Elaine Nsoesie
Profiles

Elaine O. Nsoesie, PhD, MS

Associate Professor, Global Health - Boston University School of Public Health

617-358-3120
onelaine@bu.edu
Crosstown Center
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Biography

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.

Other Positions

  • Founding Assistant Professor, Computing & Data Sciences Administration - Boston University
  • Member, Evans Center for Interdisciplinary Biomedical Research - Boston University

Education

  • Virginia Tech, PhD Field of Study: Genetics/Bioinformatics
  • Virginia Tech, MS Field of Study: Statistics
  • University of Maryland, BS Field of Study: Mathematics

Websites

Publications

  • Published on 9/8/2023

    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. PMID: 37682911.

     Read At: PubMed
  • Published on 7/25/2023

    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. PMID: 37490461.

     Read At: PubMed
  • Published on 5/1/2023

    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. PMID: 37129894.

     Read At: PubMed
  • Published on 1/3/2023

    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.

     Read At: PubMed
  • Published on 9/23/2022

    Nsoesie EO, Vu C. Monkeypox: Where are the racial disparities? Lancet Reg Health Am. 2023 Jan; 17:100372. PMID: 36249074.

     Read At: PubMed
  • Published on 7/26/2022

    Nsoesie EO, Galea S. Towards better Data Science to address racial bias and health equity. PNAS Nexus. 2022 Jul; 1(3):pgac120. PMID: 36741434.

     Read At: PubMed
  • Published on 7/26/2022

    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.

     Read At: PubMed
  • Published on 7/21/2022

    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. PMID: 35898347.

     Read At: PubMed
  • Published on 6/15/2022

    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. PMID: 35721836.

     Read At: PubMed
  • Published on 6/1/2022

    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). PMID: 35705225.

     Read At: PubMed

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