Ramesh Johari

Ramesh Johari, PhD, Professor, Department of Management Science and Engineering, Professor (by courtesy), Department of Compuer Science, Professor (by courtesy), Department of Electrical Engineering, Stanford University School of Engineering 

Research Description: Ramesh Johari is a 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 an Associate Director of Stanford Data Science. He is an operations researcher by training, with expertise in optimization, stochastic modeling, resource allocation, economic analysis, and market design, and more recently in data science applications and methodology. He has applied these skills in a wide variety of contexts, most recently in the context of the design and operation of large online platforms and marketplaces. His work provides guidance on how such systems should manage and allocate scarce capacity among competing needs. His recent work in data science focuses on methods for making good decisions from data, and for policy evaluation (including experimental design and multi-armed bandit methods). For the academic year 2020-21, Dr. Johari is serving as a Stanford Impact Labs Design Fellow, specifically focused on the use of telemedicine and novel sensor technologies to transform diabetes clinic management, with a particular emphasis on equity. He is collaborating with SDRC members Drs. Maahs, Prahalad, and Scheinker on the digital transformation of type 1 diabetes care; they have submitted a joint NSF grant, for which Dr. Johari is PI. Dr. Johari is an example of SDRC’s mission to draw researchers new to the field of diabetes through our enrichment activities.

Selected relevant publications (SDRC Members in BOLD): 

  1. Osmanlliu E, Johari R, Scheinker D. Health and healthcare disparities associated with the digital divide.  Annals of Family Medicine, COVID-19 Collection (2021). http://dx.doi.org/10.7302/6

  2. Johari R, Kamble V, Kanoria Y.  "Matching while learning." Operations Research (2021). https://doi.org/10.1287/opre.2020.2013