Tanvi is a second year PhD student in the Basin and Petroleum System Modeling Group. She received a BS from Cornell University in 2016 under a full scholarship, and during her undergraduate years published a paper in mineral physics, did field work in five countries, interpreted seismic data for methane hydrates and did natural language processing for a mobile operating system developer. During the PhD her internship at Statoil involved machine learning on well logs to find missed pay and her work at Chevron will use convoluted neural network to derive rock physics parameters from CT scans. Her PhD research aims to create a structured workflow for optimizing decision making under uncertainty in basin modeling. To quantify the uncertainty she uses data from Monte Carlo simulations of the basin model in Bayesian Network and uses influence diagrams for optimal decision computations.