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Department of Computer Science and Technology

  • Professor of Machine Learning Systems

Please visit my personal website ( or my lab website ( for the most up-to-date and complete information (including papers).


I study the design, architecture and algorithms of scalable and robust end-to-end machine learning (ML) systems. My research interests drive towards the development of new forms of ML systems that are revolutionary in how they leverage multi-modal data (e.g., speech, vision, location, inertial information) to infer and reason over complex real-world situations — while simultaneously, maintaining extreme levels of systems flexibility (e.g., distributed execution, adaptation) and efficiency (e.g., compute, memory).

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