I received my BA in psychology in 2002 from Wesleyan University, MPH in Epidemiology & Biostatistics in 2007 and PhD in Biostatistics with a Designated Emphasis in Genomic & Computational Biology from UC Berkeley. My PhD adviser was Dr. Alan Hubbard and I worked in the lab of Dr. Lisa Barcellos studying machine learning methods for genome wide association studies.

In 2011 I joined the newly formed Quantitative Sciences Unit in the Department of Medicine at Stanford University. I worked as a collaborative biostatistcian on a range of clinical projects. Through this work I developed an interest in the use of Electronic Health Records. Under the primary mentorship of Dr. Wolfgang Winkelmayer I received an NIH K25 career development award focused on the use of EHR to develop clinical risk models.

In 2014 I joined the faculty of Duke University in the Department of Biostatistics and Bioinformatics as well as the Duke Clinical Research Institute. I was one of the original members of the DCRI Center for Predictive Medicine.  In 2018 I was named the Data Science Lead for the newly formed Children’s Health & Discovery Initiative. In 2019 I was appointed Associate Professor of Biostatistis and Bioinformatics.

My research focuses on the meaningful use of EHRs both for the purpose of risk prediction and causal inference and sits at the intersection of biostatistics, informatics and epidemiology. I work closely with members of Duke University Medical Center to help develop risk models and alert systems to implement within the hospital. I also collaborates with clinical researchers and other methodologists on projects related to the EHRs.

In my free time I enjoy spending time with my two boys: Malcolm and Noah. I always look for opportunities to travel and explore new parts of the world.

Curriculum Vitae