Directory

Michael is a PhD student in the Communication and Collaborative Technologies Lab. His research explores how individuals leverage technology to support communication in collaborative settings. He is interested in understanding how social and cognitive factors might influence the way humans engage with other complex systems.

Areas of Interest: Human-Robot Interaction, Embodied Cognition, Computer-Supported Cooperative Work, Telepresence
 

Hauke Sandhaus is a PhD student in Information Science at Cornell Tech, currently researching wicked design problems in Human-AI-Interaction to create an ethical future of automation. Advised by assistant professor Qian Yang and co-advised by associate professor Wendy Ju, Hauke's methods address Design at the Policy and Tech level simultaneously. 

Jonathan Segal is a PhD student in Information Science at Cornell University. His research focuses on augmented and virtual reality, especially in healthcare settings. He is broadly interested in developing novel use cases for XR technologies. Prior to Cornell, Jonathan was at Iowa State University working with Dr. Michael Dorneich and Dr. Stephen Gilbert at the Virtual Reality Application Center. He is currently working with Andrea Stevenson Won.

Areas of Interest: Human-Computer Interaction, Augmented/Virtual Reality, Health Technology

Farhana Shahid (she/ her) is a PhD student in Cornell Information Science working with Professor Aditya Vashistha. She studies online communities in the Global South, and investigates issues around problematic online behavior and content moderation. Farhana did her Bachelors and Masters in Computer Science and Engineering from Bangladesh University of Engineering and Technology. Before joining Cornell she worked as a lecturer of Computer Science at Brac University.

Areas of Interest: HCI, Content Moderation, Online Communities

Eden is a Ph.D. student advised by Tanzeem Choudhury at the People-Aware Computing Lab. Before joining Cornell, Eden was a Bridge to Ph.D. Scholar at Columbia University in the Department of Computer Science and an instructor for Columbia's Pre-College Program (teaching courses in data science and machine learning). She's interested in public health infodemiology and reliable information extraction and interpretation for passive syndromic surveillance.

Areas of Interest: Public health infodemiology and reliable information extraction and interpretation for passive syndromic surveillance