Understanding Information: From Bits to Brains
Avani Wildani is a computer scientist with an obsession for information storage and retrieval in any medium she can get her hands into. She has worked in access prediction, data deduplication, power management, catastrophic fault tolerance, P2P networks, and recently in topological data analysis. She also dabbles in machine learning models, particularly those that incorporate domain-specific expertise. She is currently a Pioneer postdoctoral fellow at the Salk Institute, studying the neurobiology of vision in the primary visual cortex from an algorithmic perspective. She plans to continue as a researcher in computer science searching for the underlying data structures of the brain.