Adrian Barbu received a Ph.D. in Mathematics in 2000 from Ohio State University and a Ph.D. in Computer Science in 2005 from the University of California, Los Angeles. From 2005 to 2007, he worked in Siemens Corporate Research, first as a research scientist and later as a project manager, with a focus on medical imaging. He received the 2011 Thomas A. Edison Patent Award with his Siemens coauthors for their work on Marginal Space Learning. In 2007, he joined the Statistics Department at Florida State University as an assistant professor, and since 2019, he has been a professor. He has published more than 80 papers in computer vision, machine learning and medical imaging, and has more than 25 patents related to medical imaging and image denoising. In 2020, he published a Springer book on 'Monte Carlo Methods' with his Ph.D. advisor, Dr. Song-Chun Zhu.