Charlie Peck

Professor of Computer Science

Charlie graduated from Earlham College in 1984 with a degree in Computer Science. After 10 years of software engineering and tech startups he discovered teaching first as an adjunct and slowly moving to a full-time position at Earlham over the next 10 years. His primary interests are in the areas of database systems, parallel and distributed computing, computational science, and hardware/software systems. He is the norminal leader of Earlham's Cluster Computing Group, home of the LittleFe and BCCD projects and the emerging Disaster Preparation and Response project. Charlie is the faculty advisor to the Hardware Interfacing Project and Green Science Applied Science Groups.

Xunfei Jiang

Assistant Professor of Computer Science

Xunfei Jiang teaches a host of computer courses at Earlham, including Algorithms and Data Structures, Computer Graphics, Software Engineering, Operating Systems, Principles of Computer Organization, and Special Topics in Operating Systems. Her most recently published research is on the subject of cloud computing, specifically on the topics of energy efficiency and thermal management.

David Barbella

Assistant Professor of Computer Science

Dave is interested in designing systems that allow computers to take advantage of natural language text. ("Natural languages" is what computer science people call human languages, like English or Spanish, to distinguish them from programming languages, like Python or C.) Understanding natural language allows computers to learn by reading things that were written for people, instead of requiring an expert to convert the knowledge into a form the computer can understand. It also makes it easier for people to communicate with a machine.
Dave enjoys working with students with all levels of experience in computing, both inside and outside of his areas of research focus.

Ajit Chavan

Visiting Assistant Professor of Computer Science

Ajit is interested in exploring different ways to design efficient distributed systems. Recently, he has worked on thermal efficiency in distributed systems. Along with energy and thermal efficiencies in data centers (an infrastructure that supports distributed systems), he is also interested in machine learning and big data technologies, cloud computing, operating systems. He enjoys teaching basic computer science courses such as data structures, computer algorithms, operating systems.

Jim Rogers

Research Professor and Professor of Computer Science, emeritus

Jim's primary areas of research are Computational Linguistics, Formal Language Theory and Logic.
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  • Ph.D., University of Delaware
  • M.S., University of Delaware
  • B.A. Goddard College