• Data Visualization
  • Data Science
  • Web Development

Research Area


  • INFO 201 - Technical Foundations
  • INFO 474 - Interactive Information Visualization


Michael Freeman is an Associate Teaching Professor at the University of Washington Information School, where he teaches courses in data science, interactive data visualization, and web development. Prior to his teaching career, he worked as a data visualization specialist and research fellow at the Institute for Health Metrics and Evaluation. There, he performed quantitative global health research and built a variety of interactive visualization systems to help researchers and the public explore global health trends. Michael is interested in applications of data science to social justice, and holds a Master's in Public Health from the University of Washington.


  • MPH, Health Metrics and Evaluation, University of Washington, 2013
  • BA, Sociology and International Affairs, Colorado College, 2010


  • Most Beautiful Data Visualization - Divvy, 2015

Consulting and Other Projects

  • American College of Physicians, New York, NY, 2017
  • Metis Data Science (Kaplan), Seattle, 2017
  • Cisco Systems, California, North Carolina, India, 2016
  • O'Reilly Media, Seattle, WA, 2016
  • Cisco Systems, San Jose, CA, 2015
  • Cisco Systems, San Jose, CA
  • Microsoft, Seattle
  • Polytechnic University of Madrid, Madrid, Spain

Publications and Contributions

  • Book, Scholarly-New
    Programming Skills for Data Science: Start Writing Code to Wrangle, Analyze, and Visualize Data with R (2018)
    Authors: Michael Freeman, Joel Ross
  • Computer-based training course
  • Journal Article, Academic Journal
    National Health Accounts data from 1996 to 2010: a systematic review (2015)
    Bulletin of the World Health Organization, Issue 93, Page 566–576 Authors: Anthony L Bui, Rouselle F Lavado, BP Brooks, others, Michael K Freeman
  • Journal Article, Academic Journal
    Sources and focus of health development assistance, 1990–2014 (2015)
    JAMA, Volume 313, Issue 23, Page 2359–2368 Authors: Joseph L Dieleman, Casey Graves, Elizabeth Johnson, Tara Templin, Maxwell Birger, Hannah Hamavid, Michael Freeman, Katherine Leach-Kemon, Lavanya Singh, Annie Haakenstad, others
  • Journal Article, Academic Journal
    Smoking Prevalence and Cigarette Consumption in 187 Countries, 1980-2012 (2014)
    JAMA, Volume 311, Issue 2, Page 183-192, ISBN/ISSN: doi:10.1001/jama.2013.284692 Authors: M Ng, Michael Freeman, et al.
  • Journal Article, Academic Journal
    Using verbal autopsy to measure causes of death: the comparative performance of existing methods (2014)
    BMC Medicine, Volume 12, Issue 5 Authors: C JL Murray, ..., Michael Freeman, et al.
  • Journal Article, Academic Journal
    Concentrating risk: a systematic analysis of the global smoking epidemic (2013)
    The Lancet, Volume 381, Page S52 Authors: Michael Freeman, Ella Sanman, Krycia Cowling, Marie Ng, Alan D Lopez, Ali Mokdad, Christopher JL Murray, Emmanuela Gakidou
  • Journal Article, Academic Journal
    Healthy life expectancy for 187 countries, 1990–2010: a systematic analysis for the Global Burden Disease Study 2010 (2013)
    The Lancet, Volume 380, Issue 9859, Page 2144–2162 Authors: Joshua A Salomon, Haidong Wang, Michael Freeman, Theo Vos, Abraham D Flaxman, Alan D Lopez, Christopher JL Murray
  • Technical Report
    Symptom recall and the diagnostic accuracy of verbal autopsies (2013)
    Authors: Peter Serina, Ian Riley, Bernardo Hernandez, Michael Freeman, Devarsetty Praveen, Veronica Tallo, Rohina Joshi, Diozele Sanvictores, Christopher JL Murray, Alan Lopez
  • Ph.D. Thesis
    The use of crowdsourcing and the role of game mechanics in identifying erroneous disease burden estimates (2013)
    Author: Michael Freeman
  • Journal Article, Academic Journal
    Performance of InterVA for assigning causes of death to verbal autopsies: multisite validation study using clinical diagnostic gold standards (2011)
    Popul Health Metr, Volume 9, Issue 50, Page 2 Authors: Rafael Lozano, Michael Freeman, Spencer L James, Benjamin Campbell, Alan D Lopez, Abraham D Flaxman, CJ Murray, others
  • Journal Article, Academic Journal
    Simplified Symptom Pattern Method for verbal autopsy analysis: multisite validation study using clinical diagnostic gold standards (2011)
    Popul Health Metr, Volume 9, Page 30 Authors: CJ Murray, Spencer L James, Jeanette K Birnbaum, Michael Freeman, Rafael Lozano, Alan D Lopez, others


  • Design Processes for Effective Visual Communication (2019)
    University of Warsaw Physics Department - Warsaw, Poland
  • Introduction to Visualization in Global Health (2019)
    Visiting Sunkyunkwan University Students - Seattle, Washington
  • Predicting Survivorship of Lung Cancer Patients (2019)
    Fulbright Spain Research Seminar - Madrid, Spain
  • Visualizing Concepts: Using Data to Explain Scientific Topics (2019)
    University of Warsaw - Warsaw, Poland
  • Visually Communicating Statistical and Machine Learning Methods (2019)
    Strata Data Conference - London, England
  • React for D3 Users (2018)
    OpenVis Conference - Paris, France
  • Visualization for Global Health (2018)
    Metis Data Science Training - Seattle, Washington
  • Visually Explaining Statistical and Machine Learning Concepts (2017)
    Open Data Science Conference - San Francisco, CA
  • Small Tips for Visualizing Big Data (2016)
    Data Science Singapore Meetup - Singapore, Singapore
  • Visualizing Concepts with D3.js (2016)
    Plotcon - New York, New York
  • Writing reusable visualization software with D3.js (2016)
    Strata + Hadoop World - Singapore, Singapore
  • What have you done!? How to visualize methods and models for decision makers (2015)
    Strata + Hadoop World 2015 - New York, NY
  • From Confusing to Convincing: A Framework for Using Animation and Storytelling to Bolster the Effectiveness of Interactive Visualizations (2014)
    Making Data Work, Strata + Hadoop World - Barcelona, Spain