Nicole Chiou is a second-year Ph.D. student at Stanford, advised by Sanmi Koyejo. Her research interests span the areas of causal inference, machine learning, and applications in healthcare and neuroscience. Recently, her work has focused on adapting to distribution shifts using richly annotated datasets. In her free time, she enjoys obstacle course racing, running, and playing the piano.
Nicole received her B.S. in Bioengineering (‘20) and M.S. in Robotics (‘21) from the University of Pennsylvania. She conducted her master’s thesis on the discrimination of cardiac arrhythmias in implantable devices using transfer learning with additional auxiliary labels, under the supervision of Rahul Mangharam (EE) and Eric Eaton (CS).