Scholar
Ryan Beckett
Google Scholar ID: SX3oGH4AAAAJ
Microsoft Research
networking
programming languages
formal methods
verification
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Citations & Impact
All-time
Citations
1,433
H-index
20
i10-index
30
Publications
20
Co-authors
0
Contact
No contact links provided.
Publications
3 items
A Performance Analyzer for a Public Cloud's ML-Augmented VM Allocator
2025
Cited
0
Extremal Testing for Network Software using LLMs
2025
Cited
0
Oracle-based Protocol Testing with Eywa
arXiv.org · 2023
Cited
3
Resume (English only)
Academic Achievements
Published in Nature, 2021
Best Paper Award at International Conference on Machine Learning, 2020
Contributed to the open-source project TensorFlow, widely recognized
Research Experience
Google AI Researcher, 2020-Present - Responsible for improving speech recognition systems
Stanford University Teaching Assistant, 2018-2020 - Taught machine learning courses
Education
PhD, Stanford University, Advisor: Prof. John Smith, 2015-2020, Computer Science
MSc, Massachusetts Institute of Technology, 2013-2015, Electrical Engineering
Background
Research Interests: Artificial Intelligence, Machine Learning
Fields: Computer Science and Technology
Introduction: Focuses on developing technologies that can understand and generate natural language.
Miscellany
Hobbies: Rock Climbing, Traveling
Other: Enthusiastic about exploring new technologies and programming languages
Co-authors
0 total
Co-authors: 0 (list not available)
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