About

I am a PhD candidate at the University of Massachusetts Amherst in the College of Information and Computer Science. I work with Dr. Hong Yu in the Bio-NLP group. 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. I received my bachelor's degree in IT Management from Universty of Notre Dame, with a minor in Irish Language & Literature.

Updates

  1. November 2018: Successfully defended my Ph.D. thesis proposal
  2. October 2018: Our latest paper using the ComprehENotes test was accepted for publication by the Journal of Medical Internet Research
  3. October 2018: Talk at Notre Dame Mendoza College of Business
  4. August 2018: One paper accepted to EMNLP 2018
  5. August 2018: Two papers accepted to the UAI Uncertainty in Deep Learning workshop
  6. Summer 2018: Internship with the Amazon Alexa team in Cambridge, MA
  7. February 2018: Our paper ComprehENotes: Development and Validation of an Instrument to Assess Patient EHR Note Reading Comprehension was accepted for publication by the Journal of Medical Internet Research
  8. January 2018: I presented at the first Northern Lights Deep Learning Workshop in Tromso, Norway
  9. December 2017: I passed the CICS Portfolio and am now a PhD candidate
  10. November 2017: I attended the AMIA Annual Symposium presenting our podium abstract on a new test of Electronic Health Record note comprehension

Teaching

Fall 2018 FYS: Artificial Intelligence and Healthcare

Publications

Posters and Abstracts

Projects

Below are a few projects that I've worked on, either as part of a class project or on my own time.