Dan Gutfreund
principal research scientist and manager at ibm@ IBM
Cambridge, Massachusetts, United States
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Dan Gutfreund is a highly experienced researcher with 27.7 years of work experience. He specializes in algorithms, theoretical computer science, discrete mathematics, research, and teaching. Currently, he works at IBM Research lab in Cambridge MA, focusing on video analytics. Prior to this, he held positions at IBM Research - Haifa and MIT and Harvard, where he taught courses on theoretical computer science, probability, and statistics. He also holds a PhD in theoretical computer science from the Hebrew University in Jerusalem, Israel.
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@ibm.com
@uk.ibm.com
@de.ibm.com
@us.ibm.com
@ibm.com
@us.ibm.com
+1 800426****
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About

I am a researcher at the IBM Research lab in Cambridge MA, working on video analytics. Previously I was managing the Machine Learning Technologies group at IBM Research - Haifa. Before that I was a postdoctoral fellow and a lecturer at MIT and Harvard where I taught both graduate and undergraduate courses about theoretical computer science, probability and statistics. I did my PhD in theoretical computer science at the Hebrew University in Jerusalem, Israel.

Work Experience

International Business Machines Corp., Armonk, New York, NY, 10504, US

IT Services and IT Consulting

313750
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Dan Gutfreund's Professional Milestones

  • Postdoctoral Fellow And Lecturer (2005-01-01~2007-01-01): Publishing groundbreaking research in reputable academic journals, contributing to the academic community of scholars.
  • Algorithms Developer (2000-01-01~2001-01-01): Developed cutting-edge algorithm solutions, optimizing data collection and analysis processes for seamless user experience.
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Education

The Hebrew University of Jerusalem
The Hebrew University of Jerusalem

Computer Science,

Computer Science (magna Cum Laude)

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