I am Pijika Watcharapichat, a PhD student at Imperial College. Currently I am doing research on several practical techniques to efficiently train machine learning models, especially deep neural networks, on distributed systems.
In addition to my current research direction, I am passionate about machine learning applications for healthcare and pharmaceutical domains.
Ako: Decentralised Deep Learning with Partial Gradient Exchange
Pijika Watcharapichat, Victoria Lopez Morales, Raul Castro Fernandez, and Peter Pietzuch. In ACM Symposium on Cloud Computing 2016 (SoCC), 2016.
BrowserFlow: Imprecise Data Flow Tracking
to Prevent Accidental Data Disclosure
Ioannis Papagiannis, Pijika Watcharapichat, Divya Muthukumaran, and Peter Pietzuch. In ACM/IFIP/USENIX International Conference on Middleware (Middleware), 2016.
Meta-Dataflows: Efficient Exploratory Dataflow Jobs
Raul Castro Fernandez, William Culhane, Pijika Watcharapichat, Matthias Weidlich, Victoria Lopez Morales, and Peter Pietzuch. In ACM Conference on Management of Data (SIGMOD), 2018.