I am an Assistant Professor in the Department of Epidemiology and Population Health at Stanford University School of Medicine. I received my doctorate 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, I was a 2016 fellow at University of Chicago’s Data Science for Social Good summer fellowship, and I was a Fellow at the Harvard FXB Center for Health and Human Rights
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., survey, 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, my work focuses on 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 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 Stanford Institute on Human-centered Artificial Intelligence on how (and if) we can use smartphones to gather data from more generalizable samples.
- Lundberg DJ, Wrigley-Field E, Cho A, Raquib R, Nsoesie EO, Paglino E, Chen R, Kiang MV, Riley AR, Chen Y-H, Charpignon M-L, Hempstead K, Preston SH, Elo IT, Glymour MM, Stokes AC. COVID-19 mortality by race and ethnicity in metropolitan and nonmetropolitan areas, March 2020 to February 2022. JAMA Network Open. 2023;6(5):e2311098. doi: 10.1001/jamanetworkopen.2023.11098 [Open Access] [BU Press Release]
- Do V, McBrien H, Flores NM, Northrop AJ, Schlegelmilch J, Kiang MV, Casey JA. Spatiotemporal distribution of power outages with climate events and social vulnerability in the USA. Nature Communications. 2023 Apr 29 14(1):2470. doi: 10.1038/s41467-023-38084-6 [Open Access]
- Velasquez E, Benmarhnia T, Casey JA, Aguilera R, Kiang MV. Quantifying exposure to wildfire smoke among school-aged children in California, 2006 – 2021. JAMA Network Open. 2023;6(4):e235863. doi: 10.1001/jamanetworkopen.2023.5863. [Open Access] [Invited commentary] [Code and data]
- Heft-Neal S, Gould CF, Childs M, Kiang MV, Nadeau K, Duggan M, Bendavid E, Burke M, Behavior mediates the health effects of extreme wildfire smoke events, NBER Working Paper 30969 (Feb 2023), doi: 10.3386/w30969. [Open Access]
- Kiang MV, Carlasare LE, Israni ST, Norcini J, Zaman JAB, Bibbins-Domingo K, Excess mortality among US physicians during the COVID-19 pandemic. JAMA Internal Medicine. 2023 Feb 6;. doi: 10.1001/jamainternmed.2022.6308. [Epub ahead of print] PubMed PMID: 36745424 [Open Access] [Code] [AMA release] [Stanford Blog]
- Elser H, Humphreys K, Kiang MV, Mehta S, Yoon JH, Faustman WO, Matthay EC. State Cannabis Legalization and Psychosis-Related Health Care Utilization. JAMA Network Open. 2023 Jan 3;6(1):e2252689. doi: 10.1001/jamanetworkopen.2022.52689. PubMed PMID: 36696111. [Open Access]
- Elser H, Rowland ST, Marek MS, Kiang MV, Shea B, Do V, Benmarhnia T, Schneider ALC, Casey JA. Wildfire smoke exposure and emergency department visits for headache: A case-crossover analysis in California, 2006–2020. Headache. 2023 Jan 18;. doi: 10.1111/head.14442. [Epub ahead of print] PubMed PMID: 36651537.
- Potter AL, Haridas C, Neumann K, Kiang MV, Fong ZV, Riddell CA, Pope HG Jr, Yang CJ. Incidence, Timing, and Factors Associated With Suicide Among Patients Undergoing Surgery for Cancer in the US. JAMA Oncology. 2023 Jan 12;. doi: 10.1001/jamaoncol.2022.6549. [Editor’s note]
- Criss S, Nguyen TT, Michaels EK, Gee G, Kiang MV, Nguyen QC, Norton S, Titherington E, Nguyen L, Yardi I, Kim M, Thai N, Shepherd A, Kennedy CJ, Solidarity and strife after the Atlanta spa shootings: a mixed methods study characterizing Twitter discussions by qualitative analysis and machine learning, Frontiers in Public Health. 2023 Jan 08; doi: 10.3389/fpubh.2023.952069. [Open Access]
- Riley AC, Stokes AC, Chen Y-H, Kiang MV, Occupational disparities in excess mortality due to external causes during the pandemic. Population Association of America Annual Meeting 2023: New Orleans (April 2023).
- Kiang MV, Chen Y-H, Matthay EC, Glymour MM, Bibbins-Domingo K, Humphreys K, & Arthur KN, Colliding Crises: Excess fatal drug overdoses in California during the COVID-19 pandemic by race/ethnicity, education attainment, and geography. Population Association of America Annual Meeting 2022: Atlanta (April 2022).
- Faculty Mentor, Advancing Health Equity and Diversity (AHEaD)Fellowship (Summer 2021 and Summer 2022), Stanford University School of Medicine [Stanford Report] [Stanford Scope Blog]
- 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.