About Me

In 2018, I completed my doctorate at The University of Texas at Austin in the Computational Sciences, Engineering, and Mathematics program where I worked with Joydeep Ghosh at the Intelligent Data Exploration and Analysis Lab. In my doctoral research, I developed machine learning techniques to tackle healthcare challenges. Specifically, my research uses nonnegative tensor factorization to extract phenotypes from electronic health record (EHR) data in a high-throughput manner. We have also developed tools to explore the validity of these phenotypes.

After graduating, I turned my focus to fairness, explainability, and accountability in Machine Learning. I am currently a Senior Machine Learning Research Scientist at CognitiveScale where I lead the responsible AI/ML research effort. I have worked on many different aspects of responsible AI but some of my favorite projects have been developing practical approaches for checking for fairness; building trust in models through intuitive explanations; and monitoring models once in production. My overarching goal is to develop methods that are accessible to both technical and non-technical stakeholders.

I came to mathematics and computer science by a circuitous route through comparative literature and chemistry. I have had an odd assortment of jobs and educational experiences (see CV) that finally led me to machine learning. Now that I'm here, there's no place I'd rather be.

I am enthusiastic about puns and am the author of the now-defunct web comic called twistedpencil, a venue that fused my love of poorly drawn hand puppets, wordplay, and mathematics. Like many people, I love traveling, reading, and food (making and eating) with a healthy dose of hiking, running, stretching, biking, and generally not sitting still.

Education

Publications