jane l. e
stanford hai postdoc, [incoming] nus assistant professor
ejane [at] stanford.edu · ejane.me · cv
materials from my 2023-2024 job search:
research · teaching · diversity · cv
[current] I am a postdoc at Stanford HAI, mentored by my PhD advisor James Landay, and starting as an Adjunct Professor at NUS as an affiliate with the Smart Systems Institute.
[next] I will be starting at NUS Computing as an Assistant Professor in Fall 2025 and am recruiting PhD students in the upcoming year (please reach out if you might be interested)!
[past] I just finished my postdoc at The Design Lab @ UCSD as part of the debut cohort of UCSD CSE’s Postdoctoral Fellows Program, where I was mentored by Haijun Xia and Steven Dow. Prior to that, I graduated from Stanford University with a PhD in Computer Science where I was coadvised by James Landay and Pat Hanrahan.
[research] My research lies primarily at the intersection of human computer interaction, computer graphics, and AI. 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.
[other] On the side, I am a dancer 🩰, a photo enthusiast 📷, a foodie 🍛, and a lover of fitness 🤸🏻♀️.
announcements
October 2024 | Invited talk at University of Toronto’s DGP Lab |
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September 2024 | Attended the 11th HLF as a young researcher with Pat Hanrahan |
September 2024 | Started my postdoc at Stanford HAI with James Landay |
June 2024 | Presented our work “When to Give Feedback: Exploring Tradeoffs in the Timing of Design Feedback” at C&C 2024. Additionally chaired the Co-Creation paper session and helped lead the DEI Panel |
June 2024 | So proud of Mingyi Li for graduating with a UCSD CSE Undergraduate Research Award! She will be starting as a PhD student at Northeastern with Maitraye Das |
May 2024 | Accepted positions at Stanford HAI for a one-year postdoc and at NUS Computing as an Assistant Professor |
April 2024 | Invited talks at USC CS, NUS Computing, and BU AI & Education |
March 2024 | “Jamplate: Exploring LLM-Enhanced Templates for Idea Reflection” 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 |