Twitter | LinkedIn | GitHub | Google Scholar
I’m a data scientist, aspiring polymath, and passionately curious about the world.
I’m currently working in Fred Hutch’s Data Core and Data Viz teams. I build systems to empower scientists, enabling and accelerating the pace of research.
I’m a data scientist, data engineer, and jack-of-all-trades developer.
I live in Seattle.
Category | Notable Skills |
---|---|
Machine Learning | Deep neural networks, generative adversarial networks, reinforcement learning, recommendation systems, natural language processing, all the common algorithms |
Bioinformatics | Galaxy, Bioconductor, FastQC, BWA, BLAST, GATK, MultiQC, Biopython, Scanpy, Seurat, Monocle, Cellranger, Kallisto/kb, STAR |
Programming | Python, R, SQL, C#, Java, Bash |
Infrastructure | Kubernetes, Docker, Terraform, AWS, Google Cloud, Linux, Windows |
Databases and storage | PostgreSQL, MySQL, SQL Server, Redshift, BigQuery, Solr, Elasticsearch, ETL development, Query tuning, dimensional modeling |
Distributed Processing | Spark, Redshift, Hadoop/Hive, Kafka, Tensorflow |
Data Visualization | Tableau, D3, Seaborn, Plotly, Altair, R tidyverse |
Software Engineering | Git, CI/CD, Agile development |
Statistics | Bayesian inference, causal inference, time series analysis, experimental design, cross validation |
Optimization | genetic algorithms, operations research |
Date | Company | Title |
---|---|---|
2017-present | Fred Hutchinson Cancer Research Center |
Principal Data Engineer |
2019-present | Seattle University |
Advisory Board, Data Science Master’s Program |
2014-present | University of Washington |
Advisory Board, Data Engineering Certificate Program |
2012-2017 | University of Washington |
Data Scientist |
2014-2017 | University of Washington |
Advisory Board, Data Science Certificate Program |
2007-2012 | Microsoft Redmond WA |
Senior Software Developer Engineer Software Development Engineer 2 |
International Educational Data Mining Society | Increasing Enrollment by Optimizing Scholarship Allocations Using Machine Learning and Genetic Algorithms |
Machine Learning for Education | Using Machine Learning and Genetic Algorithms to Optimize Scholarship Allocation for Student Yield |
International Educational Data Mining Society | Mining University Registrar Records to Predict First-Year Undergraduate Attrition |
AIR 2017 |
Using Predictive Analytics to Guide Financial Aid Decisions |
AIR 2016 |
Using Predictive Analytics to Guide Retention Interventions |
HEDW 2016 |
Data Science for Student Success |
|
Using Data to Make Decisions |
Agile Database Development | |
Machine Learning for Mere Mortals |
Institution | Degree or Certification |
---|---|
University of Washington | Data Science Certificate |
University of Washington | Bachelor of Science in Informatics Minor in Mathematics |
I have been working with data and math my entire career. I’ve learned a large variety of skills to become a highly competent data scientist, software developer, and engineering team lead.
I have also become proficient in many subject areas: education, cancer biology, economics, music, online advertising, cryptography, and more.
I don’t have a specialty. I am passionately curious.