HIV Modelling Tools Professors and Supervisors | ApplySharif

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John RobsonView profile

Academic

Queen Mary University of LondonUnited Kingdom

Dr. John Robson is an Honorary Professor in the Centre for Primary Care at Queen Mary University of London's Wolfson Institute of Population Health. His work focuses on improving disease management in the 2.4M population of North East London through clinical leadership in the Clinical Effectiveness Group (CEG). He previously practiced as a GP in East London and now specializes in health services delivery, digital transformation, and reducing health inequalities. His research emphasizes cardiovascular disease, HIV/hepatitis management, and data-driven healthcare improvement. Key research interests include long-term condition management, equity in primary care, and health data science applications. Notable projects include the QCovid risk score analysis, hepatitis case detection initiatives, and optimizing anticoagulation therapies. He teaches clinical effectiveness modules and supervises GP trainees. Dr. Robson collaborates with the NE London Integrated Care System and local practices, advocating for system-aligned digital tools (e.g., SMS patient contacts, risk stratification) to enhance care. His work emphasizes actionable data, clinician-patient engagement, and learning from outcomes to drive sustainable healthcare improvements.

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Gail GellerView profile

Professor

Johns Hopkins UniversityUnited States

Gail Geller, ScD, MHS, is a Professor at Johns Hopkins University with appointments across multiple schools: the School of Medicine (Department of Medicine), Bloomberg School of Public Health (Departments of Health, Behavior & Society and Health Policy & Management), and Krieger School of Arts & Sciences (Department of Sociology). She also holds an adjunct role at the Center for Medical Humanities and Social Medicine. Her work bridges sociological and ethical dimensions of healthcare, focusing on genetics, infectious disease, and medical education. Dr. Geller earned her BS from Cornell University and both her ScD and MHS from the Johns Hopkins Bloomberg School of Public Health. Her research spans over 30 years, addressing ethical implications of genetic testing in adults and children, and applying genomics to infectious disease contexts. She co-led NIH consortia on cancer genetics and informed consent, and co-directed a Fogarty International Center training program in China, educating geneticists on ethical and cultural dimensions of research. Her current projects include an NIMH-funded study on ethics and HIV surveillance, and the Vision of Hope initiative expanding palliative care to chronically ill children. Key research interests include provider-patient communication under uncertainty, cultural health attitudes, and fostering ethical character in medical education. Key Roles: Co-Principal Investigator, NHGRI CEER Center (2017) Former Co-Director, Fogarty International Training Grant (China) Task Force Co-Chair, Informed Consent for Cancer Susceptibility Testing Grants: NIMH-funded HIV surveillance ethics study NHGRI Center of Excellence in ELSI Research (CEER) Labs/Teams: Berman Institute of Bioethics research teams focusing on ELSI, medical humanities, and global health ethics.

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Tahilin Sanchez KarverView profile

Academic

Johns Hopkins UniversityUnited States

Tahilin Sanchez Karver is an Assistant Research Professor at Johns Hopkins University's Bloomberg School of Public Health, with affiliations to the Center for Qualitative Studies in Health and Medicine and the Center for Global Women’s Health and Gender Equity. She holds a PhD (2021) and MPH (2010) from Johns Hopkins and a BA (2008) from George Washington University. Her research focuses on gender equity, HIV prevention/treatment, and sexual and reproductive health, employing mixed-methods to address stigma and social determinants of health. She has conducted studies in the Dominican Republic, Tanzania, Mexico, and the U.S., working with marginalized populations like female sex workers, Latinx communities, and indigenous women. Key projects include PrEP Navigation for HIV prevention and interventions to reduce stigma in healthcare settings. Dr. Karver has authored over 40 peer-reviewed articles, including work on intersectional stigma measurement, HIV care quality, and long-acting antiretroviral therapies. Her honors include the Doctoral Distinguished Research Award (2019) and Delta Omega Honorary Society induction (2017). She is also a Gordis Teaching Fellow (2018-19). Her current research explores mindfulness-based interventions for mental health among female sex workers, digital health tools for LGBTQ+ youth, and equitable health communication strategies during pandemics. She collaborates internationally on projects addressing structural barriers to healthcare access in vulnerable populations.

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Michelle R. KaufmanView profile

Associate Professor

Johns Hopkins UniversityUnited States

MICHELLE R. KAUFMAN is an Associate Professor at Johns Hopkins University’s Department of Health, Behavior and Society. She holds primary affiliations with the International Health Joint Division, Health Systems Center, and multiple interdisciplinary centers including the Center for Global Digital Health Innovation and the Center for Global Women’s Health and Gender Equity. Her research focuses on technology-driven interventions to reduce health disparities, particularly among vulnerable populations such as LGBTQ communities, adolescents, and women in global health contexts. Education: PhD (2009) and MA (2006) in Social Psychology from the University of Connecticut. She has conducted fieldwork in sub-Saharan Africa, South/Southeast Asia, Latin America, and the U.S., with recent emphasis on AI applications in health equity and gender mainstreaming in health data systems. Research interests span gender, sexuality, HIV/AIDS, substance use, mental health, and youth mentoring. Notable projects include the Fataki campaign against cross-generational sex in Tanzania and formative research for HIV mobile health interventions targeting African American youth. Her work integrates digital tools like mHealth and social media analytics to address health inequities. Key awards include 2024 APA Div. 9 Fellowship, 2023 APA Div. 35 Fellowship, and a Fulbright Research Fellowship (Nepal, 2007-2008). She directs the Gender Equity Unit under the Bloomberg Philanthropies Data for Health Initiative. Publications (selected 15): Focus on mentorship’s role in substance use prevention, AI in health equity, Reddit analysis of Euphoria’s portrayal of substance use, and global health interventions like VMMC programs. Her work bridges behavioral science, technology, and policy to promote health equity worldwide.

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Ankica BabicView profile

Professor

University of BergenNorway

Ankica Babic is a Professor in the Department of Information Science and Media Studies at the University of Bergen, where she conducts research and teaching in medical informatics. Her academic work bridges information science and healthcare, focusing on the development and evaluation of information systems to improve healthcare delivery and patient outcomes. Professor Babic's research centers on Medical Informatics, with specific expertise in developing information systems for healthcare settings. Her work includes web-based systems, databases, and mobile applications designed to gather knowledge from medical data and improve information flow in healthcare systems. She has made significant contributions to areas including intelligent phonocardiography, HIV data reporting systems, mobile applications for chronic disease management, and digital twin technology for personalized healthcare. Her research is characterized by close collaboration with healthcare professionals and medical experts, ensuring practical applicability of her work. Analysis of her recent publications reveals a strong focus on digital innovation in healthcare, particularly in the areas of digital twins for heart care, AI applications in cognitive decline diagnosis, and mobile platforms for patient self-monitoring. Her research shows an evolving trajectory from foundational work in electronic medical records and data management toward more sophisticated applications of artificial intelligence and personalized health technologies. The interdisciplinary nature of her work spans computer science, healthcare delivery, and patient-centered design. Professor Babic has supervised numerous students and collaborated on various application development projects including Cherry (a mobile application for children with cancer), self-reporting tools for bipolar patients, safety reporting applications for postoperative care, and multiple sclerosis management applications. Her teaching portfolio includes courses on information science, data management, and artificial intelligence at both bachelor's and master's levels. Her research group appears to focus on medical informatics with particular strength in mobile health applications, data visualization, and AI applications in cardiology and chronic disease management. The team frequently collaborates with healthcare institutions in Norway and internationally, particularly on projects related to HIV data reporting in Kenya and other low-resource settings.

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Susan KirklandView profile

Research Professor

Dalhousie UniversityCanada

Susan Kirkland, PhD, is a Research Professor and University Research Professor at Dalhousie University's Faculty of Medicine, Department of Community Health and Epidemiology. She leads major initiatives like the Canadian Longitudinal Study on Aging (CLSA) and focuses on chronic diseases, healthy aging, and frailty. Her research integrates social, physical, and genetic factors influencing aging and chronic conditions. Dr. Kirkland holds affiliations with Dalhousie's Centre for Clinical Research and collaborates with institutions like the Northwood Group and AGE-WELL National Centre of Excellence. Education: PhD (University of Toronto), MSc & BSc Honours (University of Waterloo). Her research spans population health, longitudinal cohort studies, and older adults' engagement in technology and healthcare. Awards include Dalhousie's University Research Professorship (2018–2023) and the Decade Club Award (2013). Research emphasizes aging populations, including HIV and aging, cognitive impairment, and technology for aging in place. She leads studies on frailty indices, dementia risk factors, and pandemic impacts on older adults' health. Key contributions include co-editing the Canadian Longitudinal Study on Aging and developing gerontechnology engagement frameworks like OA-INVOLVE. Grants and service roles include membership in the Canadian Institutes of Health Research's Institute of Aging Advisory Board and leadership in interdisciplinary HIV/AIDS research networks. Her work bridges clinical, epidemiological, and public health domains, addressing both individual and systemic factors affecting aging populations. Labs/Teams: Principal investigator for CLSA, Director of the Atlantic Interdisciplinary Research Network for Social and Behavioural Issues in Hepatitis C and HIV/AIDS, and collaborator in the OA-INVOLVE initiative promoting older adult involvement in research.

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Jianhong WuView profile

Professor

York UniversityCanada

Professor Jianhong Wu is a Full Professor and University Distinguished Research Professor at York University's Department of Mathematics and Statistics, holding a York Research Chair in industrial and applied mathematics. He previously served as the NSERC Industrial Research Chair in vaccine mathematics, modeling, and manufacturing (2017–2022) and Canada Research Chair in Industrial and Applied Mathematics (2001–2022). His research focuses on dynamical systems, delay differential equations, neural networks, and disease modeling, with notable contributions to global health through pandemic preparedness strategies. Research Interests: Delay Differential Equations Neural Networks Public Health Modeling Global Health Dynamics His work since the 2003 SARS outbreak has involved leading national teams to develop mathematical tools for addressing emerging infectious diseases like influenza, antimicrobial resistance, and monkeypox. He is a Fellow of the Royal Society of Canada and Canadian Academy of Health Sciences. Awards: Fellow of the Royal Society of Canada Fellow of the Canadian Academy of Health Sciences His recent publications emphasize pandemic dynamics, vaccine strategies, and interdisciplinary approaches to public health challenges, often leveraging machine learning and real-time data analytics.

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Frank DillonView profile

Professor

Arizona State UniversityUnited States

Frank Dillon is a Professor at the CISA - School of Counseling and Counseling Psychology at Arizona State University. His research focuses on marginalized populations, particularly LGBTQIA+ communities and recent Latino/Latina immigrants. He examines intersections between acculturation, mental health, substance use, and healthcare access. His work integrates social ecological frameworks to address health disparities and advocate for culturally competent practices in counseling and healthcare. Key research areas include sexual identity development among sexual minority men, PrEP adherence barriers, and the impact of cultural beliefs like machismo and marianismo on health outcomes. His studies often involve longitudinal designs and community-based methodologies to understand systemic inequities. Recent work has expanded into digital mental health interventions (e.g., AFFIRM online) targeting LGBTQQA+ youth. Publications consistently highlight structural determinants of health, such as neighborhood collective efficacy and religious coping mechanisms. He advocates for queer-inclusive curricula in health professions and has developed assessment tools like the Sexual Minority Affirmative Practice Scale to measure clinical competency. Though no awards are listed, his extensive publication record reflects sustained contributions to health equity research.

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John BartonView profile

Associate Professor

University of PittsburghUnited States

John Barton, PhD, is an Associate Professor in the Department of Computational and Systems Biology at the University of Pittsburgh School of Medicine. His research integrates statistical physics , machine learning , and population genetics to study viral evolution and immunity, with a focus on HIV and SARS-CoV-2. His lab develops computational tools like popDMS for analyzing viral fitness landscapes and has contributed to understanding mechanisms of viral escape from immune responses and vaccine design strategies. Education: PhD in Physics from Rutgers University Research Interests: Barton’s work addresses fundamental questions about viral adaptation, clonal heterogeneity in viral reservoirs, and the interplay between chronic infections and evolutionary dynamics. He applies advanced mathematical frameworks such as Ising/Potts models and covariance factorization to decode genetic data from large-scale surveillance efforts. Key Contributions: Recent studies include modeling SARS-CoV-2 transmission via genomic data, analyzing HIV evolutionary trajectories in humans and macaques, and developing methods to infer mutation effects from deep mutational scans. His lab also explores innate immune adaptation and the design of broadly neutralizing antibody-based therapies. Awards & Recognition: No specific awards listed, though his work has been supported by NIH-funded initiatives in computational virology. Labs/Teams: Leads the Barton Lab, part of the School of Medicine’s Computational and Systems Biology program, collaborating with global networks in infectious disease research and public health.

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M. Barton LawsView profile

Adjunct Associate Professor

Brown UniversityUnited States

M. Barton Laws is an Adjunct Associate Professor in the Department of Health Services, Policy and Practice at Brown University's School of Public Health. His research focuses on patient-provider communication dynamics, particularly in HIV care, and the sociological aspects of chronic illness management. He holds a PhD from Brandeis University (1997) and has extensive experience in qualitative and quantitative research methodologies. Key research areas include the Generalized Medical Interaction Analysis System (GMIAS), which evaluates clinical communication, and the Comprehensive Assessment of Clinical Encounters System (CASES). He has led/co-investigated numerous NIH-funded studies, including interventions to improve motivational interviewing skills in HIV providers and analyses of adherence-related dialogue in healthcare settings. Laws has collaborated with institutions like Johns Hopkins University and the CDC, publishing over 40 peer-reviewed articles. His work bridges communication theory and clinical practice, emphasizing patient-centered care and reducing health disparities. Teaching responsibilities include public health design and intervention evaluation courses. Current projects explore explanatory models of illness among HIV patients and the impact of near-highway pollution on cardiovascular health through community participatory research. He maintains affiliations with the Academy of Communication in Healthcare and Academy Health.

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Xing QiuView profile

Professor

University of RochesterUnited States

Xing Qiu, PhD, is a Professor in the Department of Biostatistics and Computational Biology at the University of Rochester Medical Center (URMC), School of Medicine and Dentistry (SMD). He holds leadership roles in the Respiratory Pathogens Research Center (RPRC) and Center for AIDS Research (CFAR). His expertise spans biostatistics, computational biology, and big data analytics, with a focus on omics data integration and medical imaging analysis. Education: PhD in Mathematics (2004, University of Rochester), MA in Mathematics (2000, UR), ME in Civil Engineering (1996, South China University of Technology). His postdoctoral training was in Biostatistics at UR (2004–2007). Research Interests: Developing statistical methods for omics data (gene/protein expression, microbiota), medical imaging (MRI/DTI), and network analysis. Key projects include multi-omics integration pipelines, diffusion tensor imaging analysis, and HIV-related neuroimaging studies. Collaborations focus on infectious diseases (RSV, influenza, HIV) and environmental health. Awards: 9 recognized awards including the University Research Award (2022–2023), Best Mentor Award (2017), and grants supporting computational infrastructure. His work bridges statistical theory and translational research, with over 100 peer-reviewed publications. Grants & Collaborations: Active in 20+ NIH-funded projects. Serves as Core Leader for the RPRC Data Management team and Unit Leader for CFAR’s Bioinformatics core. Research teams include interdisciplinary groups in immunology, neurology, and environmental health. Labs/Teams: Leads URMC’s biostatistics computational biology unit, collaborating with clinical and basic science researchers. His lab develops open-source tools like MatchMixeR and Super-delta for omics data analysis.

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Juilee ThakarView profile

Associate Professor

University of RochesterUnited States

Juilee Thakar is an Associate Professor at the University of Rochester School of Medicine and Dentistry (SMD), holding joint appointments in the Department of Microbiology and Immunology and the Department of Biomedical Genetics. Her research focuses on systems biology approaches to study immune responses, integrating multi-omics data to predict outcomes of infections and vaccinations. She earned her PhD in Bioinformatics from the University of Würzburg, Germany, and has held postdoctoral positions at Yale School of Medicine and Pennsylvania State University. Dr. Thakar has received awards including the NBEM Award and PhRMA Informatics Award, and her work spans computational modeling, HIV vaccine research, and environmental exposure analysis. She leads the Thakar Lab, which develops tools like Boolean network models (BONITA) and WikiNetworks for pathway analysis.

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Charisse FarrView profile

Senior Lecturer

Queensland University of TechnologyAustralia

Dr Charisse Farr is a Senior Lecturer in Secondary Mathematics Education at Queensland University of Technology (QUT), based in the School of Education within the Faculty of Creative Industries, Education & Social Justice. Her research focuses on Mathematics Education, Teacher Education, and STEM, with expertise in Bayesian Networks and Applied Statistics. She holds a PhD and Bachelor of Applied Science (Mathematics) from QUT. Her work spans educational technologies, Bayesian network applications in airport wayfinding, disease modeling (e.g., HIV/AIDS, chlamydial infection), and teacher training. Key projects include developing student-centered frameworks for community engagement and exploring factors affecting PhD completion. She has received the 2014 QUT Vice Chancellor’s Performance Award for Teaching and Learning. Teaching areas include secondary mathematics pedagogy, STEM education, calculus, and statistics. She collaborates with industry and academia on complex systems research, such as airport navigation and public health interventions. Professional memberships include the Australian Teacher Education Association and the Statistical Society of Australia. Research Highlights: Combining expert opinions in Bayesian networks, HIV epidemiology modeling, and adaptive learning technologies. Teaching Contributions: Courses in education, mathematics, and STEM across undergraduate programs. Supervision: Current projects focus on digital inclusion among refugee students and TPACK integration in Maldives education systems.

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Yanxun XuView profile

Associate Professor

Johns Hopkins UniversityUnited States

Yanxun Xu is an Associate Professor of Applied Mathematics and Statistics at the Whiting School of Engineering , Johns Hopkins University, and an Adjunct Assistant Professor in the Division of Biostatistics and Bioinformatics at the Sidney Kimmel Comprehensive Cancer Center. She is also a member of the Data Science and Artificial Intelligence Institute . Her research focuses on developing Bayesian statistical methods and machine learning algorithms to address challenges in heterogeneous, large-scale datasets, particularly in clinical trials, electronic health records, cancer genomics, and HIV/AIDS studies. Key areas of expertise include nonparametric Bayes , reinforcement learning , and dynamic treatment regimes . Her work emphasizes precision medicine applications, such as optimizing antiretroviral therapies for HIV patients and analyzing cognitive outcomes in clinical trials. Funding sources include the National Science Foundation (NSF) , National Institutes of Health (NIH) , and industry partners like AstraZeneca. Xu has published over 80 peer-reviewed articles and received prestigious awards, including the 2016 Mitchell Prize from the International Society for Bayesian Analysis. Her research bridges statistical theory with real-world healthcare applications, addressing topics like hospital-level variations in COVID-19 treatment and the impact of inflammation biomarkers on neurocognitive functions in psychosis. PhD in Biostatistics (implied by academic rank) Recipient of JHU’s Center for AIDS Research Faculty Development Award Developed open-source software tools for causal inference and longitudinal data analysis

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Kathleen Raquel PageView profile

Professor

Johns Hopkins UniversityUnited States

Kathleen Page is a Professor of Medicine at Johns Hopkins University School of Medicine with clinical expertise in infectious diseases, HIV/AIDS, and substance use disorder. She completed her undergraduate degree at Johns Hopkins, earned her MD from Washington University School of Medicine, and trained at the Hospital of the University of Pennsylvania and Johns Hopkins. She joined the faculty in 2006. Page's work focuses on improving healthcare access for underserved communities, including migrants and individuals with HIV or substance use disorders. Her research spans migrant health, mobile health interventions, health disparities, and implementation science. As principal investigator of multiple grants, she develops integrated care models and digital health tools for HIV management. She co-directs the Center for Community and Global Health in Infectious Diseases (CCGHE-ID), which promotes health equity through research, training, and service initiatives in infectious disease management locally and internationally.

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