Daniel is a first-year PhD student in the Paul G. Allen School of Computer Science and Engineering. He is advised by Drs. Jennifer Mankoff (Computer Science) and Jeffrey Lipton (Mechanical Engineering). He graduated from Texas A&M University with a BS in Electrical Engineering (2012) and an MS in Electrical Engineering from Georgia Tech (2016) and afterwards worked at Texas Instruments Kilby Research Labs (2016-2019).
Daniel’s research interests lie at the intersection of inverse design, additive manufacturing, and accessibility of fabrication. His prior work focused on industrial scale additive manufacturing applications; however, he has since turned his focus toward software solutions to enable the design of intricate digital models with minimal effort.
Taylor is a first-year PhD student in the Paul G Allen School of Computer Science and Engineering. She is advised by Professor Jennifer Mankoff. In 2017, she graduated from the University of California, Santa Cruz with bachelor’s degrees in Computer Engineering and Cognitive Science. She then earned her Masters in Human Computer Interaction from Rochester Institute of Technology in 2019.
Her research interests focus on trying to make fabrication more accessible for people with disabilities. Her prior research explored how to make the e-textile circuit development process more accessible for adults with intellectual disabilities. Her recent projects focus on understanding the kinds of difficulties that people with disabilities face while knitting, and developing technologies to help users overcome some of these difficulties.
Kelly is a Phd Student in the Paul G. Allen School of Computer Science and Engineering at the University of Washington. She is advised by Prof. Jennifer Mankoff. She completed her bachelors in Computer Science at the University of Illinois at Urbana-Champaign in 2019, where she was advised by Prof. Aditya Parameswaran and Prof. Karrie Karahalios. She is an NSF Fellow and an ARCS Scholar.
Her research focuses on applying computer science and fabrication techniques to create or improve technologies that serve people with disabilities. Her recent projects focus on deaf and hard of hearing people and people with visual impairments, such as investigating the accessibility issues Deaf signers face on social media and improving tactile map creation for people who have visual impairments.
I am a PhD student at the University of Washington’s Paul G. Allen School of Computer Science and Engineering. My current research is focused on human behavior modeling. More specifically, I model and study routine behaviors and the impact of external events on them in the context of wellbeing and mobility. I am also interested in end-user tools and interfaces to improve data collection, exploration, and analysis processes.
My past research spans from designing interfaces for end-user robot programming, to modeling human-object interactions in realistic videos, to studying affective haptic human-robot interaction for psychological enrichment.
Venkatesh Potluri is a Ph.D. student at the Paul G. Allen Center for Computer Science & Engineering at University of Washington. He is advised by Prof Jennifer Mankoff and Prof Jon Froehlich. Venkatesh believes that technology, when designed right, empowers everybody to fulfill their goals and aspirations. His broad research goals are to upgrade accessibility to the ever-changing ways of our interactions with technology, and, improve the independence and quality of life of people with disabilities. These goals stem from his personal experience as a researcher with a visual impairment. His research focus is to enable developers with visual impairments perform a variety of programming tasks efficiently. Previously, he was a Research Fellow at Microsoft Research India, where his team was responsible for building CodeTalk, an accessibility framework and a plugin for better IDE accessibility. Venkatesh earned a master’s degree in Computer Science at International Institute of Information Technology Hyderabad, where his research was on audio rendering of mathematical content.
Orson is a first-year Ph.D. student working with Jennifer Mankoff and Anind K. Dey in the Information School at the University of Washington – Seattle. Prior to joining UW, he obtained his Bachelor’s degrees in Industrial Engineering (major) and Computer Science (minor) from Tsinghua University in 2018. While at Tsinghua, he received Best Paper Honorable Mentioned Award (CHI 2018), Person of the Year Award and Outstanding Undergraduate Awards. His research focuses on two aspects in the intersection of human-computer interaction, ubiquitous computing and machine learning: 1) the modeling of human behavior such as routine behavior and 2) novel interaction techniques.
Megan is a Phd Student at the Human Computer Interaction Institute at Carnegie Mellon Unviversity. She is advised by Prof. Jennifer Mankoff of the University of Washington and and Prof. Scott E. Hudson. She completed her bachelors in Computer Science at Colorado State University in 2017. She is an NSF Fellow, and a Center for Machine Learning and Health Fellow. During her Undergraduate degree Megan’s research was adviced by Dr. Jaime Ruiz and Prof. Amy Hurst.
Her research focuses on creating computer aided design and fabrication tools that expand the digital fabrication process with new materials. She uses participatory observation and participatory design methods to study assistive technology and digital fabrication among many stakeholder (people with disabilities, caregivers, and clinicians).