Rana Shahout
Scholar

Rana Shahout

Google Scholar ID: M0EIKRoAAAAJ
Harvard
Algorithms for data driven systems
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Citations & Impact
All-time
Citations
159
 
H-index
7
 
i10-index
5
 
Publications
20
 
Co-authors
0
 
Contact
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Publications
7 items
Orla: A Library for Serving LLM-Based Multi-Agent Systems
2026
Cited
0
Predictive Scheduling for Efficient Inference-Time Reasoning in Large Language Models
2026
Cited
0
Distributed Recoverable Sketches
International Conference on Principles of Distributed Systems · 2025
Cited
0
From Score Distributions to Balance: Plug-and-Play Mixture-of-Experts Routing
2025
Cited
0
Intra-request branch orchestration for efficient LLM reasoning
2025
Cited
0
Queueing, Predictions, and LLMs: Challenges and Open Problems
2025
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0
Federated Learning Clients Clustering with Adaptation to Data Drifts
arXiv.org · 2024
Cited
0
Resume (English only)
Academic Achievements
  • Publications: Multiple papers accepted to top conferences such as NeurIPS, ICLR, OPODIS; Awards: Zuckerman Postdoctoral Fellowship, Israeli Council for Higher Education Postdoctoral Fellowship; Projects: Various research projects on LLM inference optimization.
Research Experience
  • Postdoctoral Fellow at Harvard University, working with Michael Mitzenmacher and Minlan Yu; Senior Software Engineer at Mellanox (now NVIDIA).
Education
  • Ph.D. in Computer Science from Technion, advised by Roy Friedman; B.Sc. and M.Sc. from Technion.
Background
  • Research Interests: Algorithmic foundations of AI systems, particularly optimizing large language model (LLM) inference. Professional Field: Intersection of systems, machine learning, and algorithms. Bio: Works on developing the algorithmic foundations of next-generation AI infrastructure, making AI systems more efficient, reliable, and resource-aware.
Co-authors
0 total
Co-authors: 0 (list not available)