Invited Speakers


Volker Markl is a Full Professor and Chair of the Database Systems and Information Management (DIMA) group at the Technische Universität Berlin (TU Berlin). His research interests include: new hardware architectures for information management, scalable processing and optimization of declarative data analysis programs, and scalable data science, including graph and text mining, and scalable machine learning. Volker has presented over 200 invited talks in numerous industrial settings and at major conferences and research institutions worldwide. He has authored and published more than 100 research papers at world-class scientific venues. Volker started the Stratosphere project, a big data analysis platform now called Apache Flink. The platform is currently used in production by several companies and serves as basis for teaching and research by several institutions in Germany, Europe and the United States.

Marcel Kornacker is a tech lead at Cloudera for new products

development and creator of the Cloudera Impala project. Following his

graduation in 2000 with a PhD in databases from UC Berkeley, he held

engineering positions at several database-related start-up companies.

Marcel joined Google in 2003 where he worked on several ads serving

and storage infrastructure projects, then became tech lead for the

distributed query engine component of Google's F1 project.

Marian Radu holds a B.Sc. in Computer Science from “Al. I. Cuza” University of Iasi, Romania. He has 9 years of Anti-Malware analysis and research experience. Marian currently works as a Senior Anti-Malware Researcher at the Microsoft Malware Protection Center. His focus is on utilizing machine learning techniques for classification and detection of malware. His work is immediately available worldwide, to millions of clients, via security products such as Windows Defender, MSE, FEP, SCEP, etc.

Vahab Mirrokni is a Senior Staff Research Scientist, heading the algorithms research group at Google Research New York. He received his PhD from MIT in 2005 and his B.Sc. from Sharif University of Technology in 1999. He joined Google after holding research positions at Microsoft Research and  At Google, he is mainly working on algorithmic and economic problems related to search and online advertising. He serves as the tech lead manager for the large-scale graph mining project at Google NYC.

Alex Smola studied physics at the University of Technology, Munich, the Universita degli Studi di Pavia and at AT&T Research in Holmdel. During this time he was at the Maximilianeum München and the Collegio Ghislieri in Pavia. In 1996 he received the Master degree at the University of Technology, Munich and in 1998 the Doctoral Degree in computer science at the University of Technology Berlin. Until 1999 he was a researcher at the IDA Group of the GMD Institute for Software Engineering and Computer Architecture in Berlin (now part of the Fraunhofer Geselschaft). After that, he worked as a Researcher and Group Leader at the Research School for Information Sciences and Engineering of the Australian National University. From 2004 onwards he worked as a Senior Principal Researcher and Program Leader at the Statistical Machine Learning Program at NICTA. From 2008 to 2012 he worked at Yahoo Research. In spring of 2012 he moved to Google Research to spend a wonderful year in Mountain View. He joined the Machine Learning Department of CMU as full professor in 2013. He is co-founder and CEO of Marianas Labs.

Dr. Eric Xing is a professor in the School of Computer Science at Carnegie Mellon University. His principal research interests lie in the development of machine learning and statistical methodology, and large-scale computational system and architecture, for solving problems involving automated learning, reasoning, and decision-making in high-dimensional, multimodal, and dynamic possible worlds in complex systems. Professor Xing received a Ph.D. in Molecular Biology from Rutgers University, and another Ph.D. in Computer Science from UC Berkeley. His current work involves, 1) foundations of statistical learning, including theory and algorithms for estimating time/space varying-coefficient models, sparse structured input/output models, and nonparametric Bayesian models; 2) framework for parallel machine learning on big data with big model in distributed systems or in the cloud; 3) computational and statistical analysis of gene regulation, genetic variation, and disease associations; and 4) application of statistical learning in social networks, data mining, and vision. Professor Xing has published over 200 peer-reviewed papers, and is an associate editor of the Journal of the American Statistical Association, Annals of Applied Statistics, the IEEE Transactions of Pattern Analysis and Machine Intelligence, the PLoS Journal of Computational Biology, and an Action Editor of the Machine Learning journal, and the Journal of Machine Learning Research. He is a member of the DARPA Information Science and Technology (ISAT) Advisory Group, a recipient of the NSF Career Award, the Alfred P. Sloan Research Fellowship, the United States Air Force Young Investigator Award, and the IBM Open Collaborative Research Faculty Award.

Mitul Tiwari is a Staff Research Engineer and Engineering Manager at Search, Network, and Analytics group at LinkedIn. He has been working on large-scale social recommender systems such as “People You May Know” and “Related Searches” at LinkedIn. His interests include large-scale data mining and machine learning. Previously, he worked at Kosmix (now Walmart Labs) as a Lead Member of Technical Staff, where he worked on web-scale document, tweets and query categorization to build personalized news paper and vertical search engines. He completed his PhD in Computer Science from the University of Texas at Austin and under graduation from IIT Bombay. He has co-authored more than 16 publications in conferences such as WWW, KDD, VLDB, CIKM, and SPAA.

Jim Klosowski is the Director of the Information Visualization group in the Big Data Research Organization at AT&T Labs in New York City.  He received his PhD from Stony Brook University where he studied computational geometry and computer graphics.  After graduating, he joined the IBM T. J. Watson Research Center, working in the areas of interactive computer graphics and scalable visualization.  In 2009, he joined AT&T Labs-Research to focus on interactive visualization and exploration of large datasets.

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BIG News

  1. BulletApr 3 2015
    Jim Klosowski (AT&T) joins BIG as invited speaker!

  2. BulletApr 2 2015
    Mitul Tiwari (LinkedIn) joins BIG as invited speaker!

  3. BulletMar 25 2015
    Alex Smola (Carnegie Mellon U) joins BIG as invited speaker!

  4. BulletMar 19 2015
    Marcel Kornaker (Cloudera), Volker Markl (TU Berlin), Vahab Mirrokni (Google), Marian Radu (Microsoft), Eric Xing (Carnegie Mellon U) join BIG as invited speakers!

  5. BulletMar 16 2015
    200+ teams on the BIG Cup 2015!

  6. BulletFeb 23 2015
    100+ teams on the BIG Cup 2015!

  7. BulletFeb 10 2015
    54 teams on the BIG Cup 2015!

  8. BulletFeb 5 2015
    20 teams already working on the BIG Cup 2015!

  9. BulletFeb 3 2015
    The BIG Cup 2015 is open!

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