Katherine Hoffman

Research Biostatistician I

Weill Cornell Medicine

Kat’s Stats

I am a Research Biostatistician at Weill Cornell Medicine in New York City who is passionate about meaningful, reproducible medical research. In addition to my research collaborations, I assist with multiple courses in WCM’s Biostatistics and Data Science MS program.

Outside of work I like to read, play sports, and travel. Prior to becoming a statistician, I cared for patients in the hospital as a nurse tech, played collegiate softball and coached high schoolers, and wrote a thesis on artists’ portrayal of mental illness.

Interests

Causal Inference
Data Visualization
Statistics Education

Education

MS in Biostatistics, 2018

University of Michigan
BS in Biochemistry, 2015

University of Detroit Mercy

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:

Alzheimer’s Disease prevention with WCM neurologist Dr. Lisa Mosconi
Pulmonary diseases and ICU outcomes with WCM’s Division of Pulmonary and Critical Care Medicine

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.