Eric Nalisnick is an assistant professor at Johns Hopkins University. His research interests span statistical machine learning and probabilistic modeling, with an emphasis on human-in-the-loop learning, specifying prior knowledge, detecting distribution shift, and quantifying uncertainty in deep learning. He previously was an assistant professor at the University of Amsterdam, a postdoctoral researcher at the University of Cambridge and a PhD student at the University of California, Irvine. Eric has also held research positions at DeepMind, Microsoft, Twitter, and Amazon.