プロフィール詳細

プロジェクトを作成

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Ye L.に依頼

United States

Senior Research Technician | Bioinformatics & Machine Learning

プロフィール概要

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.

専門分野

• ☆ 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

サービス

• 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

職務経験

Senior Research Technician lll

The Ohio State University Wexner Medical Center

9月 2025 - 現在

Research Assistant

The Ohio State University Wexner Medical Center

2月 2024 - 5月 2025

学歴

BS

The Ohio State University

8月 2021 - 5月 2025

認定資格

• 認定資格の詳細は未入力です。

出版物

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