The Mathematical, Computing, and Statistical Sciences Division of CUR is pleased to announce three awards to honor mentors for their success in mentoring undergraduate students in research. Faculty mentoring interdisciplinary projects are encouraged to apply as long as those projects involve a major mathematics, computer science, or statistics component.
Typically, one award will be made in each of the three categories below, but in the case of exceptional applications, more than one of the awards may be given in the same category.
- Early Career: Faculty who are 0-7 years past their Ph.D.
- Mid Career: Faculty who are 7-15 years past their Ph.D.
- Advanced Career: Faculty who are 15 years past their Ph.D.
Deadline
Application submissions were due by April 15, 2023.
Please upload all nomination materials as one combined PDF, 16MB maximum file size.
Nomination Process
Applications should be compiled into one PDF, 16MB max file size package containing the following items:
- Applicant Letter: The mentor will provide an explanation of their cumulative mentoring activities involving undergraduate research students. The letter should clearly link to the Evaluation Criteria Sheet and should include a brief discussion on the applicant’s mentoring goals and/or philosophy. (two page limit)
- Curriculum vitae: List only details relevant to applying for the award including a brief bio info for applicant (e.g., contact and education info), names of undergraduate students mentored, presentations by these students, publications by these students, awards received, etc. See Evaluation Criteria Sheet. (two page limit)
- Letter from a Colleague: A recommendation letter from a colleague of the applicant who can address the applicant’s mentoring of students in undergraduate research (two page limit).
- Letters from Students: Two recommendation letters from students who were mentored by the applicant. One such letter must be from a student who was mentored by the applicant within the past five years. (one page limit per letter).
Review Process
Division Councilors will review the completed applications and will determine the award winner. The awarded mentors will be notified at the end of May.
Review Criteria
- Evidence of undergraduate student mentoring.
- The number of students mentored in research.
- Evidence of professional development of students mentored.
- The number of students presenting their work at conferences and meetings. National and discipline-specific conferences are generally considered more important than internal or regional conferences.
- The number of publications co-authored by students. Publications in discipline-specific journals should be considered more important than those in general undergraduate research journals.
- Evidence of activities within the research program that develop students into effective researchers as they are going through the experience. These activities should provide support that enables student success. Examples: structured mentoring programs (like pairing with more advanced students), regular faculty-student meetings, expectations for students to write research reports and to give presentations, etc.
- Specific examples as described in the letter of application and the letters of support by the colleague and students.
- Reflective discussion of mentoring goals.
- Evidence of impact and success.
- Clear evidence of how the research experience has impacted post-graduate success in graduate school or in students’ careers.
- Awards received by students for their presentations or publications.
- Awards or grants received by faculty for mentoring students.
- Publications or invited presentations given about mentoring students.
- Specific examples as described in the letter of application and the letters of support by the colleague and students.
Questions
For questions regarding this award, please reach out to CUR@CUR.org.
Past Award Recipients

- Advanced Career: Jan Rychtar, Virginia Commonwealth University, Department of Mathematics and Applied Mathematics
- Mid Career: Dominic Klyve, Central Washington University, Department of Mathematics

- Early Career: Daehan Kwak, Kean University, School of Computer Science and Technology
- Advanced Career: Christopher Seaton, Rhodes College, Department of Mathematics and Computer Science
- Mid Career: Erik Insko, Florida Gulf Coast University, Department of Mathematics
- Early Career: Rania Hodhod, Columbus State University, TSYS School of Computer Science
- Mid Career: Carolyn Otto, University of Wisconsin-Eau Claire, Department of Mathematics
- Mid Career: Rachael Miller Neilan, Duquesne University, Department of Mathematics and Computer Science
- Early Career: Vinodh Chellamuthu, Dixie State University, Department of Mathematics
- Advanced Career: Kenneth Berenhaut, Wake Forest University, Department of Mathematics and Statistics
- Mid Career: Manda Riehl, Rose-Hulman Institute of Technology, Department of Mathematics
- Early Career: Pamela Harris, Williams College, Department of Mathematics and Statistics
- Liz Bouzarth, Furman University, Department of Mathematics
- Gabriela Marcu, University of Michigan, School of Information
- Karl Schmitt, Valparaiso University, Department of Mathematics and Statistics
- Mason Porter, UCLA, Department of Mathematics
- Jennifer Daniel, Lamar University, Department of Mathematics
- Zach Abernathy, Winthrop University, Department of Mathematics
- Alex Capaldi, Valparaiso University, Department of Mathematics and Statistics
- Patricia Morreale, Kean University, Department of Computer Science
- Anthony Tongen, James Madison University, Department of Mathematics and Statistics
- Kumer Pial Das, Lamar University, Department of Mathematics
- Hala ElAarag, Stetson University, Department of Mathematics and Computer Science
- Narayan Thapa, Minot State University, Department of Mathematics and Computer Science
- Chad Awtrey, Elon University, Department of Mathematics and Statistics
- Daniel Maxin, Valparaiso University, Department of Mathematics and Computer Science
- Akilu Zeleke, Michigan State University, Department of Statistics and Probability
- Aihua Li, Montclair State University, Department of Mathematical Science
- Lara Pudwell, Valparaiso University, Department of Mathematics and Computer Science
- Patrick Rault, SUNY – Geneseo, Department of Math