Register :: Login 
sql server  |  data mining  
   
 October 1, 2014  



Microsoft Data Mining Books

 
 HomeMeet the Team   
Alex Bocharov
 

Alex Bocharov is a Research software engineer at Machine Learning and Applied Statistics (MLAS) group of Microsoft Research. Since 2001 he has been working on application of machine learning technologies to data mining. In collaboration with data mining engine team in SQL Server he has been designing and implementing data mining algorithms and visualization tools.

Alex worked in compiler team at Visual Studio division of Microsoft from 1998 prior to joining MLAS. His previous engagements include lead research and development positions with Russian Academy of Science and Wolfram Research, Inc., where he was working on design and development of scientific software.

Alex holds an advanced degree in Mathematics from Moscow National University (MGU).



Back to top


Bo Thiesson
 

Bo Thiesson is a Researcher in the Machine Learning and Applied Statistics group at Microsoft Research. His recent work has focused on scalable learning algorithms, clustering and mixture models, adaptive learning methods, and time-series analysis. Prior to Joining Microsoft in 1996, Bo worked as an Associate Professor in the Statistical Department at Aalborg University, Denmark.



Back to top


Bogdan Crivat
 

Bogdan is a Senior Software Design Engineer in the SQL Server Data Mining engine development team. In addition to the product work, he helps maintains this community web site and writes various samples on using SQL Server Data Mining. Bogdan joined Microsoft in 1999, working initially in the Visual C++ ATL/MFC team. Before that, he worked on large scale client/server applications for Softwin, the largest Romanian software development company. He holds a Bachelor's degree in Computer Science from the University of Bucharest, Romania.



Back to top


Chris Meek
 

Christopher Meek is a Senior Researcher in the Machine Learning and Applied Statistics Group at Microsoft Research. His main research interest is in statistical approaches to learning from data. His work has focused on methods for learning and applying probabilistic models to a variety of different domains including handwriting recognition, data mining, recommendation systems, and text classification. Since joining Microsoft Research, he has worked on many applications including data mining tools in SQL Server and Commerce Server, and handwriting recognition in the Tablet PC. Christopher received his Ph.D. from Carnegie-Mellon University in 1997.



 Back to top

 


Dana Cristofor
 

Dana Cristofor is a Software Design engineer in Test on the SQL Server Data Mining team. She graduated in 2002 with a PhD in data mining from the University of Massachusetts at Boston.



 Back to top


David Heckerman
 

David Heckerman is founder and manager of the Machine Learning and Applied Statistics Group at Microsoft Research.  Since 1992, he has been a Senior Researcher at Microsoft, where he has created applications including data-mining tools in SQL Server, the junk-mail filter in MSN8, handwriting recognition in the Tablet PC, text mining software in Sharepoint Portal Server, troubleshooters in Windows, and the Answer Wizard in Office.  His main interest lies in learning from data.  The models and methods he is developing are inspired by work in the areas of statistics, machine learning, decision theory, and artificial intelligence.  His work has concentrated on Bayesian methods for learning probabilistic graphical models from data.  General applications of his work include data mining, intelligent systems, and causal discovery.  David received his Ph.D. from Stanford University in 1990 and is a AAAI Fellow.



Back to top


Donald Farmer
 

Donald Farmer has worked in the Microsoft Business Intelligence team for 6 years. He has worked on both the Analysis Services and Integration Services product teams. Donald is now Principal Program Manager for SQL Server Data Mining, working to build a seamless integration of predictive and exploratory analytics with the Microsoft business intelligence offering. He is a popular speaker at international events for both business and technical audiences, with a wide range of interests including data integration, information quality, metadata intelligence, master data management and predictive analytics. He is the author of a number of books and articles. Prior to joining Microsoft, Donald worked not only in business intelligence but in fields as varied as medieval archaeology and fish-farming.



Back to top


Fernando Godinez
 

 Fernando Godinez is a Software Development Engineer and a recent addition to   the Data Mining development team. He was born in Mexico City and is a big Star Wars fan.

Fernando finished college in 1999 with a Bachelor's degree in Computer Engineering. During the last year of college he created a start up with a couple of high school friends and continued with it for another year until an opportunity for a PhD in Artificial Intelligence arose. He finished the PhD in 2005 with a thesis on security log files pre-processing and mimicry attack detection. Fernando's main CS interests involve data mining and pattern recognition techniques (all soft computing techniques are very interesting).



 Back to top 


Gang Xiao
 

Gang Xiao is a Software Design Engineer in Test on the Data Mining team in SQL Server. He joined Microsoft in March 2006. He has worked in the video game industry as an AI and system developer for FIFA 2006 and World Cup 2006. He studies machine learning during his master's program from the University of Alberta in Canada.



Back to top


James Howey
 

James Howey is a program manager on the SQL Server Data Mining team. His 8 years of SQL Server experience include work as a writer, tester, manager, and program manager. For SQL Server 2005, he guided the development and release of the SQL Server Integration Services Data Flow Task. Before coming to Microsoft, Jim taught Statistics at the University of Washington. He holds a Bachelor’s Degree in Computer Science from the University of California at Santa Barbara.



Back to top


Jamie MacLennan
 

Jamie MacLennan is the Development Manager for SQL Server Analysis Services, which includes Data Mining.  He has been designing and implementing data mining functionality in collaboration with Microsoft Research since he joined Microsoft in 1999.  In addition to developing the product, he regularly speaks on data mining at conferences worldwide, writes papers and articles about SQL Server Data Mining, maintains data mining community sites, and is a co-author of the book "Data Mining with SQL Server 2005".  Prior to joining Microsoft, Jamie worked at Landmark Graphics, Inc. (division of Halliburton) on oil & gas exploration software and at Micrografx, Inc. on flowcharting and presentation graphics software.  He studied undergraduate computer science at Cornell University.



Back to top


Jesper Lind
 

Jesper Lind is a developer in the Machine Learning and Applied Statistics Research group.  He joined Microsoft in 1999 and has worked on Data Mining for several years.  Prior to joining the Research team he was working for the Exchange Server team.  Jesper is also involved in other projects such as anti-spam technologies and HIPs (Human Interaction Proofs).  He graduated from Imperial College, London with a M.Sc in Computer Science.



 Back to top


Liu Tang
 

Liu Tang is a Software Design Engineer in Test for the Data Mining team in SQL Server. She has been focused on the design and testing of SQL Server Data Mining features for the SQL Server 2005 release and beyond. Before she joined Microsoft, she got her Master's degree from Simon Fraser University, Canada, majoring in data mining and databases.



Back to top


Max Chickering
 

Max Chickering is a Senior Researcher in the Machine Learning and Applied Statistics group in Microsoft Research. He joined Microsoft Research in 1996, and has participated in both the research and the development of the data-mining algorithms in SQL Server. Max did his graduate studies at UCLA and his undergraduate studies at UC Berkeley. Max's home page is http://research.microsoft.com/~dmax.



Back to top


Raman Iyer
 

Raman Iyer is Principal Group Manager (Development) in the SQL Server Business Intelligence group and one of the founding members of the SQL Server Data Mining team. Raman currently leads the development of next generation analytics capabilities in the Microsoft Business Intelligence platform and tools. Beyond data mining, his interests include Big Data technologies, distributed systems and NLP. Raman was a relational database guy prior to his venture into data mining and business intelligence - he has worked on the SQL Server Storage Engine team at Microsoft and on the Replication Server and database client products at Sybase Inc. Raman holds a bachelor's degree in Computer Engineering from the University of Pune in India and an MBA in Technology Management from the University of Washington in Seattle.



 Back to top 


Raymond Balint
 

Raymond Balint is Data Mining evangelist-at-large and former Test Lead for SQL Server Data Mining. Over a dozen years ago, Raymond started developing database applications as a contractor and in November 1999 he joined the Analysis Services test team where he developed test tools and implementing processes that drove up the quality of Analyses Services.

In his current role as a Senior Consultant, Raymond helps deliver BI solutions for Microsoft Consulting Services. He also gets involved in various artificial intelligence projects and provides feedback on the forums.



Back to top


Shuvro Mitra
 

Shuvro Mitra is a Senior Software Design Engineer on the Data Mining engine team in SQL Server. He joined Microsoft in 1999 and worked for the Windows Server team before joining SQL Server Data Mining. Before Microsoft, Shuvro worked as a developer on the Oracle RDBMS team for the UNIX product lines. He holds a Bachelor’s degree in Electrical Engineering from the Indian Institute of Technology, Kharagpur and a Master’s degree in Computer Science from the University of Washington, Seattle.



 Back to top 


Tatyana Yakushev
 

Tatyana Yakushev is a Software Development Engineer in the SQL Server Data Mining team. She works on the development of user interface and visualization tools for Data Mining. Tatyana joined Microsoft in 2001, working initially in the BizTalk team. She holds a Masters degree in Mathematics and Computer Science from Novosibirsk State University, Russia.



Back to top 


Teresa Linder
 

Teresa Linder is a Technical Lead on the SQL Server Data Mining test team. She has previously worked on the WinFS and Notification Services teams in SQL Server. Prior to joining Microsoft, Teresa worked for a startup company that developed the freeEDGAR web site. Teresa graduated from the University of Kansas with majors in Computer Science and Math.



Back to top


Tianfang Xu
 

Tianfang Xu is a Software Development Engineer and the newest member of the Data Mining development team. Tianfang grew up in China and came to the US after her Bachelor’s degree. She received her Master's degree from the Ohio State University and is in the final stage of pursuing her PhD in in Artificial Intelligence, specifically in dialog systems. She enjoys working on user interface design and virtual environments.



Back to top


Wei Zou
 

Wei Zou is a Software Design Engineer in Test for the Analysis Service team in SQL Server working on testing Data Mining. She received her Ph.D. in Computer Science from Peking University, China, in 2001. After that, she worked with Professor Jiawei Han in the data mining group in University of Illinois at Urbana-Champaign and co-authored several papers on data cube mining.



 Back to top


Yimin Wu
 

Yimin Wu is a Software Design Engineer in the SQL Server Data Mining team. Before joining the team, he worked for the SQL Server WinFS team for almost one year. Yimin graduated from the State University of New York at Buffalo in 2004 with a Ph.D. degree in Database and Multimedia Systems.



Back to top


Meet the Data Mining Team Minimize
 
Related Sites
 
SQL Server 2012 Downloads
 
SQL Server 2008 Downloads
 
Ask the Data Mining Community
 

Disclaimer: SQLServerDataMining.com is currently managed by members of the SQL Server Data Mining development team at Microsoft Corporation. It does not represent Microsoft’s official position on its products or technologies. All content is provided “AS-IS” with no warranties, and confers no rights.

 

 Copyright 2014 by Data Mining Team   Terms Of Use  Privacy Statement