randomized controlled trial for Crohn’s disease rehabilitation (2024–2027) SPASMS: Wearable sensor technology for spasticity management (2023–2025) User-led design of neurotechnologies for stroke survivors (2023–2025) Labs: Neu(RAL)² Laboratory focuses on neural systems rehabilitation, housing state-of-the-art equipment for EMG/EEG, TMS, and custom devices.

Francesca Dalia FaraciView profile

Senior Lecturer

• Biomedical Signal Processing
• Medical Data Analysis
• Wearable Technology
• +5 more

Francesca Dalia Faraci is a Senior Lecturer and Researcher at the Department of Innovative Technologies (DTI) of SUPSI. She holds a PhD in Electronics from the University of York (UK) and a Laurea in Physics from the University of Genoa (Italy). Her research focuses on biomedical signal processing, statistical data analysis, and wearable technology applications in healthcare. She leads projects such as Cardio MIPA (arrhythmia monitoring) and AutoPlay_DD (child development analysis via smart toys). Key contributions include developing algorithms for sleep staging, arrhythmia detection, and synthetic ECG generation. Awards include the GOSPEL and DoE School Certificates. She coordinates research projects and teaches courses in Physics and Applied Statistics. Education: PhD in Electronics (University of York, 2006), Laurea in Physics (University of Genoa, 2002) Roles: Senior Lecturer, Researcher, Project Coordinator Key Projects: Tackling teleWorking Impacts, my Doctor's Lifestyle (lifestyle medicine), Telemonitoring Breast Cancer Her research bridges AI and clinical practice, emphasizing ethical frameworks and complementarity between clinicians and AI systems. Recent work includes causal inference for sleep dynamics and bias quantification in healthcare algorithms.

• Patient Safety
• Behavioral Medicine
• Healthcare Simulation
• +17 more

Ambrose Wong, MD, MSEd, MHS, is an Associate Professor Adjunct in the Department of Emergency Medicine at Yale School of Medicine. He is a prominent researcher in patient safety, behavioral health, and healthcare simulation, with a focus on improving care for agitated patients and preventing workplace violence in emergency settings. University: Yale School of Medicine School: School of Medicine Department: Department of Emergency Medicine Email: ambrose.wong@yale.edu Dr. Wong’s research spans qualitative and mixed-methods health services research, with a strong emphasis on teamwork, technology-based interventions, and behavioral health. He applies healthcare simulation to develop and test innovative solutions such as agitation code teams and peer support-enhanced crisis response systems. His work addresses critical issues including clinician burnout, health equity in restraint use, and the impact of social determinants on emergency care. His recent publications highlight a trajectory toward leveraging artificial intelligence for agitation prediction, conducting large pragmatic trials, and investigating disparities in behavioral emergency care. This reflects a growing integration of data science, implementation science, and equity-focused research in emergency medicine. Dr. Wong has received significant recognition and funding for his work, including: NIMH R01 grant for system dynamics modeling to improve agitation management PCORI funding for a pragmatic trial on peer support in crisis response NIMH K23 and NIH KL2 career development awards Society for Simulation in Healthcare Research Award He actively mentors and collaborates, with frequent co-authorship with researchers such as Bidisha Nath, Leigh Evans, James Dziura, and Kimberly Yonkers. He serves on editorial boards for Annals of Emergency Medicine and Academic Emergency Medicine Education & Training , and is a member of the Society for Academic Emergency Medicine Simulation Academy. He also contributes to institutional leadership as a member of the Dean's Advisory Council for LGBTQI Affairs at Yale. His laboratory and research team focus on interdisciplinary collaboration, integrating emergency medicine, psychiatry, data science, and public health to develop scalable, evidence-based interventions that enhance safety and equity in emergency care.

Seonjoo LeeView profile

Associate Clinical Professor

• Biostatistics
• Neuroimaging
• Psychiatry
• +3 more

Seonjoo Lee is an Associate Professor of Clinical Biostatistics (in Psychiatry) at Columbia University's Mailman School of Public Health. She is affiliated with the Data Science Institute (DSI) and serves on the Computational Social Science Committee. Her research focuses on biostatistical methods for neuroimaging and psychiatric studies. B.S. and M.S. in Statistics from Seoul National University Ph.D. in Statistics and Operations Research from University of North Carolina at Chapel Hill Postdoctoral training in Biostatistics/Biomedical Engineering at Henry Jackson Foundation and Johns Hopkins University Dr. Lee's research bridges biostatistics , neuroimaging , and psychiatric epidemiology . Key areas include: Statistical modeling of neurodegenerative diseases (Alzheimer's, ALS) Maternal/child health interactions using large-scale data Machine learning approaches for functional connectivity analysis Longitudinal studies of cognitive aging and sleep disorders Publication trends show expertise in Alzheimer's disease , maternal health , and neuroimaging biomarkers . Her work combines multimodal data fusion , epidemiological modeling , and computational psychiatry .

• Substance misuse prevention
• Polysubstance use
• Alcohol epidemiology
• +7 more

Dr. Gary C.K. Chan is an NHMRC Emerging Leadership Fellow at the National Centre for Youth Substance Use Research within the School of Psychology at the University of Queensland. As a statistical advisor, he provides methodological guidance to academic staff and research higher degree students. His collaborative work spans major international research institutions including the University of Washington, Murdoch Children's Research Institute, University of Melbourne, and University College London, with significant policy impact through consultation with the United Nations Office of Drugs and Crime. Dr. Chan's principal research focuses on substance misuse prevention and advanced statistical methods for longitudinal analysis. His work examines polysubstance use patterns (particularly alcohol, tobacco, and cannabis) among adolescent populations, urban-rural disparities in substance use, and the epidemiology of various substances. He applies sophisticated statistical modeling to understand complex relationships between substance use, mental health, and sociodemographic factors, with particular attention to methodological innovations in addiction research. Dr. Chan's prolific publication record demonstrates a strong focus on contemporary substance use issues, particularly cannabis and vaping trends among youth. His research employs diverse methodologies including longitudinal analysis, systematic reviews, and wastewater-based epidemiology. There's a clear emphasis on policy-relevant research that examines the impact of regulatory changes on substance use patterns, with significant contributions to understanding cannabis use for medicinal purposes and the relationship between social media exposure and substance use behaviors. Scientific Awards: NHMRC Emerging Leadership Fellowship As a statistical advisor at the School of Psychology, Dr. Chan provides methodological support to academic staff and research higher degree students. Since 2016, he has conducted advanced statistical workshops on R programming and multilevel modeling. His research is supported through the NHMRC fellowship and numerous collaborations with major national and international institutes that facilitate large-scale epidemiological studies and policy-relevant analyses. Dr. Chan is affiliated with the National Centre for Youth Substance Use Research at the University of Queensland. His collaborative network spans multiple research teams across continents, enabling comprehensive investigations of substance use patterns and their determinants in diverse populations and settings.

Chadi CalargeView profile

Professor

• Child and Adolescent Psychiatry
• Developmental Pediatrics
• Psychopharmacology
• +6 more

Chadi Calarge, M.D. is a Professor at Baylor College of Medicine and leads the Calarge Lab affiliated with Texas Children’s Hospital and the Meyer Center for Developmental Pediatrics and Autism . His research focuses on the biological basis of mental illness in children and adolescents , particularly examining interactions between mental health and physical outcomes, such as growth patterns, bone health, metabolic changes, and gut-brain axis dynamics. Research Themes : Psychiatric medication effects on growth hormone signaling and longitudinal growth Role of iron deficiency and gut permeability in internalizing disorders Genetic moderators of antipsychotic and SSRI side effects Microbiome and inflammatory markers in adolescent depression Metformin as an adjunct for antipsychotic-induced metabolic issues Key Publications (2015-2024) span psychopharmacology , developmental neuroscience , and pediatric psychiatry , with recurring themes of growth inhibition from SSRIs and antipsychotics iron deficiency as a biomarker in psychiatric disorders microbiome alterations linked to mental health genetic risk factors for medication side effects metabolic monitoring standards in youth psychiatric care

Thomas V. CaprioView profile

Professor

• Geriatrics
• Palliative Care
• Aging
• +5 more

Dr. Thomas V. Caprio is a Professor at the University of Rochester Medical Center across multiple departments including Medicine (Geriatrics/Aging) , Dentistry , Psychiatry , Public Health Sciences , and SON Faculty . He serves as the Chief Medical Officer for UR Medicine Home Care and the Hospice Medical Director . A national leader in geriatrics and palliative care education, he directs the Finger Lakes Geriatric Education Center and has transformed age-friendly healthcare systems through workforce development and policy innovation. Key Research Areas: Aging and Geriatric Care End-of-Life Care Home Health Services Dementia and Caregiver Support Health Disparities Deprescribing and Medication Safety Scientific Awards & Recognitions: 2023 Faculty Academic Mentoring Award 2023 Walter M. Beatty Jr. Distinguished Membership Award 2023 Fellow of the Gerontological Society of America 2017 Fellow of the American Academy of Hospice and Palliative Medicine 2015 Fellow of the American Geriatrics Society 2013 Dean's Teaching Fellowship His publications focus on optimizing care transitions, reducing hospitalizations in nursing homes, improving oral health for dementia patients, and advancing age-friendly clinical practices. Current work emphasizes system-level transformation for age-friendly care, addressing health equity, and enhancing quality of life for older adults and their caregivers.

• Preventative Medicine
• Mental Health
• Mindfulness Interventions
• +3 more

Julieta Galante is a full-time researcher at the University of Cambridge, affiliated with the Department of Engineering and Cambridge Public Health. Her work focuses on preventative medicine, mental health, and the application of mindfulness interventions. Holding a PhD from Cardiff University, she leads the evaluation of mindfulness courses for university students and explores the integration of machine learning into public health strategies. Galante's research spans randomized trials, systematic reviews, and economic evaluations, addressing stress reduction, dementia caregiver support, and digital health engagement. Primary Affiliation: University of Cambridge, Department of Engineering Research Pillars: Mindfulness, Preventative Medicine, Mental Health Methodologies: RCTs, Meta-Analyses, Cohort Studies Her recent publications highlight dose-response effects of mindfulness, public health ethics, and population-level meditation trends. She collaborates on global health initiatives and develops tools like the Inventory of Meditation Experiences (IME) to assess intervention impacts.

Tianyue RuanView profile

Assistant Professor

• Banking
• Financial Stability
• Household Finance
• +3 more

Tianyue Ruan is an Assistant Professor in the Department of Finance at NUS Business School , Singapore. Her research focuses on banking , financial stability , and household finance . Education: PhD in Finance, New York University Stern School of Business (2020) Bachelor's in Economics and Finance, Peking University (2015) Her recent publications span topics like racial disparities in consumer credit ( Management Science ), digital payments' macroeconomic effects ( Review of Financial Studies ), and regulatory impacts on bank fragility. Current projects examine retirement support programs and financial education interventions. She contributes to academic community through: Co-editing at Journal of Corporate Finance Pre-doc fellow recruitment at NUS PhD program mentorship Her methodological work includes: Stata code repositories for empirical research LaTeX table templates for comparative financial analysis

• Metabolic Health
• Skeletal Muscle Physiology
• Alcohol Misuse
• +5 more

Danielle Levitt, PhD, CSCS*D, serves as an Assistant Professor in the Department of Kinesiology & Sport Management at Texas Tech University and is actively affiliated with the Institute for One Health Innovation. Her research program focuses on metabolic health, investigating how lifestyle factors contribute to dysfunction in health and disease while developing targeted intervention strategies to improve clinical outcomes. Dr. Levitt's core research interests include: Skeletal muscle physiology and bioenergetics Alcohol misuse and its metabolic consequences Glycemic control mechanisms Inter-organ crosstalk in disease states Cardiometabolic risk in vulnerable populations (e.g., people living with HIV, first responders) Exercise physiology interventions Analysis of her recent publications reveals dominant themes in alcohol-pathogen interactions, skeletal muscle regeneration under metabolic stress, and cardiometabolic risk modulation. Her work frequently employs SIV-infected macaque models to study HIV-alcohol comorbidities, explores mTOR signaling pathways in muscle adaptation, and investigates dietary impacts on viral pathogenesis including SARS-CoV-2 susceptibility. Methodologically, she integrates molecular biology, exercise physiology, and epidemiological approaches across diverse populations. No scientific awards were mentioned in the provided documentation. Information regarding Dr. Levitt's graduate student advising, grant funding history, or specific laboratory resources was not included in the source materials. Her research appears to operate through collaborative frameworks within the Institute for One Health Innovation. Dr. Levitt maintains active research operations at Texas Tech University's Institute for One Health Innovation, where she contributes to interdisciplinary initiatives addressing complex health challenges at the human-animal-environment interface through metabolic and physiological research.