Tyler Perini CV

AWARDS

2021 Ph.D. in Operations Research, Georgia Institute of Technology

2016 B.S. in Mathematics, College of Charleston

D. Pecin, I. Herszterg, T. Perini, N. Boland, & M. Savelsbergh (2023). A fast and robust algorithm for solving biobjective mixed integer programs. Mathematical Methods of Operations Research.

Y. Wang, T. Perini, P. Keskinocak, H. Smalley, and J. Swann (2023). Evaluating the effectiveness of potential intervention methods for Guinea worm disease in dogs. The American journal of tropical medicine and hygiene.
S. Helfrich, T. Perini, P. Halfmann, N. Boland, & S. Ruzika (2023). Analysis of the weighted Tchebycheff weight set decomposition for MODO problems. Journal of Global Optimization.
T. Perini, A. Langville, G. Kramer, J. Shrager, & M. Shapiro (2023). Weight set decomposition for rank aggregation: Interpretable and visual decision support tool. AMS Journal on Foundations of Data Science.

T. Perini, P. Keskinocak, Z. Li, E. Ruiz-Tiben, J. Swann, & A. Weiss (2020). Agent-Based Simulation for Seasonal Guinea Worm Disease in Chad Dogs. The American journal of tropical medicine and hygiene, 103(5), 1942-1950.
T. Perini, N. Boland, D. Pecin, & M. Savelsbergh (2020). A criterion space method for biobjective mixed integer programming: The boxed line method. INFORMS Journal on Computing, 32(1), 16-39.
M. Belgin, T. Perini, ... & N. C. Bright (2019). A data‐driven support strategy for a sustainable research software repository. Concurrency and Computation: Practice and Experience, 31(20), e5338.

D. Qiu: master's student (topic: inverse optimization for multiobjective integer programs), 3 semesters
M. Brun: Independent study (topic: Lagrangian duality for multiobjective discrete optimization) & NSF GRFP application, senior undergraduate
J. Yaffee: Research Experience for Undergraduates (topic: economic interpretations of scalarizations and duality for multiobjective optimization), two summers beginning after first-year
C. Tolbert (topic: Lagrangian duality applied to weighted Tchebychev for biobjective network flow problems), undergraduate, 1 semester
N. Patnaik (topic: economic interpretations of scalarizations and duality for multiobjective optimization), undergraduate, 1 semester, underrepresented minority
D. Qiu (topic: inverse optimization), masters student, 2 semesters

Teaching

MAA (2-part) Webinar, Fall 2021. Put on Your Hard Hat: Let's Deconstruct Calculus! Copresenters: Tim Chartier, Amy Langville, Kathryn Pedings-Behling.
Teaching, Learning, & Technology Conference, College of Charleston, May 2022. Active Learning in the STEM Classroom Using the Deconstruct Pedagogy. Copresenters: Amy Langville & Kathryn Pedings-Behling.

Research

Diversity

INFORMS Annual Meeting, Fall 2021. We're Here: LGBTQ+ Stories of Identity, Community, and Mentorship from IMFORMS Members.

End of semester survey (in the form of Poll Everywhere word cloud):
How would you describe 378? (CAAM 378 Fall 2021)

Instructor for Real Analysis (Rice CMOR 501) for first year PhD students. Fall 2022: ongoing.
Instructor for Introduction to Operations Research and Optimization (Rice CAAM 378)
Fall 2021: 1 section of 38 students. Spring 2020: 1 section of 30 students. (Both in-person with remote accomodations).
Piloting assignment design: open-ended "Mini-Projects" throughout the semester designed for breadth (open to creativity) and depth (applications of advanced concepts) while developing mathematical communication skills through technical writing and visual design.
Center for the Integration of Research, Teaching, and Learning Associate Level Certification (GT Fall 2020)
Tech to Teaching Certification (GT Spring 2021)
Graduate Student Instructor for Engineering Optimization (GT ISYE 3133)
2 sections of 30 students each (virtual synchronous).
Teaching Assistant for Probability with Applications (ISYE 2027).
59 students. 13 CIOS scores: range 3.8-4.4 out of 5 (interpolated mean, 95% response rate).