Scholar
Ikechukwu Uchendu
Google Scholar ID: KcPrLhIAAAAJ
Harvard University
machine learning
artificial intelligence
reinforcement learning
robotics
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Homepage
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Google Scholar
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Citations & Impact
All-time
Citations
250
H-index
4
i10-index
3
Publications
8
Co-authors
13
list available
Contact
Email
iuchendu1@gmail.com
CV
Open ↗
LinkedIn
Open ↗
Publications
4 items
See it to Place it: Evolving Macro Placements with Vision-Language Models
2026
Cited
0
QuArch: A Benchmark for Evaluating LLM Reasoning in Computer Architecture
2025
Cited
0
A2Perf: Real-World Autonomous Agents Benchmark
2025
Cited
0
QuArch: A Question-Answering Dataset for AI Agents in Computer Architecture
2025
Cited
0
Resume (English only)
Academic Achievements
- Paper: Jump-Start Reinforcement Learning, under submission 2022
- Paper: Scalable diagnostic screening of mild cognitive impairment using AI dialogue agent, Scientific reports, 10(1), pp.1-11, 2020
Research Experience
- AI Resident, Google Brain
- Teaching Assistant: CSE 480 (Spring 2020), CSE 335 (Fall 2019), CSE 477 (Spring 2019), CSE 101 (Fall 2018)
Education
- Ph.D., Harvard University, Edge Computing Lab
- BS/MS, Michigan State University, Computer Science
Background
Main research interest: How reinforcement learning agents can acquire new skills as fast as possible. Field: Computer Science.
Miscellany
Contact information: Email, CV, Google Scholar, LinkedIn
Co-authors
13 total
Banghua Zhu
Assistant Professor at University of Washington; Principal Research Scientist at Nvidia
Cong Ma
University of Chicago
Co-author 3
Sergey Levine
UC Berkeley, Physical Intelligence
Jiantao Jiao
Director of Research & Distinguished Scientist, NVIDIA; Professor of EECS and Stat, UC Berkeley
Yao Lu
Distinguished Research Scientist, Nvidia
Chuyuan Fu
Google DeepMind
Ted Xiao
Staff Research Scientist, Google DeepMind
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