プロフィール詳細

プロジェクトを作成

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Taha A.に依頼

Turkey

Computational Biology & Bioinformatics Researcher | Python Automation, NGS, Omics Data

プロフィール概要

I am a Biology student with a strong focus on bioinformatics, computational biology, and scientific programming. My work combines biological research with practical software and data analysis skills, particularly in genomics, next-generation sequencing (NGS), and multi-omics analysis. I have experience developing bioinformatics tools and Python packages for biological data processing and analysis, including projects related to sequence analysis, motif discovery, and genomic workflows. I have also worked on independent research projects involving multi-omics analysis and whole genome sequencing pipelines. My technical background includes Python, data analysis, scientific visualization, automation, Linux-based workflows, and computational research support. In addition to software development, I can assist with biological data interpretation, research workflows, data cleaning, figure generation, and scientific reporting. Areas I can help with include: Bioinformatics and genomics analysis Python scripting and workflow automation NGS and sequence analysis Biological data processing and visualization Research data analysis Scientific computing support Literature-based research assistance I am particularly interested in projects involving computational biology, genomics, biotechnology, and data-driven life science research.

専門分野

• ★ Next Generation Sequencing (NGS)
• ★ Systems Biology
• ★ Structural Bioinformatics
• ☆ Computational Biology
• ☆ Evolutionary Biology
• ☆ Biostatistics
• ☆ Mathematical Biology
• ☆ Biochemistry
• ☆ Structural Biology
• ☆ Molecular Biology
• ☆ Genetics
• ☆ Omics
• ☆ Molecular Evolution
• ☆ Epigenetics
• ☆ Protein Sequencing
• ☆ Gene Expression Analysis
• ☆ Genome Sequencing
• ☆ Exome Sequencing
• ☆ RNA Sequencing
• ☆ ChIP-Seq
• ☆ Biophysics
• ☆ Data Analysis
• ☆ Image Processing
• ☆ Computer Simulation/Computational Modeling
• ☆ Algorithm Design
• ☆ Predictive Modeling & Analytics
• ☆ Data Processing
• ☆ Data Exploration
• ☆ Cluster Analysis
• ☆ Data Visualization
• ☆ Data Collection
• ☆ Machine Learning
• ☆ Data Mining
• ☆ Data Cleaning
• ☆ Computer Vision
• ☆ Statistics
• ☆ Regression Analysis
• ☆ Multivariate Analysis
• ☆ Bayesian Statistics
• ☆ Correlation Analysis
• ☆ Statistical Computing
• ☆ Mathematical Statistics
• ☆ Medical Statistics
• ☆ Health Data Analysis
• ☆ Bioinformatics
• ☆ Gene & Protein Expression Analysis
• ☆ Biomarker Discovery
• ☆ Phylogenetics
• ☆ Population Genetics
• ☆ R
• ☆ Women's Health
• ☆ Breast Cancer

サービス

• Writing
• Research
• Data & AI

Writing Technical Writing, Creative Writing, Audio Transcription, Translation

Research Market Research, Fact Checking, Scientific and Technical Research

Data & AI Image Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization, Big Data Analytics, Text Mining & Analytics, Data Mining, Data Cleaning

職務経験

Student

Middle East Technical University

9月 2021 - 現在

Undergrad Researcher

FAR Better Biomedical

11月 2025 - 4月 2026

Research and Development Intern

Ankara University

7月 2024 - 9月 2024

学歴

Undergraduate (Biology)

Middle East Technical University

9月 2021 - 現在

認定資格

• Python for Genomic Data Science

  coursera

  https://www.coursera.org/account/accomplishments/certificate/2YBJ2HBDXDD7

  7月 2023 - 現在

出版物

PREPRINT

Taha Ahmad(2026). Graph-Based Multi-Omics Integration Improves Subtype Recovery and Survival Prediction Over Classical Integration Strategies in TCGA-BRCA . arXiv

Taha Ahmad(2025). Somatic Whole-Genome Profiling of the HCC1395 Breast Cancer Cell Line . Zenodo

Taha Ahmad(2025). ChIP-seq Analysis Defines Microglia-Specific MEF2C Binding Landscapes at Synaptic Genes Implicated in Neurodevelopmental Disorders . Zenodo

Taha Ahmad(2025). Integrated Multi-omics Reveals MEF2C as a Direct Regulator of Microglial Immune and Synaptic Programs . arXiv