The Harvey Mudd College Department of Computer Science graduated its first class in 1992. Since then, the department has grown to its current size of thirteen tenure-track faculty, several visiting faculty, and four staff members.

In addition to the Computer Science Major, the department supports the Joint Major in Computer Science and Mathematics and the Mathematical and Computational Biology Major. There are currently approximately 80 students total per graduating class in these three majors.

The department works closely with our sister departments at Pomona and Claremont McKenna Colleges and our courses draw students from all five Claremont Colleges and the Claremont Graduate University.

The department seeks to provide students with a strong foundational background blending experimentation, theory, and design. Our graduates are equally well-prepared for work in industry and graduate school. The capstone Clinic Program provides students with a year-long software design project and our active Research Program involves approximately 50 students in research, funded by grants and gifts from the National Science Foundation, Howard Hughes Medical Institute, and the Rose-Hills and Baker Foundations.

Department News

  • Students and faculty across the Claremont Colleges have two papers accepted to The 17th Asia Pacific Bioinformatics Conference.  Melissa Grueter (Pomona) '18, Kalani Duran '21, Rayma Ramalingam '21, and Professor Ran Libeskind-Hadas have an article titled "Reconciliation Reconsidered: In Search of a Most Representative Reconciliation in the Duplication-Transfer-Loss Model."  Haoxing Du '19, Yi Sheng Ong '19, Marina Knittel '18, Ross Mawhorter '19, Ivy Liu '20, Gianluca Gross (UPenn) '19, Reiko Tojo '18, Professor Ran Libeskind-Hadas, and Professor Yi-Chieh (Jessica) Wu have an article titled "Multiple Optimal Reconciliations under the Duplication-Loss-Coalescence Model."  Both papers study how to map gene histories within species histories and how to handle the problem of multiple equally optima mappings.
  • Professor Colleen Lewis received five years of funding from the National Science Foundation as a co-PI for a project with the Computing Research Association (CRA): "Developing Evidence-based Best Practices for Broadening Participation in Computing Education." This project will be combining the CRA's student-level survey data with departmental data in order to examine factors that impact students' persistence in computing.  In doing so, we will be providing the computing community with empirically grounded best practices to support the community's efforts for broadening participation in computing.
  • Professor Julie Medero was one of 15 participants selected to participate in the Post-Carbon Cities of Tomorrow (POCACITO) in Germany program in May 2018. Through the program, Professor Medero met with faculty, city officials, transit agencies, regional planning authorities, and NGOs in Dresden, Berlin and Hannover. POCACITO Germany brings young professionals from the United States to Germany, establishing transatlantic connections and relationships that will enhance sustainable endeavors on both sides of the Atlantic. The program is an initiative of Ecologic Institute in Washington, DC, and is supported financially through a European Recovery Program (ERP) grant from the German Federal Ministry for Economic Affairs and Energy (BMWi).
  • Professor Yi-Chieh (Jessica) Wu has received a National Science Foundation Faculty Early Career Development grant for her project "CAREER: Algorithms for Gene Family Evolution with Gene Duplication, Loss, and Coalescence".  This work will develop models and algorithms in the field of phylogenetic reconciliation, which compares the evolutionary history of genes and species to infer the events that link them.
  • Doren Lan '18, Katherine Reed '18, Austin Shin '18, and Professor Beth Trushkowsky have a paper titled Dynamic Filter: Adaptive Query Processing with the Crowd, which appeared at the AAAI Conference on Human Computation. The paper describes an adaptive query processing algorithm that leverages human computation to filter data based on criteria that may be subjective and/or require visual or semantic interpretation.
  • Future faculty member George Montañez has won a Best Poster award and a Best Student Paper award at the International Joint Conference on Neural Networks (IJCNN 2017). The awards recognizes Professor Montañez's work, co-authored with Professor Cosma Shalizi (Carnegie Mellon University), entitled The LICORS Cabinet: Nonparametric Light Cone Methods for Spatio-Temporal Modeling. The paper deals with the problem of modeling video and other high-dimensional spatio-temporal data.