Elaine Nsoesie, PhD
Associate Professor
Boston University School of Public Health
Global Health

PhD, Virginia Tech
MS, Virginia Tech
BS, University of Maryland

Elaine O. Nsoesie is an Associate Professor in the Department of Global Health at the Boston University School of Public Health. She is an internationally recognized data scientist and a leading voice on the use of data and technology to advance health equity. She is a Data Science Faculty Fellow and was a Founding Faculty of the Boston University Faculty of Computing and Data Sciences.

She served as a program lead and senior advisor to the Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity (AIM-AHEAD) Program at the National Institutes of Health through the Intergovernmental Personnel Act (IPA) Mobility Program. She also led the Racial Data Tracker project at the Boston University Center for Antiracist Research.

She has expertise in the application of data science methods (including, machine learning and artificial intelligence) and data from non-traditional public health sources (such as, mobile phones, satellites, and social media) to address major global health challenges. Her work approaches health equity from multiple angles, including increasing representation of communities typically underrepresented in data science through programs like Data Science Africa and AIM-AHEAD; addressing bias in health data and algorithms; and using data and policy to advance racial equity. She has collaborated with local departments of health in the U.S. to improve disease surveillance systems, international organizations like UNICEF and UNDP, and served as a Data & Innovation Fellow in the Directorate of Science, Technology, and Innovation (DSTI), The President’s Office, Sierra Leone.

She has published extensively in peer-reviewed literature. She is also known for her ability to effectively communicate complex information with diverse audiences. She has given more than 100 invited talks including keynotes and distinguished lectures at conferences, workshops and institutions across five continents.

Nsoesie was born and raised in Cameroon.

Nsoesie completed her PhD in Computational Epidemiology from the Genetics, Bioinformatics and Computational Biology program at Virginia Tech, and her PhD dissertation, Sensitivity Analysis and Forecasting in Network Epidemiology Models, at the Network Dynamics and Simulations Science Lab at Virginia Tech BioComplexity Institute. After postdoctoral associate positions at Harvard Medical School and Boston Children’s Hospital, she joined the faculty of the Institute for Health Metrics and Evaluation (IHME) at the University of Washington.

Founding Assistant Professor
Boston University
Computing & Data Sciences Administration

Boston University
Evans Center for Interdisciplinary Biomedical Research

Personnel Agreement for Research Services of Elaine Nsoesie
08/09/2021 - 08/08/2023 (PI)
NIH/Office of the Director

BU Center for Antiracist Research - The Racial Data Tracker
09/01/2020 - 12/31/2022 (PI)
The Ford Foundation

Assessing the representativeness and quality of social media data from Twitter for its usefulness in public health research -- Transfer Grant
01/15/2019 - 10/14/2019 (PI)
Robert Wood Johnson Foundation


Yr Title Project-Sub Proj Pubs

Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.

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  1. Akinseinde SA, Kosemani S, Osuolale E, Cesare N, Pellicane S, Nsoesie EO. Association between wealth, insurance coverage, urban residence, median age and COVID-19 deaths across states in Nigeria. PLoS One. 2023; 18(9):e0291118.View Related Profiles. PMID: 37682911; PMCID: PMC10490894; DOI: 10.1371/journal.pone.0291118;
  2. Babbs G, Weber SE, Abdalla SM, Cesare N, Nsoesie EO. Use of machine learning methods to understand discussions of female genital mutilation/cutting on social media. PLOS Glob Public Health. 2023; 3(7):e0000878.View Related Profiles. PMID: 37490461; PMCID: PMC10368253; DOI: 10.1371/journal.pgph.0000878;
  3. Lundberg DJ, Wrigley-Field E, Cho A, Raquib R, Nsoesie EO, Paglino E, Chen R, Kiang MV, Riley AR, Chen YH, Charpignon ML, Hempstead K, Preston SH, Elo IT, Glymour MM, Stokes AC. COVID-19 Mortality by Race and Ethnicity in US Metropolitan and Nonmetropolitan Areas, March 2020 to February 2022. JAMA Netw Open. 2023 May 01; 6(5):e2311098.View Related Profiles. PMID: 37129894; PMCID: PMC10155069; DOI: 10.1001/jamanetworkopen.2023.11098;
  4. Yang Y, Cho A, Nguyen Q, Nsoesie EO. Association of Neighborhood Racial and Ethnic Composition and Historical Redlining With Built Environment Indicators Derived From Street View Images in the US. JAMA Netw Open. 2023 Jan 03; 6(1):e2251201. PMID: 36652250; PMCID: PMC9856713; DOI: 10.1001/jamanetworkopen.2022.51201;
  5. Nsoesie EO, Vu C. Monkeypox: Where are the racial disparities? Lancet Reg Health Am. 2023 Jan; 17:100372. PMID: 36249074; PMCID: PMC9534126; DOI: 10.1016/j.lana.2022.100372;
  6. Reyna MA, Nsoesie EO, Clifford GD. Rethinking Algorithm Performance Metrics for Artificial Intelligence in Diagnostic Medicine. JAMA. 2022 07 26; 328(4):329-330. PMID: 35802382
  7. Nsoesie EO, Galea S. Towards better Data Science to address racial bias and health equity. PNAS Nexus. 2022 Jul; 1(3):pgac120.View Related Profiles. PMID: 36741434; PMCID: PMC9896874; DOI: 10.1093/pnasnexus/pgac120;
  8. Lundberg DJ, Cho A, Raquib R, Nsoesie EO, Wrigley-Field E, Stokes AC. Geographic and Temporal Patterns in Covid-19 Mortality by Race and Ethnicity in the United States from March 2020 to February 2022. medRxiv. 2022 Jul 21.View Related Profiles. PMID: 35898347; PMCID: PMC9327633; DOI: 10.1101/2022.07.20.22277872;
  9. Hernandez MA, Modi S, Mittal K, Dwivedi P, Nguyen QC, Cesare NL, Nsoesie EO. Diet during the COVID-19 pandemic: An analysis of Twitter data. Patterns (N Y). 2022 Aug 12; 3(8):100547.View Related Profiles. PMID: 35721836; PMCID: PMC9197791; DOI: 10.1016/j.patter.2022.100547;
  10. Abdalla SM, Hernandez M, Fazaludeen Koya S, Rosenberg SB, Robbins G, Magana L, Nsoesie EO, Sabin L, Galea S. What matters for health? Public views from eight countries. BMJ Glob Health. 2022 Jun; 7(6).View Related Profiles. PMID: 35705225; PMCID: PMC9204457; DOI: 10.1136/bmjgh-2022-008858;
Showing 10 of 71 results. Show More

This graph shows the total number of publications by year, by first, middle/unknown, or last author.

Bar chart showing 71 publications over 13 distinct years, with a maximum of 9 publications in 2022


Recent (within 3 months)

Using AI to Decolonize Health Care in Africa

Think Global Health 5/7/2024

Using AI to Decolonize Health Care in Africa

Think Global Health 5/7/2024


Pharmacy deserts in Black and Latino communities are harming residents

The Boston Globe 1/18/2024

What “Black Resistance” Means to Me

BU Today 2/15/2023

Across the US, White neighborhoods have more greenery, fewer dilapidated buildings, fewer multi-family homes: Study

Phys 1/20/2023

Tweets suggest people consumed healthier foods during the pandemic

Medical Xpress 7/26/2022

The Pain Was Unbearable. So Why Did Doctors Turn Her Away?

WIRED 8/11/2021

Does the US have to wear masks again for the Delta variant of Covid?

The Guardian 8/5/2021

Spreading Like a Virus: False Rumor That 5G Causes COVID-19

SciTechDaily 1/20/2021

5G doesn’t cause COVID-19, but the myth spread quickly

Futurity 1/8/2021

Recognizing Miscarriage as an Occasion for Grief

The New York Times 10/19/2020

What We Ask About Coronavirus in Africa

Think Global Health 6/24/2020

The Pandemic and the Protests Are Mirror Images

WIRED 6/10/2020

Satellite date suggests coronavirus may have hit China earlier: Researchers

ABC News 6/8/2020

Protesting Racism Versus Risking COVID-19: ‘I Wouldn’t Weigh These Crises Separately’

NPR 6/1/2020

COVID-19 Project: The Nigerian effort against the pandemic (

Medium Elemental 4/21/2020

COVID-19 Project: The Nigerian Effort Against the Pandemic

Medium Elemental 4/21/2020

Black Americans Face Alarming Rates of Coronavirus Infection in Some States

The New York Times 4/7/2020

Coronavirus Live Updates: Trump Effectively Ousts Top Watchdog for Relief Funds

The New York Times 4/7/2020

How to Spot a Covid-19 Carpetbagger, and an Expert

WIRED 4/5/2020

Can Social Media Predict When You’ll Die?

Futurity 10/1/2019

Can Social Media Predict When You’ll Die?

BU Today 9/27/2019

Tweets Show How Different U.S. Regions Like to Exercise

Futurity 8/27/2019

Twitter Data Shows Who Is Hitting the Gym

BU Today 8/21/2019

Researchers Train AI To Spot Potentially Unsafe Food Products On Amazon

Tech Times 8/8/2019

Social media chatter reveals county-level male v. female exercise patterns

AI In Healthcare 7/19/2019

Researchers use Twitter and AI to see who is hitting the gym

Science Daily 7/18/2019

Researchers use Twitter and artificial intelligence to see who’s exercising

News Medical 7/18/2019

Artificial intelligence could revolutionize medical care. But don’t trust it to read your x-ray just yet

Science Magazine 6/17/2019

Know What’s Good for your Health? Artificial Intelligence

BU Today 5/29/2019

Surveillance for the public good

The Boston Globe 9/23/2018
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