2 W Loop Rd

New York, NY 10044

United States

I am currently a 4th year PhD Candidate in the Information Science department at Cornell University, based at Cornell Tech (New York, NY). I am advised by associate professor Wendy Ju, with professor Francois Guimbretiere and professor Steve Marschner on my committee.

My research focuses on human-robot collaboration for physical manufacturing and fabrication, leveraging AI and human capabilities. I am specifically interested in how machines can support the human experience of making. The methods that I use focus most on interaction design, interactive device prototyping and video analysis. You can find my cv here, my resume here, and my papers on Google Scholar or ResearchGate.

I hold a master’s degree in Artificial Intelligence from Utrecht University (M.S.), and a bachelor’s degree in Industrial Design from Eindhoven University of Technology (B.S.). Between 2017 and 2020 I was employed as Human-Machine Interface Researcher at Jaguar Land Rover Automotive PLC, based at the National Automotive Innovation Centre in Coventry, United Kingdom. Other work experiences include Toyota Research Institute and Accenture Labs R&D.

My work has been published in top venues in human-computer interaction and human-robot interaction, including IJHCS and IROS, and I co-authored work shown at CHI, SCF, HRI, TEI, AutoUI and IEEE IV.

news

Apr 3, 2024	While I won’t be attending CHI this year, Frank Bu will present our late-breaking report with field notes on deploying research robots in public spaces. We hope that this work can contribute to more in-the-wild human-robot interaction studies! Read the pre-print here.
Mar 4, 2024	In a few weeks I will be attending HRI in Boulder, Colorado! I’m participating in the 1st International Workshop on Worker-Robot Relations. You can read my accepted position paper here.
Jan 22, 2024	Two new arXiv pre-prints are out: recent work led by Natalie Friedman and Daniel Zhou’s internship project.
Jan 12, 2024	Accenture’s 2024 TechVision report features our recent work on learning from facial reactions. “Similarly, a 2023 research paper from Accenture and Cornell University describes a way human-robot collaborations can benefit when robots can identify when they’ve made an error based on implicit reactions from humans they interact with – much like how people use social cues to recognize their own mistakes. The authors built a dataset of bystander responses to human and robot errors and used it as input to a deep-learning model to predict failures. By creating these systems that are sensitive to human social signals, they are efficiently using the expertise of human perception and action as a marker for mitigating robotic errors.”
Dec 13, 2023	Our IROS 2023 paper “The Bystander Affect Detection Dataset for Failure Detection in HRI” is now readable in IEEE Explore.
Dec 7, 2023	University of Cambridge published a story around our recent article in IEEE Intelligent Vehicles. Read it here: “Using machine learning to monitor driver ‘workload’ could help improve road safety”
Nov 8, 2023	Ever been on a car ride that felt like it would never end? Our work on social discomfort in cars is now available on arXiv. Check out the comics at least!
Oct 5, 2023	Our newest work on collaborative creative machines will be showcased at the ACM Symposium on Computational Fabrication 2023 at Cornell Tech, NYC. Read the paper in the conference proceedings!
Aug 17, 2023	The collaborative work I was a part of during my time at Jaguar Land Rover has now resulted in another accepted paper! Together with our colleagues from Cambridge University, “Driver Profiling and Bayesian Workload Estimation Using Naturalistic Peripheral Detection Study Data” can now be found in IEEE Transactions on Intelligent Vehicles.
Aug 10, 2023	Just attended SIGGRAPH in Los Angeles, which was a blast!
Jun 25, 2023	Our paper “The Bystander Affect Detection (BAD) Dataset for Failure Detection in HRI” has been accepted to IROS 2023! I will be presenting the findings of our paper in Detroit, on the 4th of October. Find out more about the project on our website.
Jun 5, 2023	First day at Accenture Labs San Francisco, where I’ll spend the summer working as Associate Principal.
May 25, 2023	I passed my Admission to Candidacy (A-Exam) today! This milestone marks completion of the “master’s” part of the Cornell Information Science PhD, and means that I am done with all-but-dissertation.
Mar 1, 2023	Going to attend HRI in Stockholm to participate in the workshop “The Imperfectly Relatable Robot”.
Jun 20, 2022	Presenting my thesis topic “A computer that sketches along with you” at Creativity and Cognition in Venice!
May 15, 2022	Visiting Prof. Antti Oulasvirta at Aalto University, Helsinki to work on mixed-initiative HRI, funded by the Finnish Center for AI.
Apr 29, 2022	David Goedicke is presenting our paper “XR-OOM” at CHI, New Orleans, LA.
Apr 28, 2022	XR-OOM was featured in Cornell Chronicle.
Mar 7, 2022	Participated in Dagstuhl Seminar 22102 in Wadern, Germany.