Thomas Miano

Research Data Scientist


  • MS, Data Science, University of Virginia
  • BA, Political Philosophy, Policy, & Law, University of Virginia
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Thom Miano is a Research Data Scientist in RTI’s Center for Data Science. He uses his expertise in machine learning, software development, and data visualization to help subject matter experts solve complex problems at the intersection of health care, public health, social science, and policy. Mr. Miano’s technical foci are computer vision and natural language processing. His research interests include machine perception, human-computer interaction, and visualization.

Mr. Miano has a rich interdisciplinary background and a complementary range of experiences. He was a 2018 cohort member in the Assembly program at Harvard’s Berkman Klein Center and the MIT Media Lab, where he investigated policy concerns and implications of applied machine learning and where he collaborated with a team to build a tool for tricking face detection systems. Mr. Miano led a team of software engineers and data scientists in building aerosol imaging software for the evaluation of protective garments. He has published research on natural language processing approaches for classifying users on Twitter, and he has presented research on the classification of environmental sounds using out-of-domain transfer learning with computer vision deep learning models. His recent federal clients include the National Institute of Health, the Department of Defense, the Department of Justice, and the Center for Disease Control and Prevention. He has also done work for private companies.

Prior to joining RTI, Mr. Miano co-founded and operated a think tank and management consulting company, Stim Space. He also spent a year volunteering in Washington, D.C., in the AmeriCorps program City Year, where he taught math and science to sixth graders.