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Principal Research Scientist
Dennis Bromley
Director
Vidya Setlur
Lead Research Science Staff

Anamaria Crisan

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About

I conduct interdisciplinary research that integrates techniques and methods from machine learning, human computer interaction, and data visualization. I analyze data, build tools, and conduct evaluative studies. My research focuses on the intersection of Data Science and Data Visualization. I am especially interested in the way humans can collaboratively work together with ML/AI systems through visual interfaces. I completed my PhD in Computer Science at the University of British Columbia, where I was jointly advised by Tamara Munzner and Jennifer Gardy. Prior to my PhD, I was a research scientist at the British Columbia Centre for Disease Control and Decipher Biosciences, where I conducted research machine learning and data visualization research toward applications in infectious disease and cancer genomics.  My research has appeared in publications of the ACM (CHI), IEEE (TVCG, CG&A), Oxford Bioinformatics, and Nature.

A full list of my publications is available on my Google Scholar Profile

Focus

  • Data Visualization and Analysis
  • Data Science
  • Machine Learning
  • Human - ML/AI collaboration
  • AutoML

Papers

Towards a Human-Centered Approach for Automating Data Science

Anamaria Crisan, Lars Kotthoff, Marc Streit, Kai Xu
NeurIPs Human-Centered AI Workshop
PDF

Interactive Model Cards: A Human-Centered Approach to Model Documentation

Anamaria Crisan, Margaret Drouhard, Jesse Vig, Nazneen Rajani
FAccT 2022 (Seoul, Korea, June 21-24)
PDF

GEViTRec: Data Reconnaissance Through Recommendation Using a Domain-Specific Visualization Prevalence Design Space

Anamaria Crisan, Shannah E. Fisher, Jennifer L. Gardy, Tamara Munzner
IEEE Transactions on Visualization and Computer Graphics
PDF

Finding Their Data Voice: Practices and Challenges of Dashboard Users

Melanie Tory, Lyn Bartram, Brittany Fiore-Gartland, Anamaria Crisan
IEEE CG&A
PDF

Natto: Rapid Visual Iteration of Analytic Data Models with Intelligent Assistance

Anamaria Crisan, Vidya Setlur
KDD 2021 Visualization in Data Science Workshop
PDF

User Ex Machina: Simulation as a Design Probe in Human-in-the-Loop Text Analytics

Anamaria Crisan, Michael Correll
CHI 2021, May 8–13, 2020, Yokohama
PDF

Fits and Starts: Enterprise Use of AutoML and the Role of Humans in the Loop

Anamaria Crisan, Brittany Fiore-Gartland
CHI 2021, May 8–13, 2020, Yokohama
PDF

Passing the Data Baton : A Retrospective Analysis on Data Science Work and Workers

Anamaria Crisan, Brittany Fiore-Gartland, Melanie Tory
IEEE VIS 2020 Visualization in Data Science Symposium
PDF

Divining Insights: Visual Analytics Through Cartomancy

Andrew McNutt, Anamaria Crisan, Michael Correll
altCHI 2020, April 25–30, 2020, Honolulu, HI
PDF
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