Student Research in Mathematics and Computer Science

One of the hallmarks of Davidson College is the opportunity for students to work on significant projects as undergraduates.

Many students are involved in research work at Davidson beyond the scope of usual coursework, through summer research projects, research assistance to faculty, independent studies, honors projects, and more, thanks in part to external faculty grants, as well as internal collaborative grants to faculty or students, such as the Davidson Research Initiative.

Students pursue research in pure and applied mathematics as well as computer science, investigating areas such as graph theory, sports analytics, virtual reality, machine learning, and bioinformatics (in conjunction with in genomics).

Contacts for these and other possible summer experiences are available on a list of summer opportunities in mathematics and computer science.

Student Research Projects

View All Past Student Projects


Name Project Area: Topic, specific type or product Faculty Mentor
Megan Goodling '19 Artificial Intelligence: On the Ethics of Artificial Intelligence; Independent Study R. Ramanujan, D. Layman (Philosophy)
Team of around 70 students Cats Stats sports analytics: for Davidson College teams in men’s and women’s basketball, volleyball, swimming, football, women’s soccer and baseball. T. Chartier
Jacob D'Aurizio '19 Combinatorics: Explorations in lattice path enumeration; sponsored by FS&R grant  Y. Zhuang
Crossan Cooper '20, Will Jones '19 Combinatorics: Gamma-positivity in permutation enumeration; Independent Study; paper submitted. Y. Zhuang
Zach Nussbaum '19 Computer Systems and Networking: Byzantine Agreement; Independent Study.  H. Mendes
Blake Skelton '20 Computer Systems and Networking: Disaster Relief and Gap-Less Surveillance Using Drone Swarms, Kemp Scholars Program. H. Mendes
Mutian Chen '19 Computer Systems and Networking: Native Code Sandboxing on Web Browsers; Independent Study.  H. Mendes
John Dale '20, Mutian Chen '19 Computer Systems and Networking: Network Data Analysis. Partnership with the Hub.  H. Mendes
Harry Zhou '19, Matt Days '19 Computer Systems and Networking: Simulation of Distributed Sytems. Independent Study.  H. Mendes
Sam Thomas '20 Computer Systems and Networking: Stacking Data Structures for Increased NUMA Locality, FS&R grant.  H. Mendes
Matthew LeBar '19 Computer Systems and Networking: The relationship Voting Theory and Distributed Computing; Independent Study.  H. Mendes
Aidan O'Neill '20 Computer Systems and Networking: Using remote memory in RDMA systems as if they were local; DRI fellowship.  H. Mendes
Altan Tutar '20 Computer Systems and Networking: Using Transactional Memory in Skip Graphs. Independent Study & Alvarez Fund.  H. Mendes
Team of 3 students Data Analytics and Statistical Modeling: of migraine headache data, in a collaboration sponsored through The Hurt Hub@Davidson L. Heyer
Kenneth Martin '19 Data Analytics: Scalable Ranking Algorithms for big data; Independent Study T. Chartier
Savannah William '19 Graph Theory: Zero Forcing Polynomials: Mapping Spiders to Paths; Honors Thesis H. Smith, D. Molinek
Ryan Strauss '20 Machine Learning: classify experimental products in the AT-TPC experiment at the Facility for Rare Isotope Beams at Michigan State University; Independent Study R. Ramanujan, M. Kuchera (Physics)
Ryan Strauss '20 Machine Learning: Creating a universal Monte Carlo event generator for inelastic particle scattering experiments in nuclear physics at the Jefferson Lab, VA; Independent Study R. Ramanujan, M. Kuchera (Physics)
Andrew Hoyle '21, Jose Cruz, CPCC Machine Learning: for data formatting and analysis for the Hall B drift chamber; DRI and FS&R R. Ramanujan, M. Kuchera (Physics)
Evan Pritchard '22, Michael Robertson '20 Machine Learning: for event simulation for the electron-ion collider, supported by Jefferson Lab, VA R. Ramanujan, M. Kuchera (Physics)
Sarah Eisenach '19 Machine Learning: predict pharmacological properties of compounds from their structural descriptions; Independent Study R. Ramanujan, E. Stevens (Chemistry)
Ryan Strauss '20 Machine Learning: redirected walking in virtual environments; DRI R. Ramanujan, T. Peck
John Blue '21, Dulce Jarquin Pacheco, J.C. Smith U. Machine Learning: track reconstruction for the Mg-22 experiment in the AT-TPC at Michigan State University; DRI R. Ramanujan, M. Kuchera (Physics)
Abby Santiago '22, Ben Santiago '22 Machine Learning: understanding the success of AlphaZero and deep reinforcement learning in Chess; RISE Fellows R. Ramanujan
Meg Houck '20, Eleni Tsitinidi '21 Machine Learning: using a mixture density network to interface between experimental observables and QCD theory, supported by Jefferson Lab, VA R. Ramanujan, M. Kuchera (Physics)
Michael Robertson '20 Numerical Linear Algebra: On the non-symmetric tridiagonal polynomial eigenvalue problem. T. Cameron
Lawrence Guo ’20 Probability & Graph Theory: properties of sinks in random Greatest Increase Grid (GIG) digraphs; DRI followup L. Heyer
Huseyin Altisinik ’20 Project PRONTO Software: making improvements to the Faculty Workload Tracker L. Heyer
Savannah William '19 Real Analysis: Integration and Function Spaces; Independent Study R. Neidinger
Aidan O'Neill '20 Scientific Computation: On a compensated polishing technique for polynomial root solvers; submitted to SIAM J. Sci. Comput.  T. Cameron
Max Li '20 Sports Analytics: analysis of the hot hand phenomenon; DRI T. Chartier
George Baldini '19 Sports Analytics: Big Data in Sports, highlighted in ESPN Magazine article;  Independent Study T. Chartier
Team of 4 students Sports Analytics: for CBS during March Madness, supply game-time analytics to John Tobias. T. Chartier
Team of 3 students Sports Analytics: for Fox Sports. supplying game-time analytics to John Tobias during women’s World Cup. T. Chartier
Team of 3 students Sports Analytics: for the United States Olympic Committee, scraping data for their analytics team. T. Chartier
Michael Freeman  '20 Sports Analytics: rankability questions and predictive analytics for the Major League Baseball playoffs. T. Chartier
Haley Seligmann ’20 Synthetic Biology: analysis, 3D print design, and research comparisons for the interdisciplinary team L. Heyer
Team of 5 students Virtual Reality: DRIVE Lab (Davidson research in immersive virtual environments) T. Peck
Niall Williams ’19 Virtual Reality: Estimation and Comparison of Rotation Gain Thresholds for Redirected Walking; Honors Thesis; version published by IEEE TVCG T. Peck
Katherina Seitz '20, Evan Blanpied '20 Virtual Reality: Investigating human behavior in VR T. Peck, J. Good (Psychology)
Altan Tutar '20 Virtual Reality: Investigating the impact of virtual and real hand placement in VR; Independent Study; Best Poster Award, IEEE Virtual Reality 2019, Osaka, Japan  T. Peck
Sarah Hancock '21 Virtual Reality: Investigating the participant demographics in VR experiments T. Peck, L. Sockol (Psychology)
Kern Qi '21, Niall Williams '19 Virtual Reality: Investigating the use of haptic devices to teach pre-service elementary educators physics concepts; NSF funded with NC State and UNC Chapel Hill  T. Peck
Team of 3 students Web App Development: Client, staff and student portals for the Gig-Hub micro-internship program at the Hurt Hub L. Heyer