How I Fail

Academic life is full of rejections and setbacks, even when it doesn't look that way from the outside. Some students assumed I never had papers rejected (which is honestly funny).

Paper Rejections
Lessons Learned
  • Having the same paper rejected multiple times was deeply discouraging and emotionally draining. Persistence alone rarely fixes fundamental issues.
  • I learned that an impactful research question, well-executed work, and a paper written with clarity, structure, and care matter far more than resubmitting again and again—you have to do everything you can in the initial submission.
  • I also learned how much guidance and advocacy from senior authors can significantly change a paper's fate, and that is the kind of support I strive to provide as a professor.
In the Shadow of Judgment: Mapping Out the Landscape of Human-AI Decision-Making Through a Systematic Review Rejected at CHI after R&R, and decided not to resubmit in the near future.
Through a Live Elections Dashboard, Darkly: Managing Expectations and Trust in Progressive Vote Counting During the 2024 U.S. Election Rejected at VIS → accepted at CHI after revision.
Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Got lower scores in the first submission to ACL.
Self-Supervised Continuous Colormap Recovery from a Scalar Field Visualization without a Legend Rejected at PacificVis → accepted at VIS next year after revision.
A Comparative Study on Visualizations of Scheduled Event Sequences: Gantt, Extended Gantt, and Stringline Charts Rejected at VIS → accepted at TVCG after revision.
How Can Deep Neural Networks Aid Visualization Perception Research? Rejected at CHI → VIS → accepted at CHI after resubmission.
Visual Cue Effects on a Classification Accuracy Estimation Task in Immersive Scatterplots Rejected at VIS → TVCG → accepted at TVCG after resubmission.
A Virtual Reality Memory Palace Variant Aids Knowledge Retrieval from Scholarly Articles Rejected at VIS → TVCG → accepted at TVCG after resubmission.
How Do Visual Explanations Foster End Users' Appropriate Trust in Machine Learning? Rejected at CHI → VIS → accepted at IUI with a Honorable Mention Award.
Correlation Judgment and Visualization Features: A Comparative Study Rejected at CHI → accepted at TVCG after a major revision.
Job/Student Applications
Assistant Professor Position (2024) applied for 40+ positions, got 8 phone interviews, 3 on-site interviews, and 2 offers.
Internships (2016-2021) applied 10+ internships every year during 2018-2020, and got 1 offer (then COVID-19 hit in 2020).
PhD Position
  • 2016: applied for ~10 positions, got 3 offers; rejection includes one from UMD CS ◡̈
  • 2013: applied for 30+ MS/PHD positions, got ~5 offers; rejection includes one from UMD CS ◡̈
Funding Failures
PhD/Postdoc Fellowship applied at least 5 during 2017-2021, got 1 offer (funded my Postdoc at Northwestern).
Grants
  • 2025: 2 internal, 1 NIH, 1 Google, 1 industry contract = at least 5 rejections.
  • 2017-2021: at least 3 rejections.