My research has recently focused on three topics:
- We combine various computational and observational techniques to link numerical models with data in systems of interacting galaxies. This project aims to connect dynamical parameters associated with galaxy interactions (time since the collision, mass ratios, etc.) to star formation rates and morphology.
- We harness crowd-sourced data to train neural networks in complex image identification tasks. The current project focuses on computational papyrology – the transcription and analysis of Ancient Greek manuscripts. In addition, this research focuses on how well machines can learn from imperfect data in a broader sense.
- We develop and test mixed reality systems in post-secondary STEM classrooms. Currently, this involves creating a scriptable interface for MR, developing laboratory modules, and testing it in the STEM classroom.
Fall 2021ASTR 1030 - Exploring the Universe
Spring 2021COMS 7700 - Advanced Concepts in Computational Science COMS 7900 - Computational Science Capstone
Fall 2020COMS 6100 - Fundamentals of Computational Science ASTR 1030 - Exploring the Universe
Spring 2020PHYS 2021 - Physics Problems Lab II
COMS 7654 - Professional Seminar