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Associate Professor of Computer Science | Innovation Studies | caora@plu.edu | 253-535-7409 | My research interest is mainly focused on developing and applying machine learning and data mining techniques to solve biomedical problems, such as human genome data analysis and protein structure predictions.
Renzhi Cao Associate Professor of Computer Science he/him/his Phone: 253-535-7409 Email: caora@plu.edu Office Location: Morken Center for Learning & Technology - 248 Website: https://cs.plu.edu/~caora/ Professional Biography Video Education Ph.D., Computer Science, University of Missouri-Columbia, 2016 M.S., Computer Science, University of Science and Technology of China, 2011 B.S., Computer Science, Anhui Normal University, 2008 Areas of Emphasis or Expertise Machine learning Data science
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Actuarial Science | Academic Programs | PLU 1: Skip to content 2: Skip to navigation Accessibility Tools (CTRL+U) Text-to-Speech Large Cursor Zoom Level (x1) Reset Zoom Disable Animations Reset All Hide the tools After hiding the tool, if you would like to re-enable it, just press CTRL+U to open this window. Or, move your cursor near the tool to display it. Menu Apply Visit Programs PLU News Menu Search Events ePass Apply Visit Programs PLU News Inquiry. Service. Leadership. Care. Menu Search
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Political Science | Academic Programs | PLU 1: Skip to content 2: Skip to navigation Accessibility Tools (CTRL+U) Text-to-Speech Large Cursor Zoom Level (x1) Reset Zoom Disable Animations Reset All Hide the tools After hiding the tool, if you would like to re-enable it, just press CTRL+U to open this window. Or, move your cursor near the tool to display it. Menu Apply Visit Programs PLU News Menu Search Events ePass Apply Visit Programs PLU News Inquiry. Service. Leadership. Care. Menu Search
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Exercise Science (pdf) view page
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Associate Professor of Computer Science | The PLU Chinese Studies Program | caora@plu.edu | 253-535-7409 | My research interest is mainly focused on developing and applying machine learning and data mining techniques to solve biomedical problems, such as human genome data analysis and protein structure predictions.
Renzhi Cao Associate Professor of Computer Science he/him/his Phone: 253-535-7409 Email: caora@plu.edu Office Location: Morken Center for Learning & Technology - 248 Website: https://cs.plu.edu/~caora/ Professional Biography Video Education Ph.D., Computer Science, University of Missouri-Columbia, 2016 M.S., Computer Science, University of Science and Technology of China, 2011 B.S., Computer Science, Anhui Normal University, 2008 Areas of Emphasis or Expertise Machine learning Data science
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Are you curious how PLU’s computer science program will prepare you for professional career opportunities? In this session, Professor Renzhi Cao will answer students’ most frequently asked questions about professional career opportunities!
You Ask. We Answer. How is your computer science program? Posted by: mhines / March 26, 2024 March 26, 2024 Are you curious how PLU’s computer science program will prepare you for professional career opportunities? In this session, Professor Renzhi Cao will answer students’ most frequently asked questions about professional career opportunities! Read Previous Brian Sung ’24 talks business, econ majors, Oxford adventure, and his unique PLU journey as a first-gen Chinese immigrant Read Next
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The goal of these programs is to provide early stage students first hand experience with cutting-edge research in a range of departments, including Biology, Chemistry, Bioengineering, Chemical Engineering, Computer Science, Physics, and more. These summer research experiences for undergraduate’s (REU)’s are ten-week research-immersion internship programs…
Paid Science and Engineering Summer Research Opportunities at Rice University Posted by: nicolacs / January 25, 2021 January 25, 2021 The goal of these programs is to provide early stage students first hand experience with cutting-edge research in a range of departments, including Biology, Chemistry, Bioengineering, Chemical Engineering, Computer Science, Physics, and more. These summer research experiences for undergraduate’s (REU)’s are ten-week research-immersion internship programs at Rice
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2022 CNF REU Program Announcement During the summer of 2022, the Cornell NanoScale Science & Technology Facility will host a Research Experiences for Undergraduates (CNF REU) Program from June 7th through August 12th. Engineering and science students with broad interests across disciplines focusing on nanotechnology…
2022 Cornell NanoScale Science & Technology Facility Research Experiences for Undergraduates Posted by: nicolacs / November 9, 2021 November 9, 2021 2022 CNF REU Program Announcement During the summer of 2022, the Cornell NanoScale Science & Technology Facility will host a Research Experiences for Undergraduates (CNF REU) Program from June 7th through August 12th. Engineering and science students with broad interests across disciplines focusing on nanotechnology are eligible to apply (see
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Interested in paid Science and Engineering Summer Research Opportunities at Rice University? Read on. The goal of these programs is to provide early-stage students firsthand experience with cutting-edge research in a range of departments, including Biology, Chemistry, Bioengineering, Chemical Engineering, Computer Science, Geology, Physics, and…
Paid Science and Engineering Summer Research Opportunities at Rice University Posted by: alemanem / December 3, 2021 December 3, 2021 Interested in paid Science and Engineering Summer Research Opportunities at Rice University? Read on. The goal of these programs is to provide early-stage students firsthand experience with cutting-edge research in a range of departments, including Biology, Chemistry, Bioengineering, Chemical Engineering, Computer Science, Geology, Physics, and more. These summer
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by Jon Grahe, Professor of Psychology at PLU It never occurred to me that I needed the Open Science Framework (OSF) . It was shared with me because the developers knew that I was interested in trying to create large scale collaborative research projects, and…
The Open Science Framework Changed my Workflow (for the better!) Posted by: Jenna S / April 25, 2016 April 25, 2016 by Jon Grahe, Professor of Psychology at PLU It never occurred to me that I needed the Open Science Framework (OSF). It was shared with me because the developers knew that I was interested in trying to create large scale collaborative research projects, and so I ended up on their email list. The Center for Open Science developed the OSF (free to all users) to provide researchers
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