Thesis Defense – MIT Chemical Engineering

Integrated, Single-cell Analysis of Transcriptional Phenotype and Clonotypic Identity

Nanoemulsion-Loaded Hydrogels for Advanced Pharmaceutical Formulations

Voltammetric Methods Augmented with Physical Models and Statistical Inference

Investigations in Message Passing Neural Networks and Polymer Fouling

Toward Quantitative Understanding of Compartmentalized NADPH Metabolism in Cancer Cells

Physical Models and Statistical Methods for Understanding Electrochemical Kinetics

An Affinity Threshold for Maximum Efficacy in Anti-PD-1 Cancer Immunotherapy

Automatic Generation and Analysis of Chemical Kinetic Mechanisms

Bringing Redox Flow Batteries to the Grid: Techno-economic Modeling for Chemistry-Informed Design of Redox Flow Batteries

Automated Execution and Optimization of Flow Chemistry on a Robotic Platform with Integrated Analytics