Specializations
- Data Visualization
- Data Science
- Web Development
Research Area
Courses
- INFO 340 - Client-Side Development
Biography
Michael Freeman is a Senior Lecturer 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.
Education
- MPH, Health Metrics and Evaluation, University of Washington, 2013
- BA, Sociology and International Affairs, Colorado College, 2010
Awards
- 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
Publications and Contributions
-
Book, Scholarly-NewProgramming Skills for Data Science: Start Writing Code to Wrangle, Analyze, and Visualize Data with R (2018)
-
Computer-based training course
-
Journal Article, Academic JournalNational Health Accounts data from 1996 to 2010: a systematic review (2015)Bulletin of the World Health Organization, Issue 93, Page 566–576
-
Journal Article, Academic JournalSources and focus of health development assistance, 1990–2014 (2015)JAMA, Volume 313, Issue 23, Page 2359–2368
-
Journal Article, Academic JournalSmoking 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
-
Journal Article, Academic JournalUsing verbal autopsy to measure causes of death: the comparative performance of existing methods (2014)BMC Medicine, Volume 12, Issue 5
-
Journal Article, Academic JournalConcentrating risk: a systematic analysis of the global smoking epidemic (2013)The Lancet, Volume 381, Page S52
-
Journal Article, Academic JournalHealthy 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
-
Technical ReportSymptom recall and the diagnostic accuracy of verbal autopsies (2013)
-
Ph.D. ThesisThe use of crowdsourcing and the role of game mechanics in identifying erroneous disease burden estimates (2013)
-
Journal Article, Academic JournalPerformance 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
-
Journal Article, Academic JournalSimplified Symptom Pattern Method for verbal autopsy analysis: multisite validation study using clinical diagnostic gold standards (2011)Popul Health Metr, Volume 9, Page 30
Presentations
-
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