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Formalities
I’m a data scientist, aspiring polymath, and passionately curious about the world.
I’m currently the founder & CEO of Frugal Health, a micro-SaaS company aimed at improving health & nutrition while reducing food waste.
I have also worked as a data engineer doing bioinformatics work, a data scientist studying student behavior, a database engineer doing online search, and much more.
I live in Seattle.
Skills
| Category | Notable Skills |
|---|---|
| Programming | Python, R, SQL, Bash |
| Machine Learning | Deep neural networks, generative adversarial networks, reinforcement learning, recommendation systems, natural language processing, AutoML |
| Infrastructure | Kubernetes, Docker, Terraform, Amazon Web Services (extensive), Google Cloud, Linux, Windows, Mac OS |
| Databases and storage | Databricks, PostgreSQL, MySQL, SQL Server, Redshift, BigQuery, Solr, ElasticSearch, ETL development, Query tuning, dimensional modeling |
| Distributed Processing & Workflows | Spark, Kafka, Tensorflow, Nextflow, WDL, Airflow, Snakemake |
| Data Visualization | Tableau, D3, Seaborn, Plotly, Vega-Altair, ggplot |
| Software Engineering | Git, CI/CD, Agile development |
| Statistics | Bayesian inference, causal inference, time series analysis, experimental design, cross validation |
| Optimization | genetic algorithms, operations research |
| Bioinformatics | Galaxy, Bioconductor, FastQC, BWA, BLAST, GATK, MultiQC, Biopython, Scanpy, Seurat, Monocle, Cellranger, Kallisto/kb, STAR |
Employment
| Date | Company | Title |
|---|---|---|
| 2022-present | Frugal Health Inc, a micro-SaaS company |
Founder & CEO |
| 2017-2022 | Fred Hutchinson Cancer Research Center |
Principal Data Engineer |
| 2019-2023 | Seattle University |
Advisory Board, Data Science Master’s Program |
| 2014-2023 | 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 |
Speaking & Publication History
| 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 |
Education
| Institution | Degree or Certification |
|---|---|
| University of Washington | Data Science Certificate |
| University of Washington | Bachelor of Science in Informatics Minor in Mathematics |
Informalities
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.