Previous Summer Internship Projects

Summer 2023

Project Intern  School PI Quantitative mentors
Single cell transcriptomic analysis of broadly neutralizing B cells in humans Mohammad Samsul Alam NCSU Kevin Wiehe Lynn Lin
Predicting FcR function from antibody glycosylation profiles Ellie Anderson DUKE Daniel Schuster Lynn Lin
HIV disclosure across social network ties of adolescents with HIV in Cape Town, South Africa Mark Austin NCSU Marta Mulawa Ricahrd Barfield
Determinants associated with retention and re-engagement in HIV pre-exposure prophylaxis (PrEP) care at Duke and Lincoln Health Center Evan Chenault DUKE Naseem Alavian Tina Davenport
Development of a predictive model (and scoring system) for Tm antigenemia to make screening program more efficient/cost effective using a prospective Tm antigen screening cohort N=500 Jose Singer-Freeman NCSU Thuy Le Lynn Lin
Deep learning to explore the effect of cannabis use in people with HIV based on connectomic features of multimodal MRI brain images Xin Gai DUKE Christina Meade Anru Zhang
Mathematical modeling of binding kinetics for a mixture of monoclonal HIV-1 antibodies to a heterogeneous bivalent epitope Hui Huang DUKE Moses Sekaran Janice McCarthy
Optimal selection of antibody combinations Jinting (Justin) Liu DUKE Guido Ferrari Janice McCarthy
Associations between human antibody/FcR genetic variation and vaccine-elicited immune responses Song Young Oh DUKE Justin Pollara Cliburn Chan
Parameter selection and model analysis of a non-autonomous ordinary differential equation model of antibody neutralization in acute HIV infection Xin Tan DUKE   Janice McCarthy
Exploring relationship between gene expression and TCR sequence similarities using single-cell RNA- and TCR-seq data from HIV and other diseases Hao Wang DUKE   Jason Ji
Metabolic perturbations during acute and chronic SIV infection in rhesus macaques Peng Wu DUKE Keith Reeves Pixu Shi
Comparative single cell analysis of brain tissue in wild type and osteopontin KO mice as a model for cryptococcal fungal  infection during immune reconstitution inflammatory syndrome (IRIS) Jae Yong NCSU Mari Shinohara Josh Granek

Summer 2022

Project Intern School PI Quantitative mentors
Dimension reduction of longitudinal microbiome data associated with HIV infection Mohammad Samsul Alam NCSU Pixu Shi Pixu Shi, Josh Granek
Patient-level determinants associated with re-engagement in HIV care at Duke Andrea Carmack UNC Lance Okeke Tina Davenport, Pixu Shi
High-dimensional flow cytometry bioinformatics Jingya Cheng Duke Cliburn Chan Cliburn Chan
Mathematical modeling of acute HIV-1 infection and the effect of gp41-antibody on viral infectivity in RV217 cohort Yuqing Dai Duke Georgia Tomaras Janice McCarthy, Cliburn Chan
Mapping flow cytometry data across EQAPOL laboratories using the Minimized Aggregated Wasserstein (MAW) distance Dana  Droz  NCSU Guido Ferrari Lynn Lin, Cliburn Chan
Development of a prediction model and a scoring algorithm for Talaromyces antigen positivity in patients with advanced HIV disease Orlando Ferrer Duke Thuy Le Lynn Lin, Tina Davenport
Healthcare utilization among participants of the EXTRA-CVD trial: Does having a nurse coordinating managing CVD risk decrease overall care utilization in persons living with HIV Mahmoud Harding NCSU Lance Okeke Tina Davenport, Pixu Shi
To design and test in vitro the best combinations of monoclonal antibodies that can be used to prevent and/or treat HIV-1 infection. Shabaz Khan Duke Guido Ferrari Janice McCarthy, Cliburn Chan
Analysis of serial quantitative Talaromyces antigen in the IVAP trial to determine whether antigen clearance dynamics is correlated with mortality and disease relapse Grace  Kovic  Duke Thuy Le Tina Davenport, Pixu Shi
Modeling multivalent and polyclonal antibody kinetics in multiplexed assays of antibody binding kinetics Kyle Nguyen NCSU Moses Sekaran Janice McCarthy, Lynn Lin
Interpretable dimension reduction for pseudo-time trajectories Yiren Shao Duke Cliburn Chan Cliburn Chan, Janice McCarthy
Longitudinal changes in neurocognitive performance related to HIV disease and drug use intensity Runshi Tang University of Wisconsin Christina Meade Anru Zhang, Cliburn Chan
Optimizing the design of HIV testing policies using stated preferences: Can machine learning yield better predictions from Discrete Choice Experiments than traditional inferential statistics? Tengjie Tang Duke Nathan Thielman Ethan, Cliburn Chan
Mathematical modeling of antigen binding parameters and strength of B cell activation Eric Zhang UNC Munir Alam Cliburn Chan, Janice McCarthy
To determine and compare underlying reasons for hypertension and hyperlipidemia medication nonadherence for PLWH; identify corelates of blood pressure control for PLWH Tiya Zhang Duke Charles Muiruri Lynn Lin, Tina Davenport

Summer 2021

Project Intern School PI Quantitative mentors
Vaccine Responses in HIV-Exposed, Uninfected and HIV-Unexposed, Uninfected Infants in Botswana Noel Allen Duke Matt Kelly Matt Kelly
Analysis of serial quantitative Talaromyces antigen in the IVAP trial to determine whether antigen clearance dynamics is correlated with treatment outcomes Danielle Baldwin NCSU Thuy Le Tina Davenport
Modeling the cellular and humoral determinants of time to rebound after treatment interruption in infant Rhesus macaques Ellie Mainou Penn State Genevieve Fouda Amouou Janice McCarthy
Modeling viral and immune determinants of vertical CMV transmission in HIV-infected CMV-seropositive mothers Yishu Gong Duke Sallie Permar Cliburn Chan
Immunologic and virologic factors that predict vertical CMV transmission in seronegative rhesus monkeys Julian Sass NCSU Sallie Permar Janice McCarthy
Analysis of IgG pharmacokinetics and pharmacodynamics (PK/PD) in a passive immunization challenge study of infant Rhesus macaques Yvonne Niyonzima  NCSU Genevieve Fouda Amouou Pixu Shi
Modeling and analysis of Fc-FcR interactions and its role in vaccine immunogenicity and efficacy Shakthi Unnithan NCSU Justin Pollara Josh Granek
Bioinformatics and statistical analysis of the polyfunctional anti-viral vaccine-induced responses Pu Zeng Duke Guido Ferrari Cliburn Chan
Bayesian reanalysis of latent tuberculosis treatment trials with decision analysis to optimize treatment decisions Saahithi Rao Duke Jason Stout Pixu Shi
Machine learning for structural and functional MRI connectome data in patients with HIV Chen An Duke Christina Meade Anru Zhang
Modeling multivalent and polyclonal antibody kinetics in multiplexed assays of antibody binding kinetics Kyle Nguyen NCSU Moses Sekaran Janice McCarthy
Bioinformatics analysis of high-dimensional flow cytometry data from blood and CSF of people with HIV who use marijuana or cocaine Zhicheng Guo  Duke David Murdoch Cliburn Chan
A highly conserved gut microbial environment is associated with increased risk of postnatal HIV infection in infants Danting Jiang Duke Neil Surana Neil Surana
Discovery of hidden low-rank structure from high-dimensional tensor data from cryo-EM images Chenyin Gao NCSU Priyamvada Acharya Anru Zhang

Summer 2020

Project Intern School PI Quantitative mentors
Examining Structural Barriers to Optimal HIV Care Engagement: Is Neighborhood of Residence a Risk Factor for HIV Patient Atrition? Felipe Montano-Campos Duke Lance Okeke, Jason Stout Jason Stout
Developing a Predictive Model for HIV Clinical Care Disengagement at Duke Monica Borges UNC Lance Okeke Cliburn Chan
Persistent Elevation of Liver Transaminases Following HCV Virologic Cure Among HCV Mono-infected and HIV/HCV Co-infected Adults Hayley Nemeth Duke Susanna Naggie Tina Davenport
Defining the role of immune heterogeneity and preexisting CMV immunity in protective HIV-1 vaccination through systems vaccinology Hira Anees Awan Duke Georgia Tomaras (Cesar Lopez Angel) Janice McCarthy
Deep learning to predict HIV-associated neurocognitive impairment based on graph features of multimodal MRI brain images Yvonne Niyonzima NCSU Christina Meade (Yunan Xu) Cliburn Chan, John Pearson
Impact of Maternal HIV Infection on the Respiratory Microbiome of Infants Yahe Yu NCSU Matt Kelly Josh Granek
Mathematical modeling to predict time to HIV rebound from viral reservoir size after treatment interruption in postnatally infected infant rhesus macaques Safa Janajra Duke Sallie Permar (Ria Goswami) Cliburn Chan 
Mathematical and statistical modeling of HIV rebound dynamics following treatment interruption in infant macaques Fan Bu Duke Sallie Permar Cliburn Chan
Disparities in viral load and CD4 count trends among HIV infected children in South Carolina Courtney Jacks NCCU Rishi Chakraborty Rishi Chakraborty
Modeling Pharmacokinetics and Pharmacodynamics of Topical Anti-HIV Products and Translation of this Framework into Rational Product Design Machao Deng Duke David Katz Cliburn Chan
Validation of biomarkers for estimating HIV-1 incidence Dena Ho Duke Georgia Tomaras (Rachel Spreng) Janice McCarthy
Mathematical and statistical modeling of HIV rebound dynamics following treatment interruption in infant macaques Julian Sass NCSU Sallie Permar Cliburn Chan
Mathematical modeling to predict time to HIV rebound from viral reservoir size after treatment interruption in postnatally infected infant rhesus macaques Ellie Mainou Penn St Sallie Permar (Ria Goswami) Cliburn Chan
Modeling vertical transmission of CMV Yishu Gong Duke Salie Permar Cliburn Chan

Summer 2019

Project Intern School PI Quantitative mentors
Longitudinal data analysis of a group-based mental health intervention for adolescents living with HIV in Tanzania Ashley Zhao Duke Dorothy Dow (John Gallis) Tuner/Davenport
Mathematical modeling of HIV rebound dynamics following treatment interruption in infant macaques Julian Sass NCSU Sallie Permar (Ria Goswami) McCarthy/Chan
Structural basis for broad and potent HIV-1 neutralization Shana M. McDowell NCCU Priyamvada Acharya McCarthy/Granek
Development of a prognostic scoring system for HIV-associated Talaromycosis Jonathan K. Klus Duke Thuy Le  Davenport/Chan
Estimating diversity in the naïve B cell repertoire Yiwei Gong Duke Kevin Wiehe Granek/Chan
Multidimensional immune profiling in HIV-associated neuroinflammation Yishu Gong Duke David Murdoch Chan/Granek
Modeling the cost-effectiveness of a crowdsourced intervention to prevent HIV transmission among Chinese gay men Xuan Liu NCSU Tucker, Joseph D Kate Mitchell
Individualized prediction of HIV-associated neurocognitive impairment using machine learning techniques  Yizi Lin Duke Christina Meade Pearson/Chan
Applying cutting-edge methods to generalize findings from randomized clinical trials to a target population in routine HIV care Steven Xu NCSU Brian Pence, Katie Mollan, Angie Bengtson Stephen R Cole, Issa Dahabreh
A highly conserved gut microbial environment is associated with increased risk of postnatal HIV infection in infants LaTricha Parks St. Augustine Sallie Permar Chan/Granek