Erin McGowan

Computer Science Ph.D. Candidate, New York University

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I am currently a member of the Visualization, Imaging, and Data Analysis Center advised by Claudio Silva. My research is focused on data visualization and augmented reality, particularly within the context of the Perceptually-enabled Task Guidance project. I have prior experience in machine learning, artificial intelligence, and bioinformatics.

To see more details about my education, experience, and contact information, please consult my resume or more comprehensive CV. Use the navigation bar to see more information about my published works and projects.

Please feel free to reach out about research collaborations. I’m also currently looking for AI, data science, and research internship opportunities for Summer 2025.

news

Oct 22, 2024 “ARPOV: Expanding Visualization of Object Detection in AR with Panoramic Mosaic Stitching” was awarded a Best Paper Honorable Mention at the 37th Conference on Graphics, Patterns, and Images (SIBGRAPI) 2024. Read the paper here.
Jun 5, 2024 I passed my Ph.D. qualifying exam and am now a Ph.D Candidate! Thank you to my committee members, Claudio Silva, Qi Sun, and Daniele Panozzo.
Apr 5, 2024 I was awarded an Honorable Mention (top 12%) for my NSF Graduate Research Fellowships Program (GRFP) research proposal. Thank you to my advisor, Claudio Silva, and to the NYU Tandon Writing Center, particularly Michele Hanks, Abby Rabinowitz, and Alexander Landfair, for their input on my proposal. Thank you as well to Weihong (Grace) Guo and Qian Zhu (and Claudio again) for writing letters in support of my application.
Sep 21, 2023 The NYU Perceptually-enabled Task Guidance team, particularly our work on ARGUS, was featured in IEEE Spectrum.
Aug 22, 2023 “ARGUS: Visualization of AI-assisted Task Guidance in AR” was awarded a Best Paper Honorable Mention at IEEE VIS 2023. Read the paper here.