CV
Yimin Liu
Ph.D. Candidate, The Ohio State University. yiminliu.career at gmail.com
Sheet
Read the Agent Evaluation CV below, or download the PDF.
Focus
Research Interests
I work on LLM agent infrastructure and evaluation — skill systems, harness design, and benchmarks (SkillsBench, ClawsBench) that measure whether agents actually perform across diverse tasks. I also develop deep learning methods for multi-omics integration in cancer biology.
Papers
Selected Publications
- ClawsBench: Li, X., Choe, K.W., Liu, Y., Chen, X., et al. ClawsBench: Evaluating Capability and Safety of LLM Productivity Agents in Simulated Workspaces, COLM 2026
- SkillsBench: Li, X., Liu, Y., Chen, W., You, B., et al. SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks, NeurIPS 2026, Evaluations and Datasets Track (accepted, poster)
- ScienceIDE: Geng, H., Huang, Z., …, Liu, Y., et al. ScienceIDE: Turning World’s Scientific Codebase into Agent Learnable Environments, arXiv:2609.19134
- BenchShield: Zheng, S., Di, Z., Liu, Y., et al. BenchShield: Formal Model-Backed Instrumentation for Reward Integrity in LLM-Agent Evaluation Infrastructure, arXiv:2609.11028; under review
- DeepDR: Jin, S., Jiang, Y., Liu, Y., Ma, T., et al. DeepDR: An Integrated Deep-Learning Model Web Server for Drug Repositioning, arXiv:2511.08921, 2025
- DG-scRNA: Liu, Y., Gokbag, B., Majumdar, A., et al. Deep Learning with Graphic Cluster Visualization to Predict Cell Types of Single-Cell RNAseq Data, ICIBM 2025, Oral Presentation · Conference abstract
- Liu, Y., Chen, Q., …, Liu, Y., et al. Proteomic profiling and genome-wide mapping of O-GlcNAc chromatin-associated proteins reveal an O-GlcNAc-regulated genotoxic stress response, Nature Communications 2020
Experience
Experience
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Research Engineer Intern Sep 2026 — present
Deffai · Remote
- Building a full-stack FDA review agent: a RAG retrieval layer over FDA regulations and guidance documents, a multi-step review workflow with citation provenance, and the client-facing application.
- Designing FDABench, an end-to-end evaluation of the review workflow that scores agent outputs against reference reviews.
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Open-Source Contributor & Maintainer Jan 2026 — present
BenchFlow · San Francisco, CA
Research Scientist Intern: May — Aug 2026
- Evaluation Infrastructure
- Built the BenchFlow evaluation environment and runtime for containerized benchmark suites spanning coding, terminal, and productivity tasks.
- BenchShield – Reward Integrity for Agent Evaluation
- Hardened runtime evidence checks against tampered event annotations and unsupported verdicts; added regression tests for missing evidence and action attribution.
- Built a resumable annotation runner that validates completion from generated artifacts and records token usage and cost for each model call.
- SkillsBench – Agent Skill Evaluation
- Built the agent sandbox across 18 model–harness configurations, with per-trial container isolation, raw trajectories, usage accounting, and pass/fail evidence.
- Designed paired evaluations across 87 tasks with task-macro pass rates and 95% CIs; curated Skills raised pass rates from 33.9% to 50.5% (+16.6 pp).
- ClawsBench – Capability and Safety Evaluation
- Built a benchmark of 44 tasks across five simulated services (Gmail, Slack, Calendar, Docs, Drive), evaluating agent capability and safety in shared workspaces.
- Evaluation Infrastructure
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Independent Research Collaborator Jun 2026 — present
AutoRSI, AgentFuzzBench & ScienceIDE · Remote
Collaborators: Yuxuan Jiang (AutoRSI); Security Lab, UC Davis (AgentFuzzBench); AItonomy Foundation (ScienceIDE)
- AgentFuzzBench – End-to-End Agentic Fuzzing
- Built reproducible task packages for eight pinned OSS targets, combining Docker environments, task contracts, and verifiers for the full fuzzing lifecycle.
- Packaged the hosted benchmark with committed AFL++ oracle evidence and hardened the trust boundary between agent-controlled output and scored-coverage grading.
- AutoRSI – Iterative Method Improvement
- Building a propose–implement–evaluate–reflect pipeline that constructs and refines improvement plans, replacing a fixed library of candidate methods.
- ScienceIDE – Scientific Codebases as Agent-Learnable Environments
- Packaged Scirpy (single-cell immune-receptor repertoire analysis) as the bioinformatics environment in a 64-environment registry of executable scientific-code tasks, with acceptance criteria that check scientific outputs, not just successful execution.
- AgentFuzzBench – End-to-End Agentic Fuzzing
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Graduate Research Assistant Mar 2023 — present
The Ohio State University · Columbus, OH
Advisor: Professor Lijun Cheng
- Developed DG-scRNA, a graph-convolutional network that annotates cell types from scRNA-seq data, 97.2% accuracy on 150K+ cells (first-author manuscript).
- Integrated scRNA-seq and spatial transcriptomics from 25 thyroid cancer samples; identified 50+ ligand-receptor interactions and two novel cell subtypes.
- Benchmarked CNN, RNN, and Transformer architectures for CRISPR gRNA on-target prediction over 50K+ curated sequences.
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Research Collaborator Sep 2025 — Nov 2025
Wuhan University of Science and Technology · Wuhan, CN (remote)
Collaborator: Shuting Jin, School of Computer Science and Technology
- DeepDR – Drug Repositioning Web Platform: Built the web platform: 15+ deep learning models over a 5.9M-edge knowledge graph, with visualizations explaining each recommendation.
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Research Assistant Aug 2021 — Oct 2021
Harvard Medical School · Boston, MA
- Built automated mutation-calling pipeline (GATK, R) on 50K+ scRNA-seq cells; clustered SNV and expression profiles to predict variant–phenotype relationships in cancer.
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Research Assistant Mar 2021 — Aug 2021
Beijing Institute of Genomics, Chinese Academy of Sciences · Beijing, CN
- Built a pipeline optimizing COVID-19 hybrid-capture probes; redesigned low-efficiency regions, raising sensitivity 25%.
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Research Assistant Nov 2019 — Feb 2021
Dalian University of Technology · Dalian, CN
- Undergraduate research on O-GlcNAc chromatin regulation in breast cancer (proteomics, ChIP-seq, RNA-seq); co-authored Nature Communications 2020, Cell Biology International 2021, and BBA – General Subjects 2021.
Education
Education
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The Ohio State University Aug 2022 — present
Ph.D. Candidate in Biomedical Informatics, expected 2027 · Columbus, OH
Advisor: Professor Lijun Cheng
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Dalian University of Technology Sep 2018 — Jun 2022
B.S. in Bioinformatics · Dalian, CN
GPA 86.4 / 100
Skills
Skills
- Agent evaluation
- Benchmark design, harnesses, reward integrity, LLM-as-judge, trajectory scoring
- Programming & ML
- Python, PyTorch, NumPy/Pandas/scanpy, R (Seurat, Tidyverse), Bash, JavaScript
- Web, cloud & infrastructure
- Full-stack development, REST APIs, Docker, HPC, Slurm, Git, Linux/Unix
Service
Service
- Workshop Organizer — Agent Skills '26, The First Workshop on Agent Skills, ACM CAIS2026
- Conference Reviewer — ICLR2024 — 2026
- Conference Reviewer — ICML2024 — 2025
- Conference Reviewer — NeurIPS2024 — 2025
- Conference Reviewer — EMNLP2026
- Journal Reviewer — PLOS Computational Biology