I am a data nerd, and this is where I share my data adventures, covering topics I can write about publicly. Analytic projects I can’t write about publicly include health data collected with personal identifiers, with datasets and code containing sensitive information. If you are interested in that work, click on the publications link in the sidebar (you won’t find code or datasets associated with these projects).

highlights of recent work:

I built a mental health syndromic surveillance system that signals when there are changes in emergency department visit patterns for suicidal behavior visits, and presented on it at the New York State Suicide Prevention Conference here. I’ve also written about what suicide deaths look like in New York City, how that has changed since 2000, and how these deaths are different from suicide deaths in the rest of the United States here and here.

I’ve taught R programming to analysts working for NYC (nearly 150 analysts over the course of a year), explaining the nuts and bolts of R programming, demonstrating how to conduct exploratory data analysis, teaching data visualization and functional programming. I’ve also assisted teaching first-year graduate students about categorical data analysis, SAS programming, and quantitative foundations of biostatistics and epidemiology.


  • MPH in Epidemiology, Columbia University Mailman School of Public Health
  • BS in Genetics and Plant Biology, University of California, Berkeley

    things I love:

  • turtles
  • SF Giants baseball
  • food (airplane and otherwise)

  • I also read books about data with R-Ladies NYC, play outfield and keep score for the Prospect Park Women’s Softball League, and drink whiskey with Women Who Whiskey.

    This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.