I am an AI researcher, engineer and community builder. I am currently at Meta and NYU, jumping between Engineering, Research and Leadership as I find convenient. I currently lead PyTorch and AI Infra-related things at Meta. These days I increasingly dabble with robots, at NYU. I specialize in machine learning platforms and generative models.

My area of research is at the intersection between AI and systems, cloud computing, and distributed systems. I am equally interested in designing algorithms and systems with strong theoretical foundations, and in providing practical implementations that are deployable in the real world.

Professor Anandkumar's research interests are in the areas of large-scale machine learning, non-convex optimization and high-dimensional statistics. In particular, she has been spearheading the development and analysis of tensor algorithms for machine learning. Tensor decomposition methods are embarrassingly parallel and scalable to enormous datasets. They are guaranteed to converge to the global optimum and yield consistent estimates for many probabilistic models such as topic models, community models, and hidden Markov models. More generally, Professor Anandkumar has been investigating efficient techniques to speed up non-convex optimization such as escaping saddle points efficiently.

Ling Liu is a Professor in the School of Computer Science at Georgia Institute of Technology. She directs the research programs in the Distributed Data Intensive Systems Lab (DiSL), examining various aspects of Internet-scale big data powered artificial intelligence (AI) systems, algorithms and analytics, including performance, reliability, privacy, security and trust. Prof. Liu is an elected IEEE Fellow, a recipient of IEEE Computer Society Technical Achievement Award (2012), and a recipient of the best paper award from numerous top venues, including IEEE ICDCS, WWW, ACM/IEEE CCGrid, IEEE Cloud, IEEE ICWS. Prof. Liu served on editorial board of over a dozen international journals, including the editor in chief of IEEE Transactions on Service Computing (2013-2016), and the editor in chief of ACM Transactions on Internet Computing (2019-2024). Currently, Prof. Liu is the editor in Chief of IEEE Transactions on Big Data (since Jan, 2025). Prof. Liu is a frequent keynote speaker in top-tier venues in Big Data, AI and ML systems, Cloud Computing, Privacy, Security and Trust. Her current research is primarily supported by USA National Science Foundation under CISE programs, CISCO and IBM.