Danielle A. Ripsman

Ph.D. in Management Science & Engineering
Operations Research | Healthcare Applications | Analytics & Optimization

Teaching & Mentorship

Teaching Experience

MSCI 331: Introduction to Optimization (2023) — Instructor
2 TAs, 112 Students, 7-10PM Weekly Classes + Weekly Tutorial.

Teaching Assistant Experience

MSCI 251: Probability and Statistics for Engineers 1 (2019, 2020*, 2021, 2022*, 2023)
MSCI 734: Applied Optimization (2023)
MSCI 703: Applied Optimization (2022)
MSCI 435: Advanced Optimization Techniques (2022)
MSCI 401 & 402: Capstone Design Project (2019)
MSCI 436: Decision Support Systems (2017)
MSCI 331: Introduction to Optimization (2017)

Distinctions

Sandford Fleming Foundation TA Award

In 2020 (denoted by a *), I was awarded the Sandford Fleming Foundation TA award for MSCI 251. My duties included adapting a weekly R programming lab (which I had originally prepared the curriculum for and taught live in 2019) to an online format, teaching, preparing instructions, videos, and grading. I was again given this award for the in-person 2022 year.

Mentorship

During my time at the University of Waterloo, I had the privilege of mentoring undergraduate researchers on various optimization and healthcare projects.

Gatik Gola 2023

Project: worked on implementations for my proposed voxel sampling project

Karina Wilk 2023

Project: pushed forward the pipeline connecting our labs optimization problems to our local cancer centre

William Kwong 2021-2022

Project: designed an interface for the seamless running of sampling protocols for fluence map optimization

Tiantian Li 2021

Project: looked into adapting existing, open-source radiation therapy tools to optimization software

Gogilan Selvarajah 2019

Project: worked on sliding window IMRT visualization

Jessie Yeung 2018

Project: worked on IMRT sliding window modeling