Amanda Makulec is a data visualization leader who has worked with clients across the federal, nonprofit, and private sectors for nearly 15 years. She is a sought after writer and speaker on health data visualization, including how to design effective health data graphics and how to build cross-functional data teams to support the analytical and dashboarding needs of a variety of different organizations.

Her work is informed by principles of user-centered design, agile software development, and a core belief in visualizing data responsibly, particularly when communicating health information that can be so personally impactful and designing analytical tools that inform decisions about access, delivery, and quality of health care services.

Her work developing, teaching about, and leading teams to create data visualizations has extended across more than a dozen countries both global and domestic public health, including leading workshops and webinars that have reached thousands of people and keynoting events including Chart Champ and Women in Tech Summits.

She serves as the Executive Director for the global Data Visualization Society and co-hosts the monthly Chart Chat podcast with the authors of the Big Book of Dashboards, with whom she is currently co-authoring a new book, Dashboards that Deliver, to be published by Wiley in 2025. She has also published articles in the New York Times, Fast Company, and Nightingale, The Journal of the Data Visualization Society.

Amanda has a BA in Zoology and Sociology from Miami University and her Masters of Public Health from Boston University, and serves as adjunct faculty at the Maryland Institute College of Art, where she co-designed and teaches the foundations course for the Data Visualization and Analytics masters program.

Amanda also guest lectures frequently in public health and analytics courses at schools that have included Boston University, George Washington University, New York University, Tufts University, and more.

You can find Amanda on LinkedIn where she posts about data viz, public health, and women in technology.