{"id":418,"date":"2025-05-27T15:04:01","date_gmt":"2025-05-27T15:04:01","guid":{"rendered":"https:\/\/wpdev.acsu.buffalo.edu\/clustllm4cer\/?page_id=418"},"modified":"2025-05-27T15:04:01","modified_gmt":"2025-05-27T15:04:01","slug":"oliver-kennedy","status":"publish","type":"page","link":"https:\/\/ubwp.buffalo.edu\/clustllm4cer\/oliver-kennedy\/","title":{"rendered":"Oliver Kennedy"},"content":{"rendered":"\n

Oliver Kennedy, Ph.D.<\/strong><\/p>\n\n\n\n

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Personal Webpage: <\/strong>https:\/\/odin.cse.buffalo.edu\/people\/oliver_kennedy.html<\/a><\/p>\n\n\n\n

Highlighted Project: <\/strong>https:\/\/vizierdb.info<\/a><\/p>\n\n\n\n

Oliver Kennedy is an associate professor at the University at Buffalo.  He earned his PhD from Cornell University in 2011 and now leads the Online Data Interactions (ODIn) lab, which operates at the intersection of databases and programming languages.  Oliver is the recipient of an NSF CAREER award, an IEEE Region 1 Technological Innovation Award, UB’s Exceptional Scholar Award, and several UB SEAS teaching awards.  Oliver is also one of the founding board members of Breadcrumb Analytics. Several of Oliver’s papers have been invited to “Best of” compilations from SIGMOD and VLDB.  The ODIn lab is currently exploring (i) how we can leverage database techniques like incremental view maintenance to make compilers faster, (ii) how to make it easier for data scientists to track how sources of uncertainty, ambiguity, and\/or bias affect analyses, and (iii) how to streamline the interfaces — both human and software — between different tools for data science, like Python, SQL, and spreadsheets.<\/p>\n\n\n\n

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Oliver Kennedy, Ph.D. Personal Webpage: https:\/\/odin.cse.buffalo.edu\/people\/oliver_kennedy.html Highlighted Project: https:\/\/vizierdb.info Oliver Kennedy is an associate professor at the University at Buffalo.  He earned his PhD from Cornell University in 2011 and now leads […]<\/p>\n

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