Hey there! I’m Ryan. I like to code, read, run, cook, sing (in the shower), and laugh. Oh do I love to laugh. I make my home in Seattle, where I spend an inordinate amount of time taking pictures of the world’s sassiest dog.
I’m currently a Product Manager at Code.org, doing my part to bring the opportunity to study Computer Science to every kid. I work on our elementary school programs, the Hour of Code campaign, and on the tools we use to scale out regional professional learning communities for computer science.
Before joining the team at Code.org, I was Program Director at Coding with Kids. There I developed our curriculum, designed our Summer Camp program, managed operations for the Puget Sound Region, and grew our team and programs by over 50%.
From 2011 to 2014, I worked at Microsoft as a Program Manager on the Microsoft Office Core Experiences Team. The Core Experiences Team builds the shared platform that application teams (like Word or PowerPoint) use to build their apps. We also established and coordinated the design patterns to help all our partners build a family of productivity apps that will knock your socks off. I have always been passionate about STEM education, and spent my time at Microsoft volunteering in area schools to teach computer science. After three great years, I decided to leave Microsoft and do my part to help bring computer science education to every student.
Before Microsoft, I studied Computer Science at Georgia Tech. While I was there, I was involved in a lot of activities outside the classroom. I was on the Advisory Board for a recruitment program called Connect with Tech, I did some mentoring within the College of Computing, and I served as the Chair of our Student Government Association‘s Information Technology Committee. I spent my summers interning: first building data systems at a banking software company and then developing geospatial services for an energy company.
Want to get me talking? Ask me about the ethics of technology; data science and visualization; artificial intelligence and machine learning; the US Census; redistricting; or education policy.