About

Schooling & Early Career:

Bryan graduated with honors in Cognitive Neuroscience from Washington University in St. Louis where he also studied American Culture and Political Science. He spent the majority of his high school and undergraduate summers in a Neuropathology research lab studying Alzheimer’s disease. After graduating, he started his career as a high school math teacher in Durham Public Schools, North Carolina, through Teach for America. Bryan moved into analytics through an Education Pioneers fellowship as a School Performance Analyst in Colorado. He then returned to North Carolina where he completed an MS at The Institute for Advanced Analytics at NC State University.

Career in Data Science:

Out of grad school, Bryan joined NetApp where he worked from 2017 - 2025 as lead data scientist on a wide range of problems with teams in customer support, sales, and pricing. Examples of his projects:

  • Support ticket prioritization: Rated open customer support tickets by escalation risk.
  • Forecasting: Built automated sales forecasts across product lines and geographies.
  • Price optimization: Developed statistical approaches for pricing and discount guidance.

Outside of his direct responsibilities, Bryan has been active in fostering internal and local Data Science communities. Examples of his engagements:

  • Co-led Data Science study groups on topics including Feature Engineering, Pricing Optimization, and Interpretable Machine Learning.
  • Promoted adoption of improved practices in areas such as hiring Data Scientists and reproducible analysis.
  • Presented to local and global Data Science communities like Posit Conf and UseR!.
  • Mentored new hires, supported university capstone projects, and taught Data Analytics workshops. Received company “Service Award” in recognition of volunteerism.
  • Drove smart adoption of AI and agentic workflows as member of AI Operating Committee.

In June 2025, Bryan joined Meta, where he’s been working on improving experimentation and long-term evaluation practices across core infrastructure and platform systems supporting Meta’s Family of Apps.

Inspired by the open tutorials, books, software, and communities he has learned from throughout his career, Bryan created this blog as a place to document some of his ideas and learning.