I am an Assistant Professor at the Mendoza College of Business at the University of Notre Dame. I recently defended my Ph.D. dissertation at the University of Massachusetts Amherst in the College of Information and Computer Science. At UMass I was a member of the Bio-NLP group, working with Dr. Hong Yu. My research interests are in Machine Learning and Natural Language Processing. I am particularly interested in model evaluation and quantifying uncertainty, as well as applications in biomedical informatics.
Prior to UMass, I worked as a software developer at Eze Software in Chicago and as an IT Audit Associate for KPMG. I received my Master’s Degree in Computer Science at DePaul University, where I worked on projects in Computer Science Education and Recommender Systems.
- October 2020: An Empirical Analysis of Human-Bot Interaction on Reddit accepted at the 2020 Workshop on Noisy User-generated Text.
- September 2020: Towards Measuring Algorithmic Interpretability accepted at the 2020 INFORMS Workshop on Data Science.
- September 2020: Dynamic Data Selection for Curriculum Learning via Ability Estimation accepted to appear in Findings of EMNLP.
- February 2020: Our abstract Bots versus Humans in Online Social Networks: A Study of Reddit Communities was accepted to Sunbelt 2020.
- November 2019: I successfully defended my Ph.D. dissertation, “Learning Latent Characteristics of Data and Models using Item Response Theory.”
- September 2019: Efficient Semi-Supervised Learning for Natural Language Understanding by Optimizing Diversity accepted to appear at ASRU 2019