Research Experience

 
 
 
 
 

Research Biostatistician I

Weill Cornell Medicine

Aug 2018 – Present New York, NY

Responsibilities:

  • Assisting researchers with study design and data collection
  • Managing and querying databases
  • Model fitting and testing
  • Visualizing data and analysis results
  • Writing methods and results sections for manuscripts

Current collaborations:

Additional roles:

  • Teaching Assistant for WCM’s Biostatistics and Data Science MS courses:

    • Data Science I
    • Biostatistics II
    • Causal Inference
  • Contributor to WCM Biostatistics Computing Club

 
 
 
 
 

Graduate Student Research Assistant

University of Michigan

Sep 2016 – Apr 2018 Ann Arbor, Michigan

Dr. Peter Song’s Biostatistics Lab

  • Set up, maintained, and descriptively analyzed a national database on air pollution and renal failure incidence at the U.S. county level in preparation for a longitudinal geospatial association study.

Dr. Jeffrey Kidd’s Computational Biology Lab

  • Executed and evaluated methods for detecting chromosomal inversions in the dog genome e.g. pooled clone sequencing abnormalities, SNP linkage disequilibrium decay irregularities, and principal component analysis.

Dr. Monica Dus’ Neuroscience and Epigenetics Lab

  • Created pipelines in R for neuroscience researchers to clean, summarize, and create visualizations of their large data sets of Drosophila feeding behaviors and neuronal imaging patterns.

Recent Blog Posts

I am a biostatistician at a research university, and I often find myself working with longitudinal survival data. As with any data …

Earlier this year I wrote my first blog post, “A Day in the Life of a Biostatistician,” documenting the granular details of my work as …

In early May I attended the New York R Conference. There were 24 speakers, including my coworker at Weill Cornell Medicine, Elizabeth …

It seems fitting that my first blog post is on a topic that I tried and failed to find via Google search a few years ago. I’ll back up …

Recent & Upcoming Talks

Using sl3 to build ensemble learning models in R

An introduction to coding power simulations in R

ASA Joint Statistical Meeting 2019

R Projects and here::here()

Projects

Discovering Biostatistics and its Broad Applications

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