Christopher Jermaine

WEBSITE(S)| Research Site

Christopher Jermaine is the chair of the Rice University Department of Computer Science in the George R. Brown School of Engineering. He is also the program director of the Master of Data Science program, professor of Computer Science and J.S. Abercrombie Professor of Engineering.

Jermaine received a BA from the Mathematics Department at UCSD, an MSc from the Computer Science and Engineering Department at OSU (his advisor at OSU was Renee Miller, who is now at Toronto), and a PhD from the College of Computing at Georgia Tech (his advisor at Georgia Tech was Ed Omiecinski). He is the recipient of a 2008 Alfred P. Sloan Foundation Research Fellowship, a National Science Foundation CAREER award, a 2007 ACM SIGMOD Best Paper Award, a 2009 ACM SIGKDD Best Paper runner up, and a 2017 ICDE Best Paper Award. He has been at Rice since January, 2009 and was on the faculty of the computer science department at the University of Florida from 2002 through August, 2010.

 

Research Areas

Chris Jermaine studies data analytics: how to analyze, store, retrieve, and manipulate large and heterogeneous data sets. Within this problem space, most of his work focuses on:  the systems-oriented problems that arise when building software to manage large and diverse data sets; and the difficulties that arise when applying statistical methods to such data sets.

Education

PhD Computer Science, Georgia Institute of Technology

MSc, Computer Science, The Ohio State University (1997)

BA, Math, University of California San Diego (1994)

Teaching Areas

Applications of Discrete Structures

Information and Database Systems

Indexing Large Databases

Database System Implementation

Design and Analysis of Algorithms

Introduction to Program Design

Tools and Models for Data Science

Introduction to Database Systems

Honors & Awards

2017 ICDE Best Paper Award

2009: ACM SIGKDD Best Paper runner up

2008: Alfred P. Sloan Foundation Research Fellowship

2008: CAREER award, National Science Foundation

2007: ACM SIGMOD Best Paper Award

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