Making good decisions with experimental or operational data is easy when everything is working well. This seminar will discuss the different types of anomalous data seen in the real world, methods for cleaning and reducing the data, and how to present the data so that decision-makers can respond appropriately in both real-time and post-processed environments. We will also explore the different types of decision-maker and discuss how the same dataset should be handled differently for each type. All of these will be supported with examples of data collected from operational systems.

About the speaker...
Richard Walker graduated from the University of Michigan with a B.S. in Aerospace Engineering in 2005, and a M.Eng. in Space Systems Engineering in 2006. At Google, he worked on the first versions of the Street View cars and imaging aircraft. He then moved to SpaceX where he designed and built the solar arrays for the Cargo Dragon spacecraft as a Power Systems Engineer, and then flew those panels to the International Space Station as an Operations Engineer. After SpaceX, he was the Satellite Operations Lead for Planet, where he was responsible for the health and production of a fleet of 60+ Earth imaging satellites. Finally, he became an Operations Engineer at Zipline International, responsible for digesting hundreds of flights of data a week to find actionable trends and anomalies.