I am an Instructor in the Department of Epidemiology and Population Health at Stanford University School of Medicine and a Fellow at the Harvard FXB Center for Health and Human Rights. I received my doctorate in Quantitative Methods from the Department of Social and Behavioral Sciences at Harvard TH Chan School of Public Health. Before that, I received my MPH at New York University, my BA in Sociology from San Diego State University, and I was a 2016 fellow at University of Chicago’s Data Science for Social Good summer fellowship.
Most of my research lies at the intersection of computational social science and social epidemiology. Methodologically, my work revolves around combining disparate data sources in epidemiologically meaningful ways. For example, I work with individual-level, non-health data (e.g., GPS, accelerometer, and other sensor data from smartphones), traditional health data (e.g., health systems or death certificate data), and third-party data (e.g., cellphone providers or ad-tech data). To do this, I use a variety of methods such as joint Bayesian spatial models, traditional epidemiologic models, dynamical models, microsimulation, and demographic analysis.
Substantively, I am interested in socioeconomic and racial/ethnic inequities in health. A few current projects include (1) my K99/R00-funded work focused on reducing racial/ethnic inequities in the treatment of opioid use disorder; (2) my work with California Department of Public Health (through CrisisReady) on quantifying the impacts of wildfires, natural disasters, climate change, and power outages on medically-vulnerable populations to inform equitable disaster response; and (3) my work with the COVID-19 Mobility Data Network on leveraging third-party data to evaluate and inform public health interventions to the COVID-19 pandemic.
- Elser H†, Kiang MV†, John EM, Simard JF, Bondy M, Nelson LM, Chen W, Linos E, Implications of the COVID-19 San Francisco Bay Area Shelter-in-Place Announcement: A cross-sectional social media survey, PLOS One (January 2021), doi: 10.1371/journal.pone.0244819. [Pre-print version] [Open Access]
- Kiang MV†, Santillana M†, Chen JT, Onnela J-P, Krieger N, Engø-Monsen K, Ekapirat N, Areechokchai D, Prempree P, Maude RJ‡, & Buckee CO‡, Incorporating human mobility data improves forecasts of Dengue fever in Thailand, Scientific Reports (January 2021), doi: 10.1038/s41598-020-79438-0. [Pre-print version] [†First authors contributed equally] [‡Senior authors contributed equally]
- Baum LVM, Bruzelius E, Kiang MV, Humphreys K, Basu S, & Baum A, Analysis of unused prescription opioids and benzodiazepines remaining after death among Medicare decedents, Drug and Alcohol Dependence (February 2021), doi: 10.1016/j.drugalcdep.2020.108502
- Kiang MV, Chen JT, Krieger N, Buckee CO, Alexander MJ, Baker JT, Buckner RL, Coombs III G, Rich-Edwards JW, Carlson KW, & Onnela JP, Sociodemographic characteristics of missing data in digital phenotyping, medRxiv (January 2021) doi: 10.1101/2020.12.29.20249002. [Pre-print — not peer-reviewed] [Open Access]
- Kiang MV, Chin ET, Huynh BQ, Chapman LAC, Rodríguez-Barraquer I, Greenhouse B, Rutherford GW, Bibbins-Domingo K, Havlir D, Basu S, & Lo NC, Routine asymptomatic testing strategies for airline travel during the COVID-19 pandemic: a simulation analysis, medRxiv (December 2020), doi: 10.1101/2020.12.08.20246132. [Pre-print — not peer-reviewed] [Open Access]
- Salje H, Wesolowski A, Brown TS, Kiang MV, Berry IM, Lefrancq N, Fernandez S, Jarman R, Ruchusatsawat K, Iamsirithaworn S, Vandepitte W, Suntarattiwong P, Klungthong C, Thaisomboonsuk B, Engø-Monsen K, Buckee CO‡, Cauchemez S‡, & Cummings DA‡, Reconstructing unseen transmission events to infer dengue dynamics from viral sequences, medRxiv (November 2020), doi: 10.1101/2020.11.25.20236927. [Pre-print — not peer-reviewed] [Open Access] [‡Senior authors contributed equally]
- Casey JA, Fukurai M, Hernandez D, Balsari S, & Kiang MV, Power outages and community health: a narrative review, Current Environmental Health Reports (November 2020), doi: 10.1007/s40572-020-00295-0.
- Kiang MV, Irizarry RA, Buckee CO, & Balsari S, Every body counts: Measuring mortality from the COVID-19 pandemic, Annals of Internal Medicine (September 2020), doi: 10.7326/M20-3100. [Open Access] [Accompanying Editorial]
- Chin T†, Kahn R†, Li R, Chen JT, Krieger N, Buckee CO, Balsari S‡ & Kiang MV‡, US county-level level variation in intersecting individual, household, and community characteristics relevant to COVID-19 and planning an equitable response: a cross-sectional, BMJ Open (September 2020), doi: 10.1136/bmjopen-2020-039886. [†First authors contributed equally] [‡Senior authors contributed equally] [Pre-print version]
- Kishore N, Kiang MV, Engø-Monsen K, Vembar N, Balsari S, & Buckee CO, Measuring mobility to monitor travel and physical distancing interventions: a common framework for mobile phone data analysis, The Lancet Digital Health (September 2020), doi: 10.1016/S2589-7500(20)30193-X [Pre-print version]
- Kiang MV & Tsai AC, Statements issued by academic medical institutions after George Floyd’s killing by police and subsequent unrest in the United States: cross-sectional study, medRxiv (July 2020)*, doi: 10.1101/2020.06.22.20137844. [Pre-print — not peer-reviewed] [Open Access] [Code]
- Kiang MV, Humphreys K, Cullen MR, Basu S. Opioid prescribing patterns among medical providers in the United States, 2003–17: retrospective, observational study, BMJ (January 2020), doi: 10.1136/bmj.l6968 [Open Access] [PDF] [Code] [Shiny Apps] [BMJ Press Release]
- Ferguson J, Magid H, Purnell A, Kiang MV, & Osborne T, Evaluating potential disparities in COVID-19 testing and test positivity in the veterans health administration. American Public Health Association Annual Meeting 2020: Online (October 2020).
- Matthay EC, Kiang MV, Elser H, Glymour MM, Schmidt LA, & Humphreys K, Association of recreational cannabis laws with self-harm and assault injuries. Interdisciplinary Association for Population Health Sciences Annual Conference 2020: Online (September 2020).
- Instructor, Big Data and Infectious Disease Epidemiology (September 2019), People’s Republic of Bangladesh Directorate General of Health Services
- Course developer (x2), Using Python for Research via HarvardX V1 (November 2016) and V2 (January 2018), HSPH, Professor Jukka-Pekka Onnela
- Instructor, Intro to Causal Inference for Data Science Workshop (March 2017), Instituto Tecnológico Autónomo de México
- Teaching assistant (x2), Dynamics of Infectious Disease (Spring 2017 and Spring 2018), HSPH, Professor Caroline Buckee
- Teaching assistant, Society and Health (Fall 2013), HSPH, Professor Ichiro Kawachi
- Teaching assistant, Biostatistics II (Spring 2010), NYU, Professor Ying Lu
- Teaching assistant, Statistics I (Fall 2009), NYU, Professor Robert Norman
†First authors contributed equally.
‡Senior authors contributed equally.
§Best student poster award.