Jessica Birchfield is a junior majoring in Computer Science with a Chinese minor. She is passionate about using technology to address human needs and enhance people’s lives. Her interests include fabrication, computer animation, and computer graphics. She is currently working on the Tactile Maps project in the lab.
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Jerry Cao
Jerry is a PhD student in the Paul G. Allen School of Computer Science and Engineering at the University of Washington. In the past, he served as an Undergraduate Research Leader with the Undergraduate Research Program at UW and a Mary Gates Scholar.
His research focuses on utilizing fabrication and computer science to make healthcare technologies more affordable and accessible to the general populous. His current projects include generating optimized 3D-printable tactile maps and designing a cheap, unobtrusive continuous blood pressure monitor.
Website: https://jerrycao22.github.io/
Jacque Li
Jacque is a senior studying Computer Science and minor in Mathematics, and also works as a Student Ambassador in the Paul G. Allen School of Computer Science and Engineering, promoting computing and technical education to under-resourced and under-represented K-12 students. With a broad curiosity of how technology and computing influences interpersonal interactions, she is currently working on the UWEXP study to help develop the mobile technology used to collect student data, encompassing her diverse interests in mobile and accessible technologies, education, and personal health and wellness.
Han Zhang
Han is a PhD student in the Paul G. Allen School of Computer Science & Engineering. She is advised by Prof Jennifer Mankoff (Computer Science) and Prof Anind K. Dey (Information School).
Han’s research interests span the interdisciplinary areas of human-computer interaction, human-centered machine learning, and fairness, responsibility, accountability, transparency, and ethics in AI (FATE). She is passionate about designing responsible technologies to improve human performance and wellbeing. Her research focuses on uncovering nuanced human performance behavioral patterns through explainable machine learning and data science. Additionally, she researches comprehending human needs and perceptions of AI-learned patterns, informing the design and development of interactive tools to support humans in proactively shaping their behaviors.
If you share similar research interests with her or simply want to have a chat, please feel free to reach out via email: micohan [at] cs [dot] washington [dot] edu.
Daniel Revier
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 Gotfrid
Taylor is a second-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.
Vivian G Motti (Visitor)
I am an Assistant Professor on Human Computer Interaction at George Mason University where I lead the Human-Centric Design Lab. In the Fall 2019, I am a visiting scholar at the University of Washington’s Paul G. Allen School of Computer Science and Engineering. My research interests involve the design and evaluation of smartwatch applications to assist young adults with neurodiverse conditions. More specifically, I focus on how wearable applications can assist neurodiverse individuals with self-regulation, executive functions and activities of daily living.
I am also interested on usable privacy for smart home devices, wearables, accessibility and mHealth.
For additional information, please visit my website: www.vivianmotti.org
Kelly Avery Mack
Avery is a Phd Student in the Paul G. Allen School of Computer Science and Engineering at the University of Washington. They are advised by Prof. Jennifer Mankoff. They completed their bachelors in Computer Science at the University of Illinois at Urbana-Champaign in 2019, where Prof. Aditya Parameswaran and Prof. Karrie Karahalios advised them. They are an NSF Fellow and an ARCS Scholar.
Their research focuses on applying computer science to create or improve technologies that serve people with disabilities. Their current work focuses on 1) representation of people with disabilities in digital technologies like avatars and generative AI tools, and 2) how to support people with fluctuating access needs like neurodiverse people and people with chronic or mental health conditions.
Visit Avery’s homepage at https://kmack3.github.io.
Yash Baldawa
Yash is an undergraduate student at the University of California, Berkeley. While at make4all lab, Yash worked under the mentorship of Prof. Jennifer Mankoff and Dr. Anat Caspi on the Urban Mobility project. He was responsible of recruiting participants with a diverse range of abilities, conducting contextual interviews, survey monitoring, data collection and data analysis for majority of the pool of participants. His time at the make4all lab taught him to be inclusive of the different abilities of people while designing and developing technology. Yash will be interested in taking up projects in the future that aim to develop universally accessible technologies.