Hi there, I’m Emily!
I’m a Ph.D. student in the Department of Computer Science and the Institute of Cognitive Science at CU Boulder advised by Sriram Sankaranarayanan and Brad Hayes. In general, I’m interested in using autonomous systems to teach people complex tasks. You can read more on my research page.
One of my goals in grad school is to maintain a life outside of grad school; depending on the day, you can find me drinking tea, reading dystopian novels, knitting, running or hitting the trails (sometimes at the same time), and messing around on my piano. I also sporadically post an open diary of sorts on this site to show that goals, motivation, and progress through grad school (and life) isn’t anywhere close to linear.
As someone with interests at the intersection of a lot of different fields, I really struggled through the graduate school application process. On top of that, I didn’t know what to look for in a program or what the daily life of a graduate student looked like. If you have questions about these as well, I would be happy to chat about my experience or connect you with someone else.
I am open to job opportunities starting in Fall 2024; if you are looking for a post-doc or a researcher to join your team, please contact me!
|Jun 14, 2023||I gave a seminar talk on my recent work in skill assessment at the MIRRORLab at Colorado School of Mines.|
|May 24, 2023||My collaborators and I organized a workshop at CPS-IoT Week called Humans in Cyber-Physical Systems Safe Teleoperation through Shared Control|
|Jan 23, 2023||Paper “More Than a Number: A Multi-dimensional Framework For Automatically Assessing Human Teleoperation Skill” accepted to Human-Robot Interaction conference.|
|Nov 14, 2022||I’ll be presenting my work on risk fields as a Fellow at CPHS 2022 in December.|
|Aug 15, 2022||Paper “Using Artificial Potential Fields To Model Driver Situational Awareness” accepted to CPHS Workshop.|
- CHIToward Automated Feedback on Teacher Discourse to Enhance Teacher LearningIn 2020 CHI Conference on Human Factors in Computing Systems Proceedings (CHI 2020) 2020
- LAKWhat You Do Predicts How You Do: Prospectively Modeling Student Quiz Performance Using Activity Features in an Online Learning EnvironmentIn LAK21: 11th International Learning Analytics and Knowledge Conference (LAK21) 2021
- CPHSUsing Artificial Potential Fields To Model Driver Situational AwarenessIn 4th IFAC Workshop on Cyber-Physical Human-Systems Dec 2022
- HRIMore Than a Number : A Multi-dimensional Framework For Automatically Assessing Human Teleoperation SkillIn Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction Mar 2023