プロフィール詳細

プロジェクトを作成

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Shirshak A.に依頼

Nepal

Entry-Level scRNA-seq Analyst | Python & Scanpy

プロフィール概要

I am a Computing graduate (First Class Honors) who focuses on turning scRNA-seq count matrices into clear, intuitive biological insights. I specialize in the Scanpy/AnnData ecosystem and believe that a project isn't finished until the results can be explained simply. Technical Focus: • scRNA-seq Downstream Workflow: Full processing from raw counts, including QC (filtering/normalization), Dimensionality Reduction (UMAP), and Clustering. • Functional Analysis: Differential expression followed by Pathway Enrichment Analysis to translate gene lists into biological meaning. • Perturb-seq Experience: Hands-on analysis of the Norman et al. (2019) K562 dataset, specifically tracing CEBPE-driven granulocytic differentiation. My Approach: Intuition-Driven Analysis I am a "slow and deep" learner. My philosophy is inspired by the Feynman technique: I do not move past a concept or a data trend until I truly understand its underlying logic. This means I don't just "run a pipeline"—I ensure every filter and cluster makes sense. I deliver analysis via well-documented Jupyter Notebooks that bridge the gap between complex computational data and clear biological stories. While I am new to professional freelancing, I bring significant technical rigor, evidenced by my research into scRNA-seq GRN inference methods which achieved a 95.7% precision improvement over existing models. I am looking for roles where I can help researchers find the "signal" in their scRNA-seq data.

専門分野

• ☆ Computational Biology
• ☆ Data Analysis
• ☆ Data Processing
• ☆ Data Exploration
• ☆ Cluster Analysis
• ☆ Data Visualization
• ☆ Data Cleaning
• ☆ Bioinformatics
• ☆ Gene & Protein Expression Analysis
• ☆ Python
• ☆ Scikit-learn

サービス

• Data & AI

Data & AI Data Visualization, Data Cleaning, Data Processing, Data Insights

職務経験

Independent

Independent

4月 2026 - 現在

学歴

BSc (Hons) (First Class) Computing

London Metropolitan University

2月 2023 - 12月 2025

認定資格

• 認定資格の詳細は未入力です。

出版物

WORKING PAPER

AENetMoX: Fast and Precise scRNA-seq Gene Regulatory Network Inference Through Multi-Modal Feature Integration in Brain Organoids .