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CFAR–MISM Mini-Symposium: Bridging HIV Research, Modeling & Artificial Intelligence

Speaker

Harry Hochheiser, PhD; Michael Hudgens, PhD; Lance Okeke, MD, PPH; Nrupen Bhavsar, PhD; Naseem Alavian, PD, MPH

Abstract: Since 2004, the Models of Infectious Disease Agent Study (MIDAS) has been an NIGMS-supported community of researchers focused on the development and evaluation of mathematical techniques for modeling outbreaks of infectious diseases. The MIDAS Coordination Center (midasnetwork.us) was established in 2019, when MIDAS transitioned from a small group of researchers funded through specific programs to a community open to anyone working in the field. The Center's mission is "to advance science to improve global preparedness and response against infectious disease threats through research, training, promotion, and service." Throughout the height of the COVID-19 emergency and since, the MIDAS Coordination Center has curated data, supported community efforts such as the COVID-19 Scenario Modeling Hub, coordinated working groups, hosted events including a webinar and annual meetings, and conducted research into the application of data science principles to infectious disease modeling. Updates on these and related efforts will be provided, along with comments on challenges associated with research community coordination. AI in HIV Panel: Naseem Alavian, MD, MPH - Assistant Professor of Medicine; Lance Okeke, MD, MPH - Associate Professor of Medicine; Nrupen Bhavsar, PhD - Associate Professor in Surgery; Moderator: Taylor Krajewski, PhD - Assistant Professor of Biostatistics & Bioinformatics; Michael Hudgens, PhD Title: Counting viruses: Estimating the size of the latent HIV reservoir Abstract: We will discuss statistical methods for quantifying the latent HIV reservoir in anti-retroviral therapy suppressed individuals. In particular, we will focus on the quantitative virus outgrowth assay (QVOA), a type of serial limiting dilution assay which is used to estimate the number of infectious units per million (IUPM) resting CD4+ T cells. A simple, free publicly available R software package and web tool to analyze serial limiting dilution assay data will be described. We will also consider methods for quantifying the size of the reservoir when additional viral RNA sequence data is available. -- Location: Hock Plaza - Room #214 (CRTP Classroom) Zoom: https://duke.zoom.us/j/98485317684 Meeting ID: 984 8531 7684 -- This symposium is organized by the Duke University Center for AIDS Research (CFAR), an NIH‑funded program (5P30 AI064518) and the Center of Multiscale Immune Systems Modeling (MISM), funded by NIAID/NIH (U54AI191253).


Bios:
Harry Hochheiser, PhD, is Professor in the Department of Biomedical Informatics at the University of Pittsburgh's School of Medicine. He holds appointments in Pitt's Intelligent Systems Program, Clinical and Translational Science Institute, and UPMC Cancer Center. He is also director of Pitt's Biomedical Informatics and Artificial Intelligence Training Program. Dr. Hochheiser's research program focuses on making clinical and public health information more useful and comprehensible through research projects funded by the NCI, NINDS, and NIGMS.

Michael Hudgens, PhD, is a Professor and Chair of the Department of Biostatistics at UNC-Chapel Hill. He also serves as the Director of the Biostatistics Core of the UNC Center for AIDS Research. He has experience in collaborative research and in the development of statistical methodologies related to studies of infectious diseases. Professor Hudgens has co-authored more than 300 peer-reviewed papers in statistical journals such as Biometrics, Biometrika, JASA, and JRSS-B, as well as biomedical journals such as The Lancet, Nature, and The New England Journal of Medicine. He currently serves as an Associate Editor for Biometrics and JASA. He is an Elected Fellow of the American Statistical Association and has taught graduate-level biostatistics courses at UNC for 20 years.

Naseem Alavian, MD, MPH, is an Assistant Professor of Medicine in the Division of Infectious Diseases at Duke University School of Medicine. She is a physician trained in internal medicine, pediatrics, and hospital medicine, with over a decade of clinical experience across inpatient and outpatient settings. Her work in academic medicine spans care delivery across the lifespan, providing insight into real-world clinical data, complex patient populations, and implementation challenges relevant to HIV research. Dr. Alavian practices at Duke University Hospital and Duke Children’s Hospital.

Lance Okeke, MD, MPH, is an Associate Professor of Medicine and Population Health Sciences in the Duke Division of Infectious Diseases. He is an NIH-funded HIV health services researcher whose work focuses on optimizing HIV care delivery, addressing cardiovascular comorbidities among people with HIV, and using healthcare informatics to guide HIV prevention strategies such as PrEP. His research bridges clinical medicine, population health, and data-driven approaches, with longstanding collaborations in the U.S. South and East Africa. Dr. Okeke also serves in leadership roles within the Duke Infectious Diseases Fellowship Program and the Duke Center for AIDS Research.

Nrupen Bhavsar, PhD, is an Associate Professor of Surgery and Biostatistics and Bioinformatics at Duke University School of Medicine and directs the Bhavsar Laboratory for epidemiology and health data science. He is a quantitative epidemiologist whose research leverages electronic health records, cohort studies, and other real-world data to study chronic disease outcomes and health disparities. His work integrates informatics, biostatistics, and epidemiology, with growing application to questions at the intersection of social determinants of health and clinical outcomes. Dr. Bhavsar holds a PhD from Johns Hopkins University.

Taylor Krajewski, PhD, is an Assistant Professor of Biostatistics and Bioinformatics and Population Health Sciences at Duke University School of Medicine and a member of the Duke Clinical Research Institute. Her research focuses on statistical modeling and methodological development for clinical and population health studies, with applications in HIV prevention, substance use, stroke outcomes, and infectious disease epidemiology. She leads and collaborates on federally funded projects examining interventions for marginalized and carceral populations, incorporating advanced analytic methods to improve inference and decision-making. Dr. Krajewski earned her PhD from the University of North Carolina at Chapel Hill.

Schedule:  

2:00–3:00 PMHarry Hochheiser, PhD (University of Pittsburgh)
The Models of Infectious Disease Agent Study (MIDAS) Coordination Center: Supporting a community of infectious disease modeling researchers
3:00–4:00 PM   AI for HIV Panel Discussion
Panelists: Naseem Alavian, MD, MPH; Lance Okeke, MD, MPH; Nrupen Bhavsar, PhD
Moderator: Taylor Krajewski, PhD
4:00–5:00 PM    Michael Hudgens, PhD (UNC–Chapel Hill)
Counting Viruses: Estimating the Size of the Latent HIV Reservoir
5:00pmNetworking social

 

Meeting Location: Hock Plaza - Room #214 (CRTP Classroom) 
Zoom: https://duke.zoom.us/j/98485317684 
Meeting ID: 984 8531 7684


Categories

Conference/Symposium, Immunology, Model Libraries & Repositories, Model Repositories, Modeling, Multiscale Immune Systems Modeling (MISM), Panel/Seminar/Colloquium, Research Groups & Labs