I’m a data scientist, aspiring polymath, and passionately curious about the world.
I’m a data scientist, data engineer, and jack-of-all-trades developer.
I live in Seattle.
|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
|2017-present||Fred Hutchinson Cancer Research Center
||Principal Data Engineer|
||Advisory Board, Data Science Master’s Program|
|2014-present||University of Washington
||Advisory Board, Data Engineering Certificate Program|
|2012-2017||University of Washington
|2014-2017||University of Washington
||Advisory Board, Data Science Certificate Program|
|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.