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publications
Practical and Effective Heuristics for the Backhaul Profit Maximization Problem
Published in , 1900
This paper is about heuristics for BPMP.
Recommended citation: D. Ryan, T. Lam, Y. Dong, & E. Olinick, “Practical and Effective Heuristics for the Backhaul Profit Maximization Problem”, in preparation
talks
The Backhaul Profit Maximization Problem
Published:
Given as a part of the Summer Undergraduate Research Program with the SMU Lyle school of Engineering, where I introduced the Backhaul Profit Maximization Problem to an audience of faculty, parents, and other undergraduate researchers. I dicussed the greedy heuristic algorithms developed during the length of the project as well as some promising results.
Applied Mathematics Meets Quantum Mechanics
Published:
Talk was given at the Hamilton Scholars Reception at the end of the school year, towards the audience of donars, faculy, and other students. Intoduced quantum computing in a very high level, as well as some relevent applications for applied mathematicians. This included the quantum linear system problem, monte carlo, and quantum random walks.
Applications of Machine Learning in Nuclear Data Evaluation
Published:
Introduced a method for using sensitivity tests and machine learning methods to explore various steps in the nuclear data pipeline. Focused on photon induced reactions with a neutron decay channel.
teaching
Grading Assistant
MATH 3302: Multi-Variable and Vector Calculus, Southern Methodist University, Fall 2023 / Spring 2024