My previous work involved using individual-level multimodal data (e.g., smartphone-based digital phenotyping data from various sensors), microlevel administrative data (e.g., death certificates), and third-party data (e.g., human mobility across mobile phone carriers) with spatial modeling, Bayesian methods, and data science to measure, model, and understand health disparities.
I currently have three streams of research. At Stanford, I’m working with Keith Humphreys and the Shah Lab to use machine learning and causal inference on large electronic medical records to understand racial/ethnic disparities in fatal drug overdoses and treatment of substance use disorder. With Harvard FXB, I am examining the effects of wildfires, climate change, and public safety power shutoffs on medically-vulnerable populations. Lastly, with the COVID-19 Mobility Data Network, I am helping technology companies and infectious disease researchers use third-party phone-based location data to understand and measure the impact of non-pharmaceutical interventions on the epidemic spread of COVID-19.
- 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, medRxiv (July 2020)*, doi: 10.1101/2020.06.29.20143156. [Pre-print — not peer-reviewed.] [Open Access]
- 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 [Pre-print — not peer-reviewed.]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]
- Kishore N, Kiang MV, Engø-Monsen K, Vembar N, Balsari S, & Buckee CO. Mobile phone data analysis guidelines: applications to monitoring physical distancing and modeling COVID-19. OSF Preprints (April 2020)*, doi: 10.31219/osf.io/5arjy
- U.S. county-level characteristics to inform equitable COVID-19 response,
- 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]
- Tsai AC, Kiang MV, Barnett ML, Beletsky L, Keyes KM, McGinty EE, Smith LR, Strathdee S, Wakeman SE, & Venkataramani AS, Stigma as a fundamental hindrance to the US opioid overdose crisis response, PLOS Medicine (November 2019), doi: 10.1371/journal.pmed.1002969 [Open Access] [PDF]
- Kiang MV, Krieger N, Buckee CO, Onnela JP, & Chen JT. Decomposition of the US black/white inequality in premature mortality, 2010–2015: an observational study. BMJ Open (November 2019), doi: 10.1136/bmjopen-2019-029373 [Open Access] [PDF] [Code]
- Vable AM, Kiang MV, Glymour MM, Rigdon J, Drabo EF, & Basu S, Performance of matching methods to unmatched ordinary least squares regression under constant effects, American Journal of Epidemiology (April 2019), doi: 10.1093/aje/kwz093
- Kiang MV, Basu S, Chen JT, and Alexander MJ. Assessment of changes in the geographical distribution of opioid-related mortality across the United States by opioid type, 1999- 2016. JAMA Network Open (Februrary 2019). doi: 10.1001/jamanetworkopen.2019.0040 [Open Access] [PDF] [Code] [Shiny App] [Official Press Release] [CNN] [NBC] [Altmetric]
- Gemmill A, Kiang MV, and Alexander MJ. Trends in pregnancy-associated mortality involving opioids in the United States, 2007-2016. American Journal of Obstetrics and Gynecology (January 2019). doi: 10.1016/j.ajog.2018.09.028 [Code] [Press Release]
- Kiang MV & Alexander MJ, Decomposition of the US Black/White inequality in life expectancy: Quantifying the impact of deaths of despair. Society for Epidemiologic Research Annual Meeting 2019: Minneapolis, MN (June 2019) [Slides]
- 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
†Authors contributed equally.
‡Best student poster award.