About the Authors
Mark Bun
Mark Bun
Assistant professor
Department of Computer Science
Boston University
Boston, MA, USA
mbun[ta]bu[td]edu
cs-people.bu.edu/mbun/
Mark Bun is an Assistant Professor in the Department of Computer Science at Boston University. He completed his Ph.D. in the Theory of Computation group at Harvard University, where he was advised by Salil Vadhan. After that, he was a postdoctoral researcher at Princeton University and a Google Research Fellow at the Simons Institute. His research interests include computational complexity, differential privacy, cryptozoology, and learning theory. As a native Seattleite, he enjoys coffee, rain, composting, 4-way stop signs, hiking, cheese rolling, and competitive duck herding.
Robin Kothari
Robin Kothari
Senior researcher
Microsoft Quantum and Microsoft Research
Redmond, WA, USA
robin[td]kothari[ta]microsoft[td]com
www.robinkothari.com
Robin Kothari received his Ph.D. in Computer Science from the University of Waterloo in 2014, under the supervision of Andrew Childs and John Watrous. He was then a postdoctoral associate at the Center for Theoretical Physics at the Massachusetts Institute of Technology for three years. He is currently a Senior Researcher at Microsoft Quantum and Microsoft Research. His research interests include quantum algorithms, quantum complexity theory, query complexity, and communication complexity.
Justin Thaler
Justin Thaler
Assistant professor
Department of Computer Science
Georgetown University
Washington, DC, USA
justin[td]thaler[ta]georgetown[td]edu
people.cs.georgetown.edu/jthaler/
Justin Thaler is an Assistant Professor in the Department of Computer Science at Georgetown University. He completed his Ph.D. in the Theory of Computation group at Harvard University, where he was advised by Michael Mitzenmacher. After that, he was a postdoctoral researcher at the Simons Institute, and a Research Scientist at Yahoo Labs in New York City. His research interests include computational complexity, verifiable computing, and algorithms for massive datasets. In his spare time, he enjoys running and playing low-quality tennis.