Sarah is artificial intelligence and cloud systems researcher at Microsoft and a Technical Advisor to Microsoft’s Data Group. Her research focuses on designing and deploying intelligent systems, architecting systems for optimization, and safety and ethics in learning systems. She’s one of the researchers behind Microsoft’s Decision Service, the first general-purpose reinforcement-learning style cloud system available today.
 
As a Technical Advisor, Sarah works with products teams to make Microsoft’s products more intelligent as well as working with customers to apply intelligence to their businesses. Prior to joining Data Group, Sarah spent several years at Microsoft Research NYC. She completed a Ph.D. in computer science at UC Berkeley’s Parallel Computing Laboratory (ParLab) advised by Krste Asanovic and David Patterson at Berkeley and Burton Smith at Microsoft Research. She has B.S. in Electrical Engineering (Computer Engineering) from the University of Texas at Austin.