CV

Yimin Liu

Ph.D. Candidate, The Ohio State University. yiminliu.career at gmail.com

2027 Ph.D. expected

Sheet

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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

Full publication list

Experience

Experience

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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%.
  • 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

  • The Ohio State University Aug 2022 — present

    Ph.D. Candidate in Biomedical Informatics, expected 2027 · Columbus, OH

    Advisor: Professor Lijun Cheng

  • 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