Ramesh Johari is an Associate Professor at Stanford University, with a full-time appointment in the Department of Management Science and Engineering (MS&E), and courtesy appointments in the Departments of Computer Science (CS) and Electrical Engineering (EE). He is a member of the Operations Research group and the Social Algorithms Lab (SOAL) in MS&E, the Information Systems Laboratory in EE, the Institute for Computational and Mathematical Engineering, and the steering committee of the Stanford Cyber Initiative. He received an A.B. in Mathematics from Harvard, a Certificate of Advanced Study in Mathematics from Cambridge, and a Ph.D. in Electrical Engineering and Computer Science from MIT.
He is the recipient of a British Marshall Scholarship, First Place in the INFORMS George E. Nicholson Student Paper Competition, the George M. Sprowls Award for the best doctoral thesis in computer science at MIT, Honorable Mention for the ACM Doctoral Dissertation Award, the Okawa Foundation Research Grant, the MS&E Graduate Teaching Award, the INFORMS Telecommunications Section Doctoral Dissertation Award, the NSF CAREER Award, and the Cisco Faculty Scholarship. He has served on the program committees of ACM Economics and Computation (and is co-chairing the conference in 2019), ACM SIGCOMM, IEEE Infocom, and ACM SIGMETRICS, as the track chair for the Internet Economics and Monetization Track at WWW, and as a co-organizer of the Marketplace Innovation Workshop. He is an Area Co-Editor of the Revenue Management and Market Analytics Area in Operations Research, and associate editor in Management Science (in the Stochastic Models and Simulation area).
Ramesh is currently senior advisor to Airbnb and a technical advisor to Stitch Fix. In 2012-2013, Ramesh was on leave at oDesk (now Upwork), an online labor market; first as a Consulting Scientist, then as Director of Data Products and Research. Since 2014, he serves as a technical advisor to Upwork.
He was formerly a technical advisor to Optimizely (a web optimization platform).
Current sources of support include the National Science Foundation (including the EARS program and the CPS program); the Stanford Vice Provost for Teaching and Learning; the Stanford Cyber Initiative; the Stanford Human-Centered AI Initiative; and the Stanford School of Engineering.