- Researching gradient-boosting techniques to develop a fairness-aware, intersectional boosting algorithm and minimize racial bias of suicide risk prediction models with Kaiser Permanente Washington Health Research Institute’s Biostatistics Division.- Conducting proprietary simulation studies to model and test the consequences of imbalanced outcomes upon racial bias and outcome misclassification of tree-based suicide risk models with R.

Mentors: Dr. Lindsay Williams and Dr. Lauren Mills- Implementing demographic analysis and survival modeling to study treatment and survival disparities in young, adult, and elderly patients with cancer in R. Population data accessed from the National Cancer Database (NCDB). Manuscript in preparation.- Integrating differential gene expression, penalized regression, and survival modeling to study sex-based disparities.- Routine technical manuscript writing and preparation.

Mentors: Dr. Kelsey Grinde, Dr. Logan Spector, Dr. Lindsay Williams, and Dr. Lauren Mills- Awarded NIH Diversity Supplement Grant (PA-16-288) for Dr. Spector’s R01 to study DNA methylation & causal mediation in pediatric B-ALL and to continue my own projects in 2021.- Performed demographic and differential gene expression analysis in 5 major pediatric cancers using TARGET datasets with R.- Confirmed evidence of survival differences by race & sex in 17 pediatric cancers using SEER datasets in R. Publication in press.- Independently scraped public data repositories and created an in-group directory using Python.- Presented research at the Electronic Undergraduate Statistics Research Conference 2020 and the Neuro-Oncology Symposium Conference 2021, University of Minnesota. - Invited panelist for a workshop for first-time conference attendees at GLBIO 2021.

- Helped instructors teach courses on Applied Multivariable Calculus (MATH 135), Introduction to Statistical Modeling (STAT 155), and Statistical Machine Learning (STAT 253).- Hosted twice-weekly office hours, graded, and worked intimately with students to develop their fluency in study design, statistical models, and machine learning in R. Also, proofread and revised final projects in RMarkdown.

- Acts as a senior student representative for 59 CGH concentrators and advocates for student needs to the academic board.- Organized and hosted academic panels and webinars and community outreach events to connect potential students with other CGH concentrators and CGH faculty.- Presented at community outreach events, lectures, and new student orientations to help guide CGH concentrators through the internship process.

Mentors: Dr. Kelsey Grinde, Dr. Logan Spector, Dr. Lindsay Williams, and Dr. Lauren Mills.- Using admixture methods and ancestral inference to identify the basis of major survival disparities in pediatric B-ALL using TARGET & PeCan datasets with R, RFMix, BASH, and Python. Publication in press.- Developing approaches to combine gene expression data with local and global genetic ancestry in admixed cohorts.- Awarded diversity scholarship to complete modules at the University of Washington Department of Biostatistics’s Summer Institute in Statistical Genetics. Certificates for "Bayesian Statistics for Genetics" and "Association Mapping: GWAS and Sequencing Data".- Awarded as the inaugural research fellow.

- Oversaw a FCC-syndicated radio station, as lead technical manager.- Maintained FCC radio standards, performed radio transmitter readings, and upkept the station’s U.S. Emergency Alert System.- Independently designed and implemented new training programs for beginning DJ’s.

- Worked as an office assistant, performing managerial and administrative work in the facilities services office- Helped handle the processing of extremely sensitive financial information and valuable materials.

- Managed student library accounts and fine management. - Helped patrons find, select, and check out texts relevant to their studies or areas of interest.