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Hire Ye L.

United States

USD 30 /hr

Senior Research Technician | Bioinformatics & Machine Learning

Profile Summary

I am a computational biologist and machine learning researcher with strong expertise in single-cell omics data analysis, immune repertoire sequencing, and AI-driven modeling. I am currently working as a research scientist at The Ohio State University Wexner Medical Center, where I develop computational pipelines to analyze large-scale immunogenomics datasets and investigate T-cell receptor (TCR) diversity in autoimmune diseases. My core expertise lies in analyzing complex biological datasets and translating them into actionable insights through statistical modeling and machine learning approaches. I have extensive experience working with single-cell RNA-seq, V(D)J sequencing, and multi-modal datasets, including data preprocessing, quality control, clustering, trajectory inference, differential expression analysis, pathway enrichment, and immune clonotype analysis. I have developed and implemented numerous custom analysis pipelines using R, Python, and high-performance computing environments. My technical skill set includes tools such as Seurat, scVelo, Scanpy, scRepertoire, Cell Ranger, and advanced visualization frameworks. In addition to bioinformatics analysis, I also design machine learning models for predictive modeling, feature extraction, and pattern discovery in biological and biomedical data. My research contributions include peer-reviewed publications in leading venues such as NeurIPS and Nature Immunology, reflecting both my interdisciplinary training and ability to deliver high-quality analytical results. I am experienced in collaborating with interdisciplinary teams and supporting research projects from raw data processing through publication-ready figures and reports. I am particularly interested in helping clients with: • Single-cell RNA-seq and multi-omics data analysis • Immune repertoire (TCR/BCR) analysis • Bioinformatics pipeline development • Statistical modeling and data visualization • Machine learning applications in biomedical research • Reproducible workflow design and HPC computing I am committed to delivering clear, reproducible, and scientifically rigorous solutions tailored to each project’s goals.

Subject Matter Expertise

• ☆ Computational Biology
• ☆ Biostatistics
• ☆ Cell Biology
• ☆ Cell-Based Assays
• ☆ Cell Signaling Pathways
• ☆ Electrical Engineering
• ☆ Computer Engineering
• ☆ Data Analysis
• ☆ Image Processing
• ☆ Computer Simulation/Computational Modeling
• ☆ Algorithm Design
• ☆ Data Processing
• ☆ Cluster Analysis
• ☆ Data Visualization
• ☆ Machine Learning
• ☆ Neural Networks
• ☆ Artificial Intelligence
• ☆ Deep Learning
• ☆ Computer Vision
• ☆ Bioinformatics
• ☆ Gene & Protein Expression Analysis
• ☆ Systems Biology
• ☆ Structural Bioinformatics
• ☆ Cell Surface Receptors

Services

• Data & AI

Data & AI Predictive Modeling, Statistical Analysis, Image Processing, Image Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization, Big Data Analytics, Data Processing

Work Experience

Senior Research Technician lll

The Ohio State University Wexner Medical Center

September 2025 - Present

Research Assistant

The Ohio State University Wexner Medical Center

February 2024 - May 2025

Education

BS

The Ohio State University

August 2021 - May 2025

Certifications

• Certification details not provided.

Publications

JOURNAL ARTICLE

Ye Liu, Tingting Fan, Chi Tai, Kiah C. Sleiman, Madeline P. Cutcliffe, Haram Kim, Jianying Li, Gang Xin, Mollyanna Grashel, Laurie Baert, et al. (2025). Aberrant T follicular helper cells generated by TH17 cell plasticity in the gut promote extraintestinal autoimmunity . Nature Immunology.

CONFERENCE PAPER

Ye Liu, Jihyung Kil, Zheda Mai, Justin Lee, Zihe Wang, Kerrie Cheng, Lemeng Wang, Arpita Chowdhury, Wei-Lun Chao(2024). MLLM-CompBench: A Comparative Reasoning Benchmark for Multimodal LLMs . arXiv