Abhijit Bose is the Managing Vice President for Capital One’s The Center for Machine Learning (C4ML). Prior to joining Capital One, Abhijit served as Facebook’s Head of Engineering (Montreal, NYC, Pittsburg) for Facebook Al Research. With over 20+ years of data science expertise, Abhijit encompass an impressive technical and academic career history. He obtained a […]

Ameet Talwalkar is an assistant professor of Computer Science at UCLA and a technical advisor for Databricks. His research addresses scalability and ease-of-use issues in the field of statistical machine learning, with applications in computational genomics. He started the MLlib project in Apache Spark and is a co-author of the graduate-level textbook ‘Foundations of Machine […]

I joined Google Research (now called Google AI) in 2017, where I am a part of the Sound Understanding team within Machine Perception. I am passionate about the potential for machine perception research to make our interactions with technology more natural and seamless, rather than distracting and addictive. Previously, I was a Research Scientist at […]

Joseph Gonzalez is a co-founder of GraphLab Inc. and a postdoc in the UC Berkeley AMPLab. Joseph graduated from the Machine Learning Department at Carnegie Mellon University where he worked with Carlos Guestrin on parallel algorithms and abstractions for scalable probabilistic machine learning. Joseph is a recipient of the AT&T Labs Graduate Fellowship and the […]

Lukas Biewald is CEO and co-founder CrowdFlower, the leader in crowd microtasking of crowdsourcing platform vendor CrowdFlower. Prior to co-founding CrowdFlower, Biewald was a senior scientist and manager within the Ranking and Management Team at Powerset, Inc., a natural language search technology company later acquired by Microsoft, and also led the Search Relevance Team for […]

Matei Zaharia finished his PhD at UC Berkeley, where he worked on large-scale data processing systems. He created the Apache Spark project and developed code and algorithms that have also been incorporated into other popular projects, like Hadoop. In 2014, Matei will start an assistant professor position at MIT. Meanwhile, he is CTO at Databricks, […]

Josh Wills is a Software Engineer at Slack. Previously, Josh was the Head of Data Engineering at Slack. Prior to Slack, he built and led data science teams at Cloudera and Google. He is the founder of the Apache Crunch project, co-authored an O’Reilly book on advanced analytics with Apache Spark, and wrote a popular […]

Ted is currently the Director of the Brain-Inspired Computing Lab at Intel. The lab’s mission is to make Intel a leader in brain-inspired artificial intelligence by working closely with leaders in neuroscience to develop new algorithms and systems. Ted is also co-principal investigator of a 5-year program on real-time brain decoding with the Princeton Neuroscience Institute and an […]

Josh Patterson currently is Director of Field Engineering for Skymind. Previously Josh worked as a Principal Solutions Architect at Cloudera and as a machine learning / distributed systems engineer at the Tennessee Valley Authority where he brought Hadoop into the smart grid with the openPDC project. Josh has a Masters in Computer Science from the […]

Eric Bieschke is Pandora’s Chief Scientist and runs playlist engineering for the leading internet radio service. As the second employee to join Pandora in 2000, he built the initial prototypes for the playlist algorithms, which are now deployed to provide the best personalized radio experience to more than 200 million registered users. With a powerful […]

Quoc Le is software engineer at Google and will become an assistant professor at Carnegie Mellon University in Fall 2014. At Google, Quoc works on large scale brain simulation using unsupervised feature learning and deep learning. His work focuses on object recognition, speech recognition and language understanding. Quoc obtained his PhD at Stanford, undergraduate degree […]

Carlos Guestrin is the Amazon Professor of Machine Learning at the Computer Science & Engineering Department of the University of Washington. He is also a co-founder and CEO of Dato, Inc. (formerly GraphLab), focusing large-scale machine learning and graph analytics. His previous positions include the Finmeccanica Associate Professor at Carnegie Mellon University and senior researcher […]

Xavier Amatriain is co-founder and CTO of Curai, a health-tech startup using AI to provide the world’s best healthcare to everyone. Previous to this, he was VP of Engineering at Quora, and Research/engineering Director at Netflix, where he led the team building the famous Netflix recommendation algorithms. Before going into leadership positions in industry, Xavier […]

Michael Mahoney is at Stanford University. His research interests center around algorithms for very large-scale statistical data analysis. His current research interests include large-scale machine learning; developing approximate computation and regularization methods for large informatics graphs; applications to community detection, clustering, and information dynamics in large social and information networks; and randomized matrix algorithms. He […]

Dr. Yi Li is a machine learning research scientist at Baidu Silicon Valley AI Lab. Dr. Li’s research interest lie in ML/AI technologies in health care, and is currently leading the research in this direction at Baidu Research.