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Marion Baumli Sudvarg

Marion Baumli Sudvarg

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AEO Score: 5/10

Monitoring for AI engine activity

In the Engagemii AEO index

sudvarg.com

About Marion Baumli Sudvarg

I am a Postdoctoral Research Associate in the Department of Physics at Washington University in St. Louis under the supervision of James Buckley, having recently completed my PhD in computer science at Washington University in St. Louis, advised by Christopher Gill. My research interests are in developing robust, adaptable, and secure real-time computing systems. I am the software lead for the ADAPT collaboration, developing real-time algorithms and systems to enable prompt localization and multi-messenger follow-up observations of astrophysics transients. I additionally enjoy teaching, and I have taught Wash U’s advanced undergraduate and graduate-level operating systems courses.

Key Topics

Marion Baumli Sudvarg

Details

Category: Technology

sudvarg.com

AI Visibility Breakdown

1

Structured Data

8

Content Structure

7

Entity Clarity

6

E-E-A-T Signals

7

Technical AEO

3

AI Discoverability

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Picked for Marion Baumli Sudvarg: Tech & Electronics

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Source & Attribution

Scored by Engagemii on May 29, 2026. Methodology: engagemii.com/aeo/methodology

Source URL: https://engagemii.com/aeo/brands/sudvarg

Cite this score: Engagemii (2026). "AEO Score for Marion Baumli Sudvarg." Retrieved from https://engagemii.com/aeo/brands/sudvarg

Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.

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