Rochester, New York Metropolitan Area United States
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Summary
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Senior
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Top School
Omid Bakhshandeh is a research-focused PhD candidate in Computer Science at the University of Rochester with 11 years of experience building intelligent agents that bridge natural language understanding and autonomous control. Currently a Research Intern at Adobe, he works at the intersection of vision and language while previously developing semantic parsing tools for extracting biomedical mechanisms from literature at IHMC. His work centers on deep NLU for question answering and open-domain comprehension, with an emphasis on endowing systems with inferential abilities rather than surface-level pattern matching. Based in Rochester, he combines academic rigor with applied research experience and a track record of moving complex NLP ideas toward practical, domain-specific extraction systems.
11 years of coding experience
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at University of Rochester
Contributions:2 pushes, 1 branch in 4 years 11 months
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