About

I am an Assistant Teaching Professor in the Computer Science Department at Rice University. I teach databases and data science. Given my extensive industry experience, one of my key teaching goals is to bring real world data, applications, and challenges to the classroom.

I am particularly interested in multi-disciplinary approaches to using computational and machine learning techniques to make sense of biomedical data. I use time series data to predict outcomes. Specifically, I used patient monitoring data that doesn't have characteristic shapes (vital signs, intracranial pressure, etc.). It's an interesting problem since most existing methods for analyzing time series data leverage patterns in the data. So I took a different approach and using statistical properties of the data instead.

I completed my PhD in Computer Science at Rice University. My advisor was Chris Jermaine.

While at Rice I had a National Library of Medicine Fellowship. My collaborators include:

• Chris Jermaine, Professor, Department of Computer Science, Rice University

• John Frenzel, Chief Medical Information Officer and Professor, Department of Anesthesiology and Perioperative Medicine, MD Anderson Cancer Center

• Craig Rusin, Assistant Professor, Department of Pediatrics-Cardiology, Baylor College of Medicine

• Joseph Ruiz, Professor, Department of Anesthesiology and Perioperative Medicine, MD Anderson Cancer Center

• Joseph Nates, Professor, Department of Critical Care, MD Anderson Cancer Center

I have an SB in Computer Science and Engineering from MIT, MS degrees in Computer Science from Stanford University and Rice University and a certificate in Health Information Sciences from the University of Texas, Health Science Center School of Biomedical Informatics.

In October 2015, I participated in the ACM Student Research Competition at the Grace Hopper Celebration of Women conference in Houston, Texas. I placed first in the graduate student category. It was humbling to stand on stage in front of thousands of women in technology.