Teaching

I love teaching and I have many ideas for courses at both the undergraduate and graduate levels (see below).

I received teaching and classroom management training as an Instructor for DiscoverE. This training was for conducting in-classroom workshops and science camps for youth in grades 1-12. I have found this training to be useful in teaching undergraduate students as well.

I completed the Future Faculty Program, delivered though the Eberly Center for Teaching Excellence and Educational Innovation at Carnegie Mellon University. I have learned pedagogy and course design through a series of workshops, assignments, and lecture observations.

To read my teaching philosophy statement, check out my Open Source Resources page!

Courses Taught

Mock Lecture

EE: Electrical and Computer Engineering, McMaster University
Topic: Neural Evoked Responses
Jan. 2023

Mock Lecture

BME: Biomedical Engineering, Dalhousie University
Topic: Logistic Regression
Jul. 2022

Mock Lecture

HES: School of Health and Exercise Sciences, University of British Columbia – Okanagan
Topic: Contractile Properties of Skeletal Muscle
Jul. 2022

Guest Lecturer

BME 553: Rehabilitation Engineering: Assisted Movement After Injury, Department of Biomedical Engineering, University of Alberta
Topic: Invasive and Non-Invasive Spinal Cord Stimulation
Mar. 2022

Guest Lecturer

86-783: Neural Engineering Laboratory, Department of Biomedical Engineering, cross-posted with Mechanical Engineering, Neuroscience Institute, Carnegie Mellon University
Topic: Evoked Responses Part II – Intraoperative Monitoring and Spinal Reflexes
Oct. 2021

Guest Lecturer

BME 553: Rehabilitation Engineering: Assisted Movement After Injury, Department of Biomedical Engineering, University of Alberta
Topic: Stimulation of the Spinal Cord and Related Structures
Mar. 2021

Guest Proctor

BIOENG 2900: Graduate Fellowships and Proposal-Writing Workshop, Department of Bioengineering, University of Pittsburgh
Topic: Grant reviewing
Oct. 2020

Guest Lecturer

KIN 302: Human Motor Control, Faculty of Kinesiology, Sport, and Recreation,
University of Alberta
Topic: Locomotion: Circuits and Physiology
Oct. 2018

Guest Lecturer

BME 553: Rehabilitation Engineering: Assisted Movement After Injury, Department of Biomedical Engineering, University of Alberta
Topic: Intraspinal Microstimulation to Restore Walking after Spinal Cord Injury
Mar. 2015, 2016, 2017, 2018

Guest Lecturer

BME 321: Human Anatomy and Physiology: Systems, Department of Biomedical Engineering, University of Alberta
Topic: The Spinal Cord and Reflexes
Jan. 2017

Feedback from KIN 302 students

I felt the lecture was great. She was an engaging speaker and obviously is very knowledgeable in the area.

The research done in the area made the presentation really interesting!

If I were in a hardcore metal band I would write a song about the in vitro stimulation because it is so cool!

Course Plans

Neural Interfaces

This course is intended for senior undergraduate and graduate students. It covers devices used to record from and stimulate the nervous system throughout the body including, for example, brain-computer interfaces, functional electrical stimulation, and cochlear implants. Students will be provided with relevant journal articles and will be expected to discuss them during class.

Rehabilitation Engineering

This course is intended for senior undergraduate and graduate students. It covers traditional and innovative rehabilitation techniques for various neural conditions. Topics include assistive devices, physical and occupational therapy, functional electrical stimulation, and virtual reality. Students will be asked to write and present a combinatorial rehabilitative method for a population of their choice.

Biophysical Measurement and Instrumentation

This course is intended for senior undergraduate and graduate students. It covers how vital sign sensors work, electrical signals that can be recorded throughout the body, and neurophysiological monitoring methods. This is a combined lab-lecture course.

I would also feel comfortable teaching undergraduate level physiology, neurophysiology, control systems, signal processing, and machine/reinforcement learning.