Department Directory

Nanyi is a Ph.D. student working at the Robots in Groups Lab. Her work critically examines human-nonhuman relationships mediated by emerging technologies in wearables and built environments. She tells stories of multispecies futures through design fictions and makes artifacts with accessible materials. Prior to Cornell, she received her B.A. in Economics from UCLA and an M.F.A. in Media Design Practices from ArtCenter College of Design.

Areas of Interest: Human-nonhuman relationships mediated by emerging technologies in wearables and built environments
 

Crescentia is a Ph.D. student in Information Science interested in human-computer interaction and accessibility. Prior to Cornell, she received her bachelor’s degree in Computer Science at the University of Wisconsin-Madison.

Kowe Kadoma is a PhD student in Information Science focusing on Human-Computer Interaction (HCI) and AI Ethics. She is interested in how AI practitioners incorporate ethical principles into their work and developing evaluation frameworks for emerging language technologies. Prior to joining Cornell, she received an undergraduate degree in Computer Engineering from Florida A&M University.
 

Daye's research interests rest at the intersection of Human-Computer Interaction (HCI), data visualization, and data science. Her interest is in developing intelligent interfaces that make data more comprehensible by leveraging intuitive designs in interactive data visualizations. She believes this to be particularly impactful for promoting collaborations and productive discussions in a data-driven world.

Keigo Kusumegi is a PhD student in Information Science at Cornell University. His research interests include Network Science, Science of Science, and Computational Social Science. Before Cornell, he received B.S. and M.S. in Policy and Planning Sciences from the University of Tsukuba, Japan.

Areas of Interest: Computational Social Science, Science of Science, Network Science

Haesoo Kim is a Ph.D. student in Cornell Information Science, studying social dynamics in online spaces. Haesoo's work focuses broadly on the novel interactions enabled by online social platforms, exploring the values and behaviors that emerge from the process. She is particularly interested in exploring online social behavior through qualitative and interface-driven perspectives. Prior to joining Cornell, Haesoo received a Master's degree in Computer Science at KAIST, co-advised by Juho Kim and Jeong-woo Jang. She also has Bachelor's degrees in Computer Science, Psychology, and Information Science & Culture from Seoul National University. Haesoo is currently part of the Social Media Lab at Cornell, advised by Natalie Bazarova.

Areas of Interest: Computer-supported cooperative work, Social media, Computer-mediated communication, Online communities
 

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

Tuan-he studies technology and mental health care with a focus on supporting the often overlooked supporters — family members, significant others, and friends who provide crucial support to loved ones with mental illness. She is interested in technology as a mechanism to enhance well-being among remote supporters. Tuan-he earned double master degrees in Media and Communications from the London School of Economics and Political Science and Sociology at the University of Amsterdam.

Ke Li is a Ph.D. candidate at SciFi Lab (https://www.scifilab.org) in College of Computing and Information Science at Cornell University, advised by Prof. Cheng Zhang (https://czhang.org). His research interests cover a wide range of Ubiquitous Computing, Sensing Systems, Wearable Devices, and Artificial Intelligence (AI). Prior to joining Cornell, he received a Bachelor of Science Degree in Information Engineering from Shanghai Jiao Tong University (SJTU).

Areas of Interest: Ubiquitous Computing, Sensing Systems, Wearable Devices, Artificial Intelligence (AI)