Nick Konz

I’m a Ph.D. candidate studying machine learning at Duke University under Prof. Maciej Mazurowski. My current research is in deep learning for medical image analysis; mainly domain adaptation, image translation and generation, and anomaly detection.

I’m also drawn to the intersection of ML and science: understanding deep learning from a scientific perspective, and the use of DL for scientific modeling & discovery and science-adjacent fields. I have also worked as a research intern in the Math, Stats, and Data Science Group at PNNL.

See my Google Scholar page for a full list of my publications, with a few recent papers highlighted in the section below.

My undergraduate degree was a double major in physics and mathematics at the University of North Carolina at Chapel Hill, where my research with Prof. Daniel Reichart was in statistical techniques for astronomy. I have been an educator in machine learning, physics, math and astronomy in the academic setting and beyond.