Research
Overview
I aim to build syndemic simulation models that integrate the overlapping risk factors, social determinants, and health conditions that disproportionately impact under-served populations. I also investigate the potential for multimodal data synthesis to inform these models, improve population health decision-making, and reduce health disparities. My work spans multiple communicable and non-communicable conditions linked to behavioral risk factors, including tobacco use, drug use, and obesity. During the COVID-19 pandemic, I partnered with local public health agencies to inform their decision-making. Additionally, I engage in interdisciplinary collaborative research to improve healthcare access, cost, and quality.
A complete list of publications is available on my CV or through Google Scholar.
Syndemic Simulation Models
Syndemics are overlapping epidemics, driven by contextual or social factors, that result in adverse interactions. I develop syndemic simulation models with the goal of improving our understanding of interventions that act on upstream determinants of health.
In-Progress: Pathways to Achieve HIV and HCV Infection Incidence Targets Among People Who Inject Drugs: A Stochastic Network-Based Multi-Disease Transmission Modeling Study
In-Progress: Health and Economic Effects of Expanding Integrated Services for People Who Inject Drugs in Massachusetts
Disease Burden, Forecasting, and Public Health Policy Impact
Effective public health policymaking requires a clear understanding of the burden of disease and opportunities for intervention. I generate estimates of disease burden and the potential impact of public health policies.
gbd 2019
age of initiation
forecasting
covid vax
health affairs covid ca
Multimodal Data Synthesis
Timely, high-resolution data are essential to health decision-making. I research methods for multimodal data synthesis that leverage complementary strengths of multiple sources of information.
MDM
In-Progress: Partial Identification of Small-Area Estimates of Population Health Indicators from Large-Scale Online Surveys with Sampling Bias (with Amy Guan, Roshni Sahoo, Joshua Salomon, and Stefan Wager)
Healthcare Access, Costs, and Quality
Working with domain experts, I apply a range of methods to analyze claims, census, survey, health record, program, and other data to generate policy-relevant evidence on issues of healthcare access, costs, and quality.