Sarah is postdoc at Microsoft Research NYC. Her research interests include mobile and cloud computing, machine learning, dynamic optimization, energy efficiency, parallel computer architecture, operating systems, and user experience.
Her current research focuses on problems at the intersection of systems and machine learning, particularly on designing systems that can be controlled and optimized with learning algorithms. Sarah did her Ph.D. work 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.