J. Christopher Bare

Data Engineer at Volpara Health
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Contact Information
us****@****om
(386) 825-5501
Location
Wellington, Wellington Region, New Zealand, NZ
Languages
  • English -

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Bio

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Credentials

  • Deep Learning Specialization
    Coursera
    Feb, 2019
    - Nov, 2024
  • Building The Data Pipeline (Jason Kolter)
    University of Washington
    Jan, 2017
    - Nov, 2024
  • Scalable Machine Learning (Ameet Talwalkar)
    edX
    Jul, 2015
    - Nov, 2024
  • Introduction to Big Data with Apache Spark (Anthony D. Joseph)
    edX
    Jun, 2015
    - Nov, 2024
  • Functional Programming in Haskell (Erik Meijer)
    edX
    Jan, 2015
    - Nov, 2024
  • Statistical Learning (Trevor Hastie & Rob Tibshirani)
    Stanford University
    Apr, 2014
    - Nov, 2024
  • Data Analysis (Jeffrey Leek)
    Coursera
    Apr, 2013
    - Nov, 2024
  • Functional Programming Principles in Scala (Martin Odersky)
    Coursera
    Nov, 2012
    - Nov, 2024
  • Probabilistic Graphical Models (Daphne Koller)
    Coursera
    Mar, 2012
    - Nov, 2024
  • Machine Learning (Andrew Ng)
    Stanford University
    Dec, 2011
    - Nov, 2024

Experience

    • New Zealand
    • Hospitals and Health Care
    • 100 - 200 Employee
    • Data Engineer
      • Mar 2021 - Present

      Clinically validated, AI-powered software for personalized screening and early detection of breast cancer. Clinically validated, AI-powered software for personalized screening and early detection of breast cancer.

    • United States
    • Software Development
    • 1 - 100 Employee
    • Senior Software Engineer
      • Sep 2019 - Aug 2020

      Applying machine learning / NLP to on-demand text-based primary care medicine. Applying machine learning / NLP to on-demand text-based primary care medicine.

  • Arivale
    • Greater Seattle Area
    • Senior Software Engineer
      • Feb 2017 - May 2019

      Building software to help individuals optimize health, focusing on data pipelines that deliver insights from research into production. • Contributed to a health and wellness software platform integrating data from genetics, blood, microbiome, diet and activity. (Python, PostgreSQL, AWS, React) • Worked with clinicians and researchers on a machine learning pipeline to make health recommendations based on genetics, lifestyle and blood analytes. (Python, pandas, scikit­learn, AWS) • Maintained a system for ingesting data from vendors, coaches and members that delivered a daily snapshot of cleaned, normalized and batch­corrected data to researchers. (R, data.table, Python, pandas, numpy, PostgreSQL, AWS) • Built relational schema, RESTful API and autocompleting UI to collect medication and supplement usage. (Python, PostgreSQL, AWS, React) Show less

    • United States
    • Biotechnology Research
    • 1 - 100 Employee
    • Senior Software Engineer
      • Aug 2012 - Aug 2016

      Building software for open data-intensive science. • Developed client libraries in Python and R for accessing the Synapse data sharing platform via REST API. • Developed code to manage predictive modeling and machine learning competitions on biomedical research questions as part of the DREAM challenges organization. (Python, R) • Scaled a statistical methods analysis to 300 AWS spot instances. (R, glmnet, Redis, AWS) • Helped scientists use Synapse, source code repositories and cloud infrastructure for open and reproducible research. Show less

    • Biotechnology Research
    • 100 - 200 Employee
    • Software Engineer
      • Jun 2006 - Jul 2012

      Developing software tools for visualization, analysis and integration of biological data. Developing software tools for visualization, analysis and integration of biological data.

    • Singapore
    • Internet Publishing
    • 100 - 200 Employee
    • Software Developer
      • Sep 2005 - Mar 2006

      Application integration using Java and XML Application integration using Java and XML

    • Software Developer
      • 2005 - 2005

    • Software Developer
      • 2000 - 2002

      Developed social web applications using Java and SQL Developed social web applications using Java and SQL

    • United States
    • Biotechnology
    • 1 - 100 Employee
    • Software developer
      • 2000 - 2000

      Web development on life science research applications Web development on life science research applications

    • United States
    • Pharmaceutical Manufacturing
    • 700 & Above Employee
    • Software developer
      • 1995 - 1998

Education

  • University of Washington
    M.S., Computer Science
    2004 - 2007
  • Penn State University
    B.S., Mathematical Science

Community

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