persona-jiachen-amber-liu
persona-jiachen-amber-liu contém 8 skills coletadas de huangzesen, com cobertura ocupacional por repositório e páginas de detalhe dentro do site.
Skills neste repositório
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.
VA argument index for Jiachen (Amber) Liu — searchable verifiable arguments across all research domains. Each VA follows the 7-field claim schema with citekeys.
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.
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.
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.
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.
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].
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].