Victoria is a Ph.D. student in the Department of Statistics at Carnegie Mellon University. Her research interests include multimodal behavior analysis, causal inference for high-dimensional and complex longitudinal data, and applications in mental health and medical diagnostics. She is currently working on topics in uncertainty quantification, particularly subjectivity uncertainty, and on how to leverage uncertainty to improve performance on downstream tasks. Prior to joining CMU, Victoria was a researcher in the Program for Causal Inference at the Harvard School of Public Health. She received her M.S. in data science from CMU and her joint A.B. in statistics and in molecular and cellular biology from Harvard University.