# Alicia Schep > Software Engineer Location: El Cerrito, California, United States Profile: https://flows.cv/aliciaschep I have worked as a software engineer and as a data scientist after being first trained as a scientist and getting a PhD in genetics. I love building things, experimenting, learning new fields, and collaborating with people with a variety of backgrounds and skills. ## Work Experience ### Staff Software Engineer @ Gusto Jan 2026 – Present ### Principal Engineer @ Brightline Jan 2022 – Jan 2026 Full-stack web development, building out features like coach matching, care recommendations, and scheduling tools. ### Principal Data Scientist @ Brightline Jan 2022 – Jan 2022 ### Senior Data Scientist @ Brightline Jan 2021 – Jan 2022 As second data scientist, set up a lot of Brightline's data infrastructure, including data extractions using Stitch, Snowpipe, and custom jobs, transformations in Snowflake via DBT, and visualizations in Mode. Helped the business gain visibility on key metrics across care operations, growth, and member experience. Partnered extensively with the engineering team on setting up analytics tracking and collaborated with stakeholders across the company. ### Senior Data Scientist @ Outlier AI Jan 2019 – Jan 2021 | Oakland, CA Research, prototyping, and productionalization of automated methods for extracting and prioritizing insights from business data. Algorithms implemented included: automatic holiday detection, improvements to modeling of annual seasonality, detecting "launches" and finding comparable benchmark launches, clustering of insights across data sources, and improvements to feed ranking. Also contributed substantial performance optimizations, improving speed of key bottlenecks in data processing steps up to 100-fold. ### Senior Data Scientist @ Livongo Jan 2018 – Jan 2019 Built data pipeline & models for recommending messages with health-related suggestions to members based on previous interactions & blood glucose data. Also led an effort to automate and optimize a pipeline for generating custom reports per client, decreasing the time to generate the reports by over 10x ### Data Scientist @ Livongo Jan 2017 – Jan 2018 Modeling member lifecycle (activation, churn); planning & analysis for experiments to promote product usage ### Bioinformatics Intern @ Genentech Jan 2016 – Jan 2017 | San Francisco Bay Area Developed tools for creating interactive visualizations linking multiple high dimensional genomic data sets. As part of this project, created the iheatmapr R package for complex, interactive heatmaps. ### Data Science Fellow @ Insight Data Science Jan 2017 – Jan 2017 | Palo Alto, CA Fellowship to transition from PhD to a data science position in industry. Developed a recommendation model for suggesting additional R software packages to consider using based on input package(s). Wrote and deployed shiny app to serve model. ### Computational Genomics Research (PhD Student) @ Stanford University Jan 2012 – Jan 2017 | Greenleaf Lab Developed a method for inferring transcription binding variation from sparse single cell ATAC-seq data; implemented as an R package called chromVAR. I also designed a new algorithm for determining nucleosome positions using bulk, deeply-sequenced ATAC­-Seq that leverages fragment positions and sizes from paired-end data. I implemented this algorithm as a python package called NucleoATAC. ### Python for Biologists Teaching Assistant @ Stanford University Jan 2015 – Jan 2015 Led a weekly section in which students worked through problems in biology (e.g. parsing DNA sequences, modeling cellular dynamics, analyzing health metrics associated with heart disease) using Python. ### MPhil Research @ University of Cambridge Jan 2012 – Jan 2012 | Adryan Lab I compared expression patterns of transcription factors during embryonic development in a diverse group of species using in situ hybridization, microarray, and RNA-­seq data. ### Undergraduate Senior Thesis Research @ Harvey Mudd College Jan 2010 – Jan 2011 | Stoebel Lab I built strains of Escherichia coli in which it was possible to manipulate RpoS expression levels in order to enable studies on the effects of quantitative variation in RpoS on RpoS-dependent gene expression. I was awarded the “Outstanding Senior Thesis Award in Biology” by the Harvey Mudd College Biology department. ### Senior Biology Writing Fellow @ Harvey Mudd College Jan 2010 – Jan 2011 I helped students with writing assignments, lab reports, and presentations for biology courses at Harvey Mudd College. ### Writing Center Consultant @ Harvey Mudd College Jan 2008 – Jan 2011 I helped students with writing assignments across a variety of disciplines in one-on-one consultations. I planned and organized workshops to teach students about topics in writing. I attended and presented at conferences on writing pedagogy. ## Education ### Doctor of Philosophy (PhD) in Genetics Stanford University ### Master of Philosophy (MPhil) in Computational Biology University of Cambridge ### Bachelor's Degree in Chemistry and Biology Harvey Mudd College ## Contact & Social - LinkedIn: https://linkedin.com/in/aliciaschep - Portfolio: http://www.aliciaschep.com/ - GitHub: https://github.com/AliciaSchep - Portfolio: https://scholar.google.com/citations?hl=en&user=8VWyFLsAAAAJ --- Source: https://flows.cv/aliciaschep JSON Resume: https://flows.cv/aliciaschep/resume.json Last updated: 2026-04-12