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I'm a data scientist, aspiring polymath, and passionately curious about the world.

I'm currently working in Fred Hutch's Data Commonwealth team, working to make data and analysis easily accessible to researchers. I build systems to empower researchers so they can find data faster, and speed up their research.

I'm a research scientist, data engineer and software developer. I have conducted hundreds of experiments, run dozens of critical systems, and worked in many industries.

I live in Seattle.


Category Notable Skills
Machine Learning    Deep neural networks, generative adversarial networks, reinforcement learning, recommendation systems, natural language processing, all of the most common algorithms
Statistics    Bayesian inference, causal inference, time series analysis, experimental design, cross validation
Programming    Python, R, SQL, Powershell, C#, data structures
Optimization   genetic algorithms, operations research
Distributed Processing    Spark, Redshift, Hadoop/Hive, Kafka, Cassandra, Tensorflow, Streamsets
Data Visualization    Tableau, Dremio, D3, Seaborn, Plotly, Altair, ggplot2, ggvis
Databases    SQL Server, PostgreSQL, Spanner, Redshift, BigQuery, Solr, Elasticsearch, Query tuning, dimensional modeling, ETL development
Infrastructure   Kubernetes, Docker, Zookeeper, Mesos, AWS, Google Cloud, Windows Azure, on-premise Windows & Linux
Software Development   Git, TFS, Agile development, Continuous integration


Date Company Title
2017-present    Fred Hutchinson Cancer Research Center
Data Engineer
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

Speaking & Publication History

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


Date Institution Degree or Certification
2013 University of Washington     Data Science Certificate
2005 University of Washington     Bachelor of Science in Informatics
Minor in Mathematics

The Long Tail

I work with many different tools, languages and frameworks. Here's what I've worked with recently.



Languages and Libraries

Data Stacks

Cloud Products


I have been working with data and statistics since 2005. Since then I have taught myself a large variety of skills to become a highly competent software engineer and data scientist.

I have also become proficient in many subject areas: online advertising, education, economics, music, cryptography, and much more.

I don’t have a specialty. I am passionately curious.