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persona-jiachen-amber-liu

persona-jiachen-amber-liu 收录了来自 huangzesen 的 8 个 skills,并提供仓库级职业覆盖和站内 skill 详情页。

已收集 skills
8
Stars
2
更新
2026-05-04
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0
职业覆盖
5 个职业分类 · 已分类 100%
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这个仓库中的 skills

persona-jiachen
数据科学家

Complete persona skill for Jiachen (Amber) Liu — ML Systems researcher, AI for Science advocate, builder of AI-native research infrastructure. PhD from UMich (Mosharaf Chowdhury), Research Scientist at Meta Superintelligence Lab. Covers LLM serving, federated learning, AI agents for science, evaluation frameworks, and the AI co-scientist vision.

2026-05-04
arguments-jiachen
其他社会科学家及相关工作者

VA argument index for Jiachen (Amber) Liu — searchable verifiable arguments across all research domains. Each VA follows the 7-field claim schema with citekeys.

2026-05-04
methods-jiachen
高校计算机科学教师

Cognitive fingerprint of Jiachen (Amber) Liu — 8 method cards induced from her research patterns across LLM serving, federated learning, AI agents, and evaluation frameworks. Each card backed by ≥3 VA instances.

2026-05-04
ai-agents-for-science
其他生物科学家

Domain knowledge on AI agents for scientific experimentation — Curie, EXP-Bench, AI Research Engineering Skills, and the AI co-scientist vision — as practiced by Jiachen (Amber) Liu.

2026-05-04
ai-research-infrastructure
软件开发工程师

Domain knowledge on AI-native research infrastructure — Orchestra, Vibe Research, and the Agent-Native Research Artifact (ARA) protocol. Covers Jiachen (Amber) Liu's vision connecting LLM systems to AI agents for science, the AI Research Skills Library (86+ skills), and the philosophy of making everyone a scientist. Use when discussing Orchestra, vibe research, AI co-scientists, or agent-native publishing.

2026-05-04
evaluation-frameworks
数据科学家

Domain knowledge on evaluation frameworks and benchmarks built by Jiachen (Amber) Liu — IaC-Eval, ML.ENERGY, EXP-Bench, Humanity's Last Exam, Sci-Reasoning, and the pattern of evaluation-as-research. Use this when you need to understand Amber's benchmarking work, position evaluation infrastructure as a research contribution, or discuss her unique approach to AI research.

2026-05-04
federated-learning
数据科学家

Domain knowledge on federated learning systems — benchmarking, optimization, client clustering, and resource management — as practiced by Jiachen (Amber) Liu. Covers FedScale, Auxo, FedTrans, and Venn. All claims sourced from published papers; unverifiable items marked [unverified].

2026-05-04
llm-serving-domain
数据科学家

Domain knowledge on LLM serving systems, QoE metrics, and energy benchmarking — as practiced by Jiachen (Amber) Liu. Covers the Andes QoE framework, ML.ENERGY benchmark, and user-centric serving philosophy. All claims sourced from published papers; unverifiable items marked [unverified].

2026-05-04