|
Tim Adamson 2nd Year PhD Student tim.adamson@yale.edu Website |
Tim earned a B.S. in Civil Engineering at the University of Washington with a minor in Computer Science. He began research in the field of HRI in early 2017, and is especially drawn to the areas of Social Robotics, robots in the wild, and robots interacting with groups of people.
|
view |
|
|
Emmanuel Adeniran 1st Year PhD Student emmanuel.adeniran@yale.edu |
Emmanuel is a PhD student interested in theory of mind and the effects of robot embodiment on people. He enjoys listening to interesting podcasts and working out in the gym and with occasional runs down scenic routes.
|
view |
|
|
Jake Brawer 4th Year PhD Student jake.brawer@yale.edu Website |
Jake received his BA in Cognitive Science with a minor in Computer Science from Vassar College. He is interested in bio-inspired design approaches to robot architectures and morphologies. He is particularly interested in designing systems that can both learn, and reason about their learning in a manner that is transparently communicable and intuitive to human users.
|
view |
|
|
Kate Candon 1st Year PhD Student kate.candon@yale.edu |
Kate earned a B.S. in Mathematics with Computer Science from MIT. She is interested in artificial intelligence, machine learning, human-robot interaction, and socially assistive robots. She is particularly interested in health care and elder care settings.
|
view |
|
|
Nicholas Georgiou 1st Year PhD Student nicholas.georgiou@yale.edu |
Nick received a double major in Computer Science and Computer Engineering, along with a minor in Business, from the University of Virginia. He is interested in artificial intelligence, socially assistive robotics, and human-robot interaction.
|
view |
|
|
Debasmita Ghose, 1st Year PhD Student debasmita.ghose@yale.edu Website |
Debasmita earned a BS in Electronics and Communication Engineering from Manipal University, India and an MS in Computer Science from UMass Amherst. Her areas of interest include robotic manipulation, machine learning, computer vision, and embedded system development. She is keen on exploring Human-Robot Interaction in industrial settings.
|
view |
|
|
Kayla Matheus 1st Year PhD Student kayla.matheus@yale.edu Website |
Kayla received her undergraduate degree in Mechanical Engineering and Art from Yale University in 2011. After working for multiple years in the design thinking and technology startup spaces, she discovered her passion for HRI while founding the behavior change startup, MOTI. Now, she is excited to dive deep into how socially assistive robots can be best designed across the hardware and |
view |
|
|
Meiying Qin 4th Year PhD Student meiying.qin@yale.edu |
Meiying is a fourth year Ph.D student. She has completed a double major in Psychology and Computer Science as an undergrad at the University of Toronto. She also hold a Bachelor degree in Life Science at Peking University. She is interested in human-robot interaction and animal cognition.
|
view |
|
|
Rebecca Ramnauth 1st Year PhD Student rebecca.ramnauth@yale.edu Website |
Rebecca received her MS and BS degrees in Computer Science at Long Island University. She is currently a Ph.D. student at the Social Robotics Lab interested in computational creativity for children with learning disabilities.
|
view |
|
|
Nicole Salomons 4th Year Graduate Student nicole.salomons@yale.edu |
Nicole Salomons got her BS degree in Computer Science at The Federal University of Parana in Brazil. She is currently a fourth year PhD student at the Social Robotics Lab. She is interested in artificial intelligence, tutoring systems, and computer vision. Her current work is on creating skill aware robots in collaborative manufacturing |
view |
|
|
Sarah Sebo 6th Year PhD Student sarah.sebo@yale.edu Website |
Sarah is a sixth year PhD student in the Social Robotics Laboratory. She is interested in socially assistive robotics, machine learning, artificial intelligence, and human-robot interaction.
|
view |
|
|
Nathan Tsoi 1st Year PhD Student nathan.tsoi@yale.edu Website |
Nathan is a computer scientist working on research in machine learning, computer vision and robotics. Previously, Nathan has conducted research at Stanford University in the Stanford Vision and Learning Lab under Silvio Savarese and have worked on machine learning and data engineering at Sequoia. For fun, Nathan enjoys designing |
view |
|