プロフィール詳細

プロジェクトを作成

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Agshin B.に依頼

United States

Bioinformatician & Computational Biologist | 6+ Years in Genomics, Single-Cell & Spatial Omics

プロフィール概要

I am a PhD candidate in Bioinformatics & Computational Biology with 6+ years of research experience in cancer genomics, mutation analysis, single-cell and spatial omics, imaging, and reproducible bioinformatics workflows. I have extensive experience analyzing whole-genome sequencing data, including somatic and germline variants, driver mutations, structural variants and copy-number alterations, and integrating genomic findings with bulk RNA-seq, scRNA-seq, single-cell Multiome ATAC/RNA-seq, spatial transcriptomics and spatial single-cell imaging data. I have also applied machine learning and deep learning to biological data, including developing an ML pipeline for viral detection in lymphoma and PyTorch-based image classification. My research has contributed to peer-reviewed publications and conference work in cancer and pulmonary disease. I work primarily in Python, R, Bash and Linux, with extensive experience in HPC environments, Nextflow, Snakemake, Git/GitHub, Slurm and scientific data visualization.

専門分野

• ★ Genomics
• ★ Statistics
• ★ Bioinformatics
• ☆ Computational Biology
• ☆ Biostatistics
• ☆ Mathematical Biology
• ☆ Molecular Biology
• ☆ Biomarkers
• ☆ Genetics
• ☆ Microarrays
• ☆ Omics
• ☆ Transcriptomics
• ☆ Comparative Genomics
• ☆ Next Generation Sequencing (NGS)
• ☆ ATAC-Seq
• ☆ DNA Sequencing
• ☆ Gene Expression Analysis
• ☆ Genome Sequencing
• ☆ Exome Sequencing
• ☆ RNA Sequencing
• ☆ Data Analysis
• ☆ Image Processing
• ☆ Data Processing
• ☆ Data Exploration
• ☆ Data Visualization
• ☆ Machine Learning
• ☆ Data Mining
• ☆ Data Cleaning
• ☆ Neural Networks
• ☆ Deep Learning
• ☆ Regression Analysis
• ☆ Multivariate Analysis
• ☆ Nonlinear Regression
• ☆ Bayesian Statistics
• ☆ Study Design
• ☆ Spatial Statistics
• ☆ Medical Statistics
• ☆ Gene & Protein Expression Analysis
• ☆ Systems Biology
• ☆ Population Genetics

サービス

• Writing
• Research
• Consulting
• Data & AI

Writing Technical Writing

Research Scientific and Technical Research, Systematic Literature Review

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Image Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization, Data Mining, Data Cleaning, Data Processing, Data Insights

職務経験

PhD candidate

University of Minnesota

9月 2023 - 現在

Postgraduate Researcher

Yale University

8月 2021 - 8月 2023

Graduate Researcher

University of Zurich

9月 2019 - 6月 2021

Internee

Yale University

7月 2018 - 8月 2018

学歴

PhD

University of Minnesota

9月 2023 - 現在

M.Sc (Master of Science)

University of Zurich

9月 2018 - 6月 2021

Honours Bachelors of Science

University of Toronto

9月 2013 - 4月 2017

認定資格

• 認定資格の詳細は未入力です。