Photo of Lace Padilla

Lace Padilla

CV · · · · Mastodon
l.padilla [at]
  • Information Visualization Theory and Application (Fall 23)
  • Global Good Studio: Data Visualization (SP 20, Fall 21-22)
  • Judgement and Decision Making (SP 20, SP 21, Fall 21-22)

Lace Padilla joined Northeastern University in 2023 as an Assistant Professor of Computer Science and Psychology where she is a member of the Data Visualization Lab @Khoury. Her interests lie in the intersection between Information Visualization, Behavioral Decision Making, and Data Science. Her research on uncertainty communication explores how to align data visualizations of future events with human decision-making capabilities. She has received the best paper award at IEEE VIS, honorable mentions [1, 2], an APA Early Career Award, and a NSF CAREER Award. She is the PI and Co-PI on several other grants funded by NSF (#2122174, #2028374, #1810498) and DOE.

In her spare time, she is a strong advocate for minoritized groups in STEM, previously serving on the IEEE VIS Inclusivity Committee and the Governing Board of Spark Society. She has also received several grants and awards for her diversity work.

Selected Publications

VIS 2023 (Best Paper Award Honerable Mention): Average Estimates in Line Graphs are Biased Toward Areas of Higher Variability.
Moritz, D., Padilla, L., Nguyen, F., Castro, S., Bertini, E.
PDF | Data + Analysis | Pre-registration | Slides
VIS 2022 (Best Paper Award): Multiple Forecast Visualizations (MFVs): Trade-offs in Trust and Performance in Multiple COVID-19 Forecast Visualizations.
Padilla, L., Fygenson, R., Castro, S., Bertini, E.
PDF | Data + Analysis | Pre-registration
Impact of COVID-19 forecast visualizations on pandemic risk perceptions.
Padilla, L., Hosseinpour, H., Fygenson, R., Howell, J., Chunara, R., and Bertini, E.
Nature's Scientific Reports, 2022.
PDF | Data + Analysis
The Science of Visual Data Communication: What Works.
Franconeri, S. L., Padilla, L., Shah, P., Zacks, J. M., and Hullman, J.
Psychological Science in the Public Interest, 2021.
Uncertainty Visualization (book chapter)
Padilla, L.., Kay, M. and Hullman, J.
Computational Statistics in Data Science, 2021
APA Early Career Award: The Powerful Influence of Marks: Visual and Knowledge-Driven Processing in Hurricane Track Displays.
Padilla, L.., Creem-Regehr, S. H., & Thompson, W.
Journal of Experimental Psychology: Applied, 2020.
PDF | Data + Analysis
Decision Making with Visualizations: A Cognitive Framework Across Disciplines
Padilla, L., Creem-Regehr, S. H., Hegarty, M., & Stefanucci, J. K.
Cognitive Research: Principles and Implications, 2018.