(EXAMPLE) I'm a Master's Student in Biostatistics at the University of Washington. I have a Bachelor's degree in mathematics from Pomona College. My past experiences include an internship at Genentech where I developed and employed methodology for differential gene expression testing using paraffin embedded tissue; as well as a collaborative experience with the Therapeutics Development Network supporting the design of randomized interventional trials for cystic fibrosis.
I am broadly interested in Biostatistics and Data Science, and enjoy the process of engaging domain science, statistical models and programmatic data analysis.
For more information about me, please check out my resume, or reach out via email or linkedin.
email-account@uw.edu
Biostatistics Master's Student
University of Washington
Projects
Differential expression analysis with paraffin embedded (FFPE) tissue- Developed methods and software (in R) to calculate gene expression from probe-level microarray data using FFPE tissue samples.
- Collaborated with biomarker scientists and employed this method/software to identify differentially expressed genes in breast tumor tissue (as compared to healthy control tissue).
- Developed a simulation study to compare ML methods for predicting survival outcome.
- Wrote parallelized code (and deployed on AWS EC2) to efficiently run simulation study.
- Developed R/C++ code for efficiently fitting penalized conditional logistic regression.
- Applied this to a novel dataset with ~2.5k competitors and ~8k matches to identify top competitors.
- Empirically explored the impact of tuning parameter selection in this problem.