jane l. e
postdoc at the design lab · je [at] ucsd.edu · ejane.me
I'm looking for faculty and industry research positions :)
research · teaching · diversity · cv
I am currently a postdoc at The Design Lab @ UCSD as part of the debut cohort of UCSD CSE’s Postdoctoral Fellows Program, where I am mentored by Haijun Xia and Steven Dow. I recently graduated from Stanford University with a PhD in Computer Science where I was coadvised by James Landay and Pat Hanrahan.
My research lies primarily at the intersection of human computer interaction and computer graphics. Broadly, I’m interested in thinking about how to design computational tools that can support users in developing domain expertise, which I currently explore within the domain of creativity. My work takes inspiration from cognitive science and education theory to design computational tools that scaffold novices’ creative processes. Inspired by how expert artists have trained their eyes to “see” in a certain way, I aim to design guidance that helps novices develop their own “artistic vision”—and in doing so, support them in developing their own artistic expertise.
More specifically, my dissertation work focused on photography and videography interfaces. I designed in-camera guidance interfaces that can help users be more aware of their artistic choices. During my postdoc, I am more directly exploring the impact of computational feedback on creativity to inform the design of such creativity support tools.
On the side, I am a dancer 🩰 and a photo enthusiast 📷. I am a foodie 🍛 and also a lover of fitness 🤸🏻♀️.
announcements
April 2024 | Invited talks at USC CS, NUS Computing, and UCSD Cognitive Science |
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March 2024 | “Jamplate: Exploring LLM-Enhanced Templates for Idea Reflection” to be presented at IUI 2024 by Tone Xu |
March 2024 | Invited talks at Oregon State EECS, Tufts CS, UVA CS, Cornell IS Colloquium, and Indiana HCC |
February 2024 | Invited talks at UW-Madison CS and Stevens Institute CS |
February 2024 | Submitted camera-ready to CSCW 2024 “ProcessGallery: Contrasting Early and Late Iterations for Design Principle Learning” (co-lead by Grace Yen and me) |
November 2023 | “Color Field: Developing Professional Vision by Visualizing the Effects of Color Filters” presented at UIST 2023 by Matt Beaudouin-Lafon |
July 2023 | Invited talk at DUB Seminar (video) |
June 2023 | Invited talks at UC Irvine Informatics, Fudan University EDA AI & Math Seminar, and Tsinghua HCI Seminar |
May 2023 | Invited talk at Berkeley Institute of Design Seminar |
April 2023 | “DataParticles: Block-Based and Language-Oriented Authoring of Animated Unit Visualization” presented at CHI 2023 by Rima Cao (received Best Paper ) |
April 2023 | Invited talk at UT Austin HCI Seminar |
October 2022 | Attended Rising Stars in EECS 2022 at UT Austin |