Hello! 👋 I'm Nicole (she/her), a PhD student and NSF graduate research fellow at Stanford University advised by Tatsu Hashimoto and Carlos Guestrin in the Stanford NLP group.
My research interests are broadly in building fair and robust AI systems.
Previously, I graduated from Princeton University with a BSE in electrical and computer engineering and minors in cognitive science and robotics, where I was fortunate to be advised by Olga Russakovsky.
We explore to what extent gendered information can truly be removed from the dataset. We develop a framework to identify gender artifacts, or visual cues that are correlated with gender.
Human evaluation framework for diverse interpretability methods in computer vision.
We identify two desiderata for explanations used to assist human decision making:
(1) Explanations should allow users to distinguish between correct and incorrect predictions.
(2) Explanations should be understandable to users.
Participated in ML Reproducibility Challenge 2020 and reproduced from scratch Singh et al. (CVPR 2020)
that mitigates contextual bias in object and attribute recognition.
One of 23/82 reports accepted for publication to ReScience C, a peer-reviewed journal for new implementations and explicit replications of previously published papers.
Implemented machine learning algorithms to predict prognosis of Multiple Sclerosis patients (able to predict walk time within 1 second accuracy).
Used k-means to cluster patients and produce more accurate predictions.
Teaching & Outreach
Creating inclusive spaces is extremely important to me as
supportive environments have been crucial to my decision to pursue a graduate degree.
Princeton TA & Grader
TA: Hold office hours, debug and grade assignments and exams.
Grader: Provide feedback to students regarding style, efficiency, design ECE/COS 306 TA: Contemporary Logic Design (Fall 2021) COS 429 TA & Grader: Computer Vision (Fall 2021) COS 217 Grader: Introduction to Programming Systems (Spring 2020) Peer Tutor for Introductory Computer Science Classes (Fall 2019-Spring 2021)
Created a free 6-week course to empower high school students from historically underrepresented minority groups with the skills to leverage data science and web development.
Taught 20 hours/week online, prepared detailed lesson plans, mentored 21 students to
complete data science project.
Improved program in second year by recruiting 10 program alumni to teach, advertise, and coordinate logistics of program.
Organized high school science competition, managing 30 person team, $23k budget, 140 volunteers, 800 participants.
Prioritized accessibility, becoming first ever invitational to provide travel scholarships to teams and no attendance fee.
Princeton Outdoor Action (Freshman Orientation)Leader Trainer, Technical Skills Trainer, DEI Committee
Plan and lead a weeklong immersion program through backcountry backpacking.
Teach other leaders-in-training necessary backcountry backpacking techniques and other leadership skills.