About
Rory Hartong-Redden is a data scientist and machine learning engineer in Boulder, Colorado. He's worked with all kinds of data leveraging his background in physics and engineering.
Resume
Check out the GitHub repo if you'd like to see LaTeX (a holdover from my time in academia).
Long Bio
In early 2020 Rory joined the manufacturing startup Fast Radius as a data scientist where he worked in their Chicago office. In 2021 Rory moved to Boulder, where he works 100% remotely, and was promoted to manager as the data science team grew. Fast Radius would go on to a SPAC IPO on February 7, 2022. Just 8 months later the company declared bankruptcy. The remains of Fast Radius were bought at auction by a private equity firm and incorporated into a newly-formed company called SyBridge.
In 2018 Rory decided to move from Silicon Valley to Linz, Austria to work at runtastic. At runtastic (now adidas runtastic) he was a data engineer working on data pipelines feeding internal analytics as well as product features.
Prior to joining Runtastic Rory Hartong-Redden was a data scientist at Allstate in Menlo Park, CA. While at Allstate he collaborated with the Stanford Intelligent Systems Lab on autonomous vehicle safety. The project was described in a recent press release and has resulted in several publications.
During the winter quarter of 2015 he was a machine learning fellow at Startup.ML where he built a data pipeline to Bitcoin data and set up a platform to backtest trading algorithms.
Unfortunately, he did predict Bitcoin blowing up.
Rory earned two bachelors degrees in Physics and Mechanical Engineering at UC Santa Barbara. His undergraduate research studied the structure of splashed using stereo high-speed cameras. Rory completed a masters in Mechanical Engineering and continued to work in experimental fluid dynamics where he built a new fluid dynamics experiment that measured fluid motion using a novel computer vision system.