J. Christopher Bare

J. Christopher Bare has a diverse work experience in the field of software engineering and data analysis. J. Christopher is currently a Data Engineer at Volpara Health since March 2021. Prior to this, they worked as a Senior Software Engineer at 98point6 Inc. from September 2019 to August 2020.

From 2017 to 2019, Christopher worked as a Senior Software Engineer at Arivale, where they focused on building software to optimize health and develop data pipelines. J. Christopher contributed to a health and wellness software platform that integrated various data sources like genetics, blood, microbiome, diet, and activity. J. Christopher also collaborated with clinicians and researchers to develop a machine learning pipeline for health recommendations based on genetics, lifestyle, and blood analytes.

Before joining Arivale, Christopher served as a Senior Software Engineer at Sage Bionetworks from 2012 to 2016. During their tenure, they developed client libraries in Python and R for accessing the Synapse data sharing platform and worked on predictive modeling and machine learning competitions in biomedical research as part of the DREAM challenges organization.

Prior to that, Christopher worked as a Software Engineer at the Institute for Systems Biology from 2006 to 2012, where they focused on software development. J. Christopher also gained experience as a Software Developer at Expedia in 2005 and PeopleLink Inc. from 2000 to 2002.

J. Christopher'searly career includes roles as a Software Developer at OnAir, Ingenuity Systems, and Merck, where they gained experience in software development.

Overall, J. Christopher Bare has a comprehensive background in software engineering, data engineering, and machine learning, with a focus on health-related projects throughout their career.

J. Christopher Bare obtained a Bachelor of Science degree in Mathematical Science from Penn State University. J. Christopher then pursued further education and obtained a Master of Science degree in Computer Science from the University of Washington, completing the program from 2004 to 2007. Additionally, they have obtained multiple certifications in various areas of computer science and data analysis. These include certifications in deep learning, data pipeline building, scalable machine learning, big data with Apache Spark, functional programming in Haskell, statistical learning, data analysis, functional programming principles in Scala, probabilistic graphical models, and machine learning. These certifications were received from institutions such as Coursera, edX, and Stanford University, with completion dates ranging from 2011 to 2019.