Jaylen Lee

Statistics Ph.D. Student · NSF-GRFP Fellow · University of California, Irvine · Donald Bren Hall, Office 2013 · jaylenl@uci.edu

I am a 4th year statistics PhD student at the University of California, Irvine. I am interested in Bayesian methods for statistical inference, graphical models for network inference, and explainable machine learning modeling. I am a member of the UCI/UCSC joint Space Time Modeling Group. My primary research is the application of Bayesian state-space models for time-varying inter-brain-region connectivity using fMRI data.

I’m committed to cultivating a diverse and respectful academic community. I serve as a member of the Diverse Educational Community and Doctoral Experience (DECADE) student body as both a department representative and as a Graduate Mentor to underrepresented undergraduates.

Experience

Data Science Intern

Genworth Mortgage Insurance

  • Developed analysis pipeline for loan level data using AWS Sagemaker.
  • Presented data driven evaluation of insurance pricing systems to pricing team leadership.
  • Led tutorial of black box model explainability techniques to analytics teams.

June 2020 - September 2020

Student Statistical Consultant

Harrisonburg Free Health Clinic

  • Evaluate the effectiveness of a new policy decision.
  • Clean and organize data for analysis.
  • Create graphs for communication of results using R.
  • Writing reports for clients.

September 2016 - December 2016

Teaching Assistant

University of California, Irvine

  • Hold weekly office hours and discussion hours.
  • Grading exams and discussion worksheets.
  • Substitute as lecturer as required.

September 2017 - December 2018

Education

University of California, Irvine - Irvine, CA.

Doctor of Philosophy, Statistics

GPA: 3.8

2017–Present

James Madison University - Harrisonburg, VA.

Bachelor of Science, Mathematics & Statistics

GPA: 3.39 GPA (3.46 Math GPA)

2014–2016

Thomas Nelson Community College - Hampton, VA.

Associate of Science, Mathematics
Phi Theta Kappa Member (Honor Society) - Magna Cum Laude (Honors)

3.67 GPA (4.00 Math GPA)

2013–2014

Skills

Programming Languages & Tools
  • Python
  • R
  • SAS
  • SQL
  • AWS Sagemaker
  • Stan

Recent Work

Publications

Dimension reduction of gene expression data

DNA methylation of specific dinucleotides has been shown to be strongly linked with tissue age. The goal of this research is to explore different analysis techniques for microarray data in order to create a more effective predictor of age from DNA methylation level …
PDF

Projects

Analysis of NBA shooting data to uncover the impact of the NBA bubble on scoring

I analyze the effect of the unique NBA quarantine environment, termed the NBA Bubble, on players' jump shooting performance. Using a hierarchical logistic regression framework, I estimate that the odds of a player making a shot are 5% higher in the bubble than outside, comparing shots of similar distance and difficulty. Given the average number of shots an NBA player takes during a game, this increase in shooting performance is neglible in terms of impact on games.

datagoboop: A package for data sonification

datagoboop is package for an audio alternative to data visualization: data sonification. We provide a series of functions for creatively sonifying your data and include sonified versions of the histogram, scatterplot, boxplot, and lm() diagnostics to help get you started!

Conferences, Awards & Recognitions

Awards, Honors, & Recognitions

  • 2019 NSF GRFP, UC Irvine.
  • 2016 Dean’s List, James Madison University.
  • 2016 Putnam Exam Official Team Member, James Madison University.
  • 2016 Pi Mu Epsilon, Virgina Gamma Chapter.

Conferences & Talks

  • Lamar University Colloquium Beaumont, TX. August 15th, 2016 -Dimension Reduction of Gene Expression Data : Undergraduate lecture.
  • Shenandoah Undergraduate Mathematics and Statistics (SUMS) Conference Harrisonburg, VA. September 24th, 2016 -Dimension Reduction of Gene Expression Data : 15 min presentation.
  • Research Experience for Undergraduates Symposium Arlington, VA. October 24th, 2016 -Dimension Reduction of Gene Expression Data : Poster Session.
  • 2016 Pi Mu Epsilon, Virgina Gamma Chapter.