Associate Professor, Management Science & Engineering (MS&E) Institute for Computational & Mathematical Engineering (ICME) Cisco Systems Faculty Scholar, School of Engineering Stanford University
Harvesting randomness to understand computational social systems
Modern social systems are increasingly infused with algorithmic components, designed to optimize various objectives under diverse constraints.
The goal of robust statistics is to find accurate estimates of statistical parameters despite adversarial corruptions of data (an \eps fraction of data is arbitrarily corrupted by an adversary).
Analyzing genetic summary data: statistical models and platforms
Summary statistics from extensive genetic and -omic research provide valuable biological insights into human complex traits and diseases, but also introduce new statistical, logistical, and computational challenges.