Nicole completed a Ph.D. in Computer Science at the University of Oregon in February 2022. Prior to joining UO, she received a B.S. in Pure and Applied Mathematics from the University of Oregon. During her time in the CDUX group, Nicole was funded by the Department of Energy's Exascale Computing Project, as well as internships at Oak Ridge and Lawrence Berkeley. She initially focused on in situ infrastructures and in situ compression. For her dissertation work, she moved towards automated decision making in an in situ setting, and specifically automating camera placement when there is no human in the loop. To carry out this research, she had many thrusts: running a user study to determine human preferences, determining viewpoint quality matrics that match these preferences, designing efficient algorithms to calculate these metrics on supercomputers, and finally designing methods that can efficiently search through possible camera positions using these metrics. Nicole accepted a full-time staff position at Lawrence Livermore upon graduation.