PRINCIPAL RESEARCHER
Microsoft Research Silicon Valley
e-mail: moises "at" microsoft.com
phone: (650) 693-3398
mail: 1065 La Avenida, Mountain View, CA, 94043
Moises joined the MSR Silicon Valley Lab in early 2006. His research interests include probabilistic reasoning, graphical models, statistical machine learning, and systems. Prior to Microsoft, Moises held similar positions with Hewlett-Packard Labs, SRI International, and Rockwell Science Center, and was a principal scientist with Peakstone Corporation (start-up). Dr. Goldszmidt has a PhD degree in Computer Science from the University of California in Los Angeles (1992).
Since 1999, Moises has been focusing his research on the application of statistical pattern recognition and probabilistic reasoning to the diagnosis, forecasting, and control of performance problems and faults in complex networked computer systems
Full publication list (pre-Microsoft)
- Moises Goldszmidt, Mihai Budiu, Yue Zhang, and Michael Pechuk, Toward Automatic Policy Refinement in Repair Services for Large Distributed Systems, in The 3rd ACM SIGOPS International Workshop on Large Scale Distributed Systems and Middleware, 17 September 2009
- Dawn B. Woodard and Moises Goldszmidt, Model-Based Clustering for Online Crisis Identification in Distributed Computing, no. MSR-TR-2009-131, September 2009
- Peter Bodik, Moises Goldszmidt, Armando Fox, and Hans Andersen, Fingerprinting the datacenter: Automated classification of performance crises, no. MSR-TR-2009-122, 5 July 2009
- Peter Bodik, Moises Goldszmidt, and Armando Fox, HiLighter: Automatically Building Robust Signatures of Performance Behavior for Small- and Large-Scale Systems, in Usenix Workshop on Tackling Computer Systems Problems with Machine Learning Techniques, USENIX, December 2008
- Gabriela Cretu, Mihai Budiu, and Moises Goldszmidt, Hunting for problems with Artemis, in USENIX Workshop on the Analysis of System Logs (WASL), USENIX, December 2008
- Aleksander Simma, Moises Goldszmidt, John MacCormick, Paul Barham, Richard Black, Rebecca Isaacs, and Richard Mortier, CT-NOR: Representing and reasoning about events in continuous time, in International Conference on Uncertainty in Artificial Intelligence (UAI), Helsinki, Finland, July 2008
- Paul Barham, Richard Black, Moises Goldszmidt, Rebecca Isaacs, John MacCormick, Richard Mortier, and Aleksandr Simma, Constellation: automated discovery of service and host dependencies in networked systems, no. MSR-TR-2008-67, April 2008
- Yinglian Xie, Fang Yu, Kannan Achan, Eliot Gillum, Moisés Goldszmidt, and Ted Wobber, How Dynamic are IP Addresses, in Proceedings of the ACM SIGCOMM Conference, Association for Computing Machinery, Inc., Kyoto, Japan, August 2007
- Moises Goldszmidt, Making Life Better One Large System at a Time: Challenges for UAI Research, in Conference on Uncertainty in Artificial Intelligence (UAI 2007), Vancouver, BC, Canada, July 2007
- Paramvir Bahl, Paul Barham, Richard Black, Ranveer Chandra, Moises Goldszmidt, Rebecca Isaacs, Srikanth Kandula, Lun Li, John MacCormick, David A. Maltz, Richard Mortier, Mike Wawrzoniak, and Ming Zhang, Discovering Dependencies for Network Management, in Workshop on Hot Topics in Networks (HotNets-V), Association for Computing Machinery, Inc., Irvine, California, November 2006
- Emre Kıcıman, Dave Maltz, John Platt, and Moises Goldszmidt, Mining Web Logs to Debug Distant Connectivity Problems, in ACM SIGCOMM Workshop on Mining Network Data (MineNet-06), Association for Computing Machinery, Inc., 15 September 2006
- Emre Kıcıman, Dave Maltz, Moises Goldszmidt, and John Platt, Mining Web Logs to Debug Distant Connectivity Problems, in ACM SIGCOMM Workshop on Mining Network Data (MineNet-06), Association for Computing Machinery, Inc., Pisa, Italy, September 2006
