Varun Narayanswamy is a student in the Master’s from Human Computer Interaction and Design (MHCI+D). His research interests include HCI, data visualization, frontend development, mobile development, and education technology.
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Yusuf Mohammed
Yusuf is a second-year undergraduate at the University of Washington majoring in Computer Science. He has prior experience with full stack web development and databases. He is interested in how generative AI can be used to improve accessibility. He is also interested in Machine Learning and Systems Programming. In his free time, he enjoys playing spikeball and watching football. Currently, he is working on the Text Simplification Project in the Make4All lab.
Julie Zhang
Julie Zhang is a freshman at the University of Washington intending to major in Computer Science. She has prior coding experience with data analysis and front-end web development. She hopes to learn more about qualitative coding, human-computer interactions, and fabrication technology to improve accessibility. In her free time, she enjoys running, crocheting, and gardening. She’s excited to work on mobility devices with Make4All!
Brianna Lynn Wimer
Brianna is a Ph.D. student in Computer Science and Engineering at the University of Notre Dame and a visiting researcher at the University of Washington. She’s advised by Dr. Ronald Metoyer (Notre Dame) and Dr. Jennifer Mankoff (Washington). Brianna earned her Bachelor’s in Computer Science from the University of Alabama in 2021, advised by Prof. Chris Crawford. She is also a Google Ph.D. Fellow.
Her research centers on improving data visualizations for accessibility, particularly for those with visual impairments. She works on identifying accessibility challenges and crafting more user-friendly interactive visualization experiences.
Visit Brianna’s homepage at: https://www.briannawimer.com/
Kate Glazko
Kate is a PhD student in the Paul G. Allen School of Computer Science and Engineering at the University of Washington. She is advised by Professor Jennifer Mankoff. She completed her undergraduate studies at USC, where she double-majored in Computer Science and Business Administration, as well as received her master’s degree in Computer Science. She is an NSF CSGrad4US fellow.
She is interested in studying the intersection of digital and physical technologies that empower those with disabilities or illnesses. Her recent research focuses on generative AI and accessibility, seeking to gain a deeper understanding of the opportunities for improving access as well as identifying areas for improvement.
Her website is here: https://kateglazko.com
Andrew Jeon
Hello! I am a Masters student in the school of Electrical & Computer Engineering.
I am broadly interested in Technology, the world and philosophy. Although my specific research interests are still maturing, HCI and AI are the fields that captivate me currently.
Benjamin Epstein
Ben is an incoming second-year undergraduate at the University of Washington, majoring in computer science. He has prior programming experience in mobile development, machine learning, and data visualization. He is excited to learn more about data science and how it can be used to inform decisions for everyday life. In the near future, he also hopes to dive into computer vision and databases. His outside interests include playing and watching basketball, listening to music, and running. He will be working on analyzing the associations between various student groups’ behavior, academics, and well-being.
Dhruv Khanna
I completed my Bachelor’s degree in Engineering from Netaji Subhas Institue of Technology, New Delhi. I majored in Mechanical Engineering; however, I found my true calling in working with software. Currently, I am a master’s student at the University of Washington majoring in Information Management.
Saidhruv Chittamuri
Dhruv is a freshman at the University of Washington studying Computer Science. In the past, he has began to build a coding expertise in full-stack development and data analytics. He hopes to delve more in the latter through strengthening his Machine Learning skills and utilizing them in meaningful real-world applications, with an emphasis on tackling accessibility. Outside of Computer Science, he maintains an active lifestyle – enjoying weight lifting, playing soccer, and running. Currently, he is working on the Academic Performance Prediction project here at the Make4All Lab.
Srihari Krishnaswamy
Srihari Krishnaswamy is a first-year undergraduate student studying Computer Science at the University of Washington. His programming experience in the past consists of work on VR simulations and cross-platform apps. He’s looking to learn more about Machine Learning, AI and Signal Processing in the near future, and looks forward to working on more projects. In his free time, he enjoys music production and playing sports.