Kyle Lafata

Radiation Oncology

Thaddeus V. Samulski Assistant Professor of Radiation Oncology

Kyle Lafata Profile Photo
Kyle Lafata Profile Photo


Kyle Lafata is the Thaddeus V. Samulski Assistant Professor at Duke University in the Departments of Radiation Oncology, Radiology, Medical Physics, and Electrical & Computer Engineering. After earning his PhD in Medical Physics in 2018, he completed postdoctoral training at the U.S. Department of Veterans Affairs in the Big Data Scientist Training Enhancement Program. Prof. Lafata has broad expertise in imaging science, digital pathology, computer vision, biophysics, and applied mathematics. His dissertation work focused on the applied analysis of stochastic differential equations and high-dimensional radiomic phenotyping, where he developed physics-based computational methods and soft-computing paradigms to interrogate images. These included stochastic modeling, self-organization, and quantum machine learning (i.e., an emerging branch of research that explores the methodological and structural similarities between quantum systems and learning systems). 

Prof. Lafata has worked in various areas of computational medicine and biology, resulting in 39 peer-reviewed journal publications, 15 invited talks, and more than 50 national conference presentations. At Duke, the Lafata Lab focuses on the theory, development, and application of multiscale computational biomarkers. Using computational and mathematical methods, they study the appearance and behavior of disease across different physical length-scales (i.e., radiomics ~10−3 m, pathomics ~10−6 m, and genomics ~10−9 m) and time-scales (e.g., the natural history of disease, response to treatment). The overarching goal of the lab is to develop and apply new technology that transforms imaging into basic science findings and computational biomarker discovery.


  • Ph.D. Duke University, 2018
  • C. Duke University, 2018
  • Duke University School of Medicine, 2020


  • Thaddeus V. Samulski Assistant Professor of Radiation Oncology
  • Associate Professor of Radiation Oncology
  • Assistant Professor in Radiology
  • Assistant Professor in the Department of Electrical and Computer Engineering
  • Assistant Professor of Pathology
  • Member of the Duke Cancer Institute

Courses Taught

  • ECE 392: Projects in Electrical and Computer Engineering
  • ECE 493: Projects in Electrical and Computer Engineering
  • ECE 494: Projects in Electrical and Computer Engineering
  • ECE 891: Internship
  • MEDPHY 507: Radiation Biology
  • MEDPHY 791: Independent Study in Medical Physics