Directory

Pin-Sung Ku is a Ph.D. student in Information Science at Cornell University. His research is focused on human-computer interaction, ubiquitous computing, and wearable technologies. Prior to Cornell, he earned a Master's degree in Computer Science; and a Bachelor's degrees in Physics, all from National Taiwan University.

Areas of Interest: Human-Computer Interaction, Wearable Computing

Interested in tools that support human creativity, ability, and understanding through computation, fabrication and visualization.

Areas of Interest: HCI Digital Fabrication Open Hardware

Nayeon is a Ph.D. student in Information Science at Cornell University, where she explores how tangible interaction and mixed reality (AR/VR) can support inclusive, user-centered experiences. Her research focuses on designing technologies that foster communication, connection, and well-being, particularly within healthcare, education, and collaborative settings. She holds both a Master’s degree in Information Science and a Bachelor’s degree in Design + Environmental Analysis from Cornell. She is advised by Professor Keith Evan Green in the Architectural Robotics Lab.

Ben is interested in the values and politics embedded in technological systems, particularly those deployed in high-impact, high-complexity domains in the public realm. He graduated from Princeton University, where he majored in Operations Research & Financial Engineering, with certificates in Urban Studies and Environmental Studies.

Areas of Interest: Socio-technical systems, Values and technology, Machine learning, Data Science, Computational Social Science, Artificial Intelligence, Surveillance, Privacy, Data Governance Critical Data Studies
 

Chi-Jung is a Ph.D. student in Information Science at Cornell University, advised by Cheng Zhang at SciFi Lab. She received her M.S. in Computer Science and Information Engineering from National Taiwan University and B.S. in Computer Science and Management and Technology from National Tsing Hua University. Chi-Jung's research interests focus on technical HCI, currently working on sensing and interactive systems to enable natural interaction and reduce the real and virtual world gap.

Jinsook Lee is a PhD student in Information Science focusing on Data Science in Education and Algorithmic Fairness/Bias. Her current research focuses on applying ML/NLP to the college admission process and its fairness/bias working with Rene Kizilcec and Thorsten Joachims. Prior to Cornell, Jinsook worked at Korea University as a data scientist for developing course/major recommender systems for undergraduate students. She completed her master's degree in Fashion Marketing/Human Ecology at Korea University and her bachelor's degree in Education at the same institution.

Areas of Interest: Data Science in Education, Higher Education, Algorithmic Fairness/Bias