Johns Hopkins Univ.

Faculty

David Dowdy[Email]

David Dowdy is an associate professor of Epidemiology at Johns Hopkins. His primary research interests include the epidemiology, dynamics, implementation, and economics of TB diagnosis and treatment. David finished his MD/PhD at Hopkins and a residency in internal medicine at UCSF before returning to the faculty at Hopkins in 2011. He is a member of the steering committee of the Gates Foundation's TB Modeling and Analysis Consortium (TB-MAC), sees patients in internal medicine at East Baltimore Medical Center (an urban outpatient clinic), and is the director of the Translational Epidemiology Initiative at Johns Hopkins. David has particular interests in mentoring a new generation of scientists with an interest in TB; seeing the outdoors; playing tennis; and spending time with his 13-year-old daughter, Chesapeake.

Maunank Shah[Email]

Maunank Shah is an associate professor in the Division of Infectious Diseases, Center for TB Research at Johns Hopkins University. Maunank previously completed his MD at UCSF and residency in internal medicine at Emory University, where he served as Chief Resident at Grady Memorial Hospital. He subsequently completed an Infectious Disease fellowship at JHH, and PhD in Clinical Investigation at JH School of Public Health and joined the faculty in 2010. He remains active clinically and serves as an attending physician on the HIV/ID service at Johns Hopkins Hospital, and is Medical Director for the Baltimore City Health Dept Tuberculosis Program. He has a particular interest in implementation research, including evaluating the cost-effectiveness and population impact of novel TB diagnostic and case-finding strategies. To this end he is increasingly engaged in TB modeling, and has received an NIH K23 grant to study emerging TB diagnostic tests and strategies in resource-limited settings. He has additional interests in medical education and mentors public health and medical students and serves as Co-Director for the microbiology and Infectious Disease block at Johns Hopkins Medical School.

Thomas Louis[Email]

Thomas A. Louis, PhD (Mathematical Statistics, Columbia University): Professor of Biostatistics, Johns Hopkins Bloomberg School of Public Health. From 2013-2015, also Associate Director for Research & Methodology/Chief Scientist, U.S. Census Bureau. Formerly, Assistant Professor of Mathematics at Boston University; Associate Professor of Biostatistics at the Harvard SPH; Professor and Head of Biostatistics, University of Minnesota SPH; Senior Statistical Scientist at Rand. Research includes Bayesian methods; clinical and field studies; health services research, environmental risk assessment, genomics, and survey methods. He is an elected member of the International Statistical Institute, a Fellow of the American Statistical Association and of the American Association for the Advancement of Science, and a National Associate of the National Research Council. He served as coordinating editor of The Journal of the American Statistical Association, co-editor of Biometrics, and president of the International Biometric Society. He chaired the ASA section on Bayesian Statistical Science and the AAAS Statistics Section. Other service includes the Health Review Committee of the Health Effects Institute, the NIH/NIEHS Board of Scientific Counselors, chair of the COPSS-CMS committee on assessing hospital performance. Service via the National Academies includes the Committee on National Statistics, the Committee on Applied and Theoretical Statistics, the Panel on Estimates of Poverty for Small Geographic Areas, the Panel on Formula Allocation of Federal and State Program Funds (chair), the Board of the Medical Follow-up Agency, the Panel to Assess the Health Consequences of Service in the Persian Gulf War, the Committee on the use of Third Party Toxicity Research, and the Standing Committee on Risk Assessment.

Emily Kendall[Email]

Emily Kendall, MD, is an Assistant Professor in the Division of Infectious Diseases in the JHU School of Medicine. As an infectious diseases clinician as well as a mathematical modeler, she seeks to improve the treatment of tuberculosis using computational frameworks combined with preclinical, clinical, and epidemiologic data. She is interested in individualizing therapy based on patient and TB strain characteristics, optimizing the use of novel drugs and regimens for TB treatment, preventing emergence of new drug resistance, and anticipating the impact of treatment guidelines and policies on TB epidemics.

Xiangrong Kong[Email]

I received my training in applied mathematics and biostatistics, and have been working as a biostatistician and epidemiologist in the field of HIV/AIDS and common STDs. In the recent a few years, I also worked extensively in the field of ophthalmology. Motivated by research data from these areas, my statistical methodology work has focused on longitudinal data with complicated correlation structures. I also received training through a career award in social and behavioral sciences in the context of promoting health seeking behaviors for HIV prevention. My current research interests include: translational epidemiology research to evaluate the population impact of scale-up of HIV prevention interventions using empirical data and methodology development for using structural parameters in vision research.

Colleen Hanrahan[Email]

Colleen Hanrahan is an Assistant Scientist in the Epidemiology Department at Johns Hopkins School of Public Health. Her primary interest area is the intersection of the global HIV and TB pandemics. Her current work focuses on operational research on the implementation and patient impact of new and existing TB diagnostics, isoniazid preventive therapy, and active case finding approaches for TB. She is also interested in evaluating approaches to initiate and retain HIV positive individuals in care. Colleen has spent 3 years living in South Africa, and brings a wealth of “on the ground” research experience as well as a deep love for the African continent.

Parastu Kasaie[Email]

Parastu Kasaie is a research associate in the department of Health, Behaviour and Society. Her research interests include simulation modeling and analysis of infectious diseases, and her current research focus is on agent-based simulation of Tuberculosis epidemics.

Sourya Shrestha[Email]

Sourya Shrestha is a Research Associate in the department of Epidemiology at the Johns Hopkins Bloomberg School of Health. He received his doctoral training in applied mathematics from the University of Michigan, and postdoctoral training in ecology and epidemiology of infectious diseases at Michigan and Hopkins, respectively. He is interested in developing mathematical and computational models of epidemiology of infectious diseases, and to ultimately use them to design and inform effective public health interventions. Although he maintains interest in the epidemiology of pneumococcus and dengue virus, tuberculosis (TB) is the primary focus of his current research. Some of his recent and ongoing work includes (i) understanding the heterogeneity of TB in the context of targeted interventions; (ii) modeling dynamics and control of domestic TB in the US (in collaboration with the CDC); and (iii) developing models to inform active case finding efforts in Pakistan (in collaboration with IRD), and in Nepal (in collaboration with IMPACT TB team). He enjoys traveling, cooking and trying different cuisines, and tennis (both watching and playing).

Andrew Azman[Email]

Andrew Azman is a research associate in the Department of Epidemiology at Johns Hopkins Bloomberg School of Public Health. Andrew shares his time between working on studying the 'slow' dynamics of tuberculosis and much 'faster' enteric diseases like cholera. Andrew's general interests lie in understanding how complex computational and statistical models can inform smart disease control policy. In addition to spending time in front of the computer, also works on the design of empirical studies to help further our understanding of disease dynamics and control. Andrew received his PhD in Epidemiology and an MHS in Biostatistics from Johns Hopkins University in 2014. Prior to becoming an Epidemiologist, Andrew was an environmental engineer working on water and sanitation related issues.

Fellows

Sarah Cherng[Email]

Sarah is a postdoctoral fellow working on mathematical modeling of TB dynamics and prevention. She received her PhD in Epidemiology from the University of Michigan with certification in Computational Engineering and Discovery. Prior to becoming an infectious disease modeler, Sarah's work focused primarily on utilizing agent-based and networks modeling in tobacco control epidemiology, focusing on the effects of friendship networks and feedbacks on smoking behavior diffusion. In her spare time, she enjoys playing video games and climbing rocks. Current projects include characterizing TB incidence heterogeneity across states among populations at high risk, and developing a mathematical model of an idealized, long-acting preventive therapy regimen to explore and better understand how to reduce TB incidence among people living with HIV.

Hojoon Sohn[Email]

I am a public health researcher with interdisciplinary specialties in epidemiology and health economics. My research focuses on exploring innovative methods that combine methodologies and topics across various public health disciplines that include translational epidemiology, health economics, health systems operations and technology assessment, and operational research. I seek to streamline health economic and epidemiology methods in both model-based and field-based studies that can supplement evidence-based decisions in global and national-level policies and to innovate new data-gathering methods/studies.

Todd Fojo[Email]

Todd Fojo is a fellow in the General Internal Medicine Fellowship at the School of Medicine with a primary interest in developing mathematical models of human disease. He does specific work on tuberculosis epidemics and the intersection of mental health and HIV, as well as on developing innovative models to forecast epidemic and individual disease trajectories.

Graduate Students

Kate Shearer[Email]

Kate Shearer is a PhD Candidate in the Department of Epidemiology at the Johns Hopkins Bloomberg School of Public Health and a Fogarty Global Health Scholar at the Health Economics and Epidemiology Research Office in Johannesburg, South Africa. Her current research is primarily focused on novel analyses of laboratory data to characterize the TB epidemic in South Africa and her other research interests include programmatic (mortality and loss to follow-up), treatment (virologic suppression and failure) and clinical (opportunistic infections) outcomes of people living with HIV.

Lelia Chaisson[Email]

Lelia is a PhD student in infectious disease epidemiology. Her research interests include TB diagnosis, prevention, and control, and TB/HIV co-infection. She is currently leading a study evaluating the impact of universal antiretroviral therapy on patient outcomes and the community burden of HIV and HIV-related comorbidities in Rio de Janeiro, Brazil (UnivART Rio). Prior to JHSPH, Lelia worked as an epidemiologist at UCSF studying the implementation of novel TB diagnostics in Vietnam and Uganda. Lelia has a BA in Public Health from Johns Hopkins University and an MSc in Epidemiology from the London School of Hygiene and Tropical Medicine.

Phil Salvatore[Email]

Phillip Salvatore is a PhD Candidate in the Department of Molecular Microbiology and Immunology at the Johns Hopkins Bloomberg School of Public Health. His research focuses on the interface between pathogen biology and infectious disease epidemiology as it pertains to public health. By understanding the pathological dynamics of Mycobacterium tuberculosis through mathematical models, he aims to translate molecular studies into a clinical and population context. Each spring, he joins Professor Bill Moss in teaching Practical Epidemiology for Basic Scientists to a wide audience of laboratorians and graduate students. Before arriving at Johns Hopkins, he worked in Niger, Senegal, and Chad for multiple international organizations and received his Master of Science in Epidemiology from the Harvard School of Public Health.

Brooke Jarrett[Email]

Brooke is a PhD candidate in infectious disease epidemiology. Prior to JHSPH, she managed transportation networks and software development for an industrial supply company. She currently conducts implementation science research and is interested in service delivery, stigma among key populations, and the application of cognitive computing in health. She holds an MSPH from JHSPH, MS in Environmental Engineering from Northwestern University, and BS from MIT. Outside of school, Brooke runs a nonprofit startup called Project Alloy that's dedicated to sending underrepresented folks to technical conferences.

Katherine Robsky[Email]

Katherine Robsky is a first year PhD student in Infectious Disease Epidemiology at Johns Hopkins Bloomberg School of Public Health. Her interests include applying traditional epidemiologic methods as well techniques from other fields to analyze strategies for effective TB control. Prior to joining the team, she worked as an ASPPH/CDC Strategic Information Fellow and Senior TB/HIV Advisor for CDC in Windhoek, Namibia, where she led operational research projects on TB and HIV service integration. Her non-public health interests include running far, lifting heavy things, and playing with cute animals.

Bud Stracker[Email]

Bud Stracker is a first year Master’s student (ScM) in Epidemiology, Infectious Disease track. A wide variety of research interests–from TB and implementation science, to social determinants of intervention efficacy, to vector-borne infections–keep him busy around the School of Public Health. Specific regional interests include TB dynamics in Central and East Asia. Other interests include cello, triathlons, languages, and arts & crafts time.

Staff

Radhika Tampi[Email]

Radhika Tampi is a Research Assistant in the Department of Epidemiology. Her work involves conducting economic evaluations of TB & HIV interventions in low and middle income countries (LMICs) to support informed, data-driven policies in public health. She is particularly interested in determining the cost-effectiveness of implementing advanced TB diagnostics in LMIC contexts. She is currently developing a standardized method to measure the costs associated with various TB and HIV interventions in LMICs and using this information to conduct cost-effectiveness analyses on projects in Zambia, Uganda, and Vietnam. Radhika graduated from the Johns Hopkins Bloomberg School of Public Health in 2016 with a Master of Health Sciences (MHS) in Health Economics from the Department of International Health. In her spare time, you can find her either cooking, baking, and perusing food blogs or watching funny cat videos.

Austin Tucker[Email]

Austin Tucker is a research assistant in the Department of Epidemiology. His work primarily involves cost data collection and performing economic evaluation and cost effectiveness research on TB & HIV program interventions. Austin currently works on developing generalized cost collection tools for improving the efficiency of future economic evaluations for TB/HIV interventions with a rigorous methodology. His research interests include economic modeling/evaluation and health system efficiency. In his free time Austin enjoys riding his bicycle and playing basketball.

Friends and Affiliates

Alice Zwerling[Email]

Alice Zwerling is an assistant professor in the school of Epidemiology and Public Health at the University of Ottawa. Her current research projects include TB diagnostics and treatment evaluations with a focus on economic evaluations and modeling TB control interventions. Other research interests include understanding the dynamics of TB transmission. Alice holds a PhD in Epidemiology from McGill University, Montreal, Canada and an MSc in Epidemiology also from McGill University. Her doctoral research focused on the evaluation of Interferon-gamma release assays for use in screening health care workers for latent TB infection in both high and low TB incidence settings. Previous work in TB include projects bridging molecular epidemiology and geographic distribution of TB and The BCG World Atlas.