VP, Applied AI / ML Lead
Using advanced statistics and machine learning, I build models to help business partners answer critical questions, drive decisions, and improve results for Chase Bank, serving over 63 million U.S. households, including 4 million small businesses.
For five years, I led development and analysis of the Trig Academy, an online educational platform that I created with Prof. Jay McClelland at Stanford University after we obtained a $1.5 million grant from the U.S. Department of Education. I developed interactive trigonometry lessons, designed behavioral assessments, deployed cloud-based solutions, manipulated structured and unstructured data, and used R and Python to understand relationships with visualizations and advanced statistical models.
Ph.D. in Cognitive Psychology
As part of the Parallel Distributed Processing Lab, under the supervision of Prof. Jay McClelland, I introduced trigonometry as a domain to investigate the role of rules and visuospatial structures in mathematical reasoning. Both behavioral experiments and neural network models were useful to understand these mental representations. As a TA, I taught statistic classes at the undergraduate, first-year graduate and advanced graduate levels. I also worked as a statistics consultant for graduate students in the psychology department, and served as an instructor for an R bootcamp. I was funded by a National Science Foundation Graduate Research Fellowship.
B.A. in Cognitive Science and Philosophy
I created my own major in Cognitive Science, several years before Notre Dame introduced an interdisciplinary major in Neuroscience and Behavior. My diverse research experiences included conducting behavioral experiments in spatial language and navigation (University of Notre Dame), building a neural network model of adaptive decision-making (Carnegie Mellon University), and studying social cognition and economic decision-making in capuchin monkeys (Yale University).