Kanak is a distributed systems research scientist at Adobe Research in San Jose.
Her research is broadly related to scalable distributed systems, parallel algorithms, and high-performance computing. Her interests lie specifically in developing techniques and systems to build scalable and performant applications and algorithms for large datasets.
She earned her PhD in Computer Engineering from Purdue University, West Lafayette in August 2017.
More details can be found on her personal webpage here