プロフィール詳細

プロジェクトを作成

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Vipin M.に依頼

United States

Specialized Computational Biologist in AI-Driven Genomic Research | Expert in Python, R, and Data Analysis

プロフィール概要

I am a computational biologist with expertise in CRISPR technologies, single-cell multiomics, and AI-driven bioinformatics. My work focuses on developing computational models for genome editing, tumor heterogeneity, and single-cell data analysis. I have applied AI, including machine learning and deep learning, to optimize sgRNA design, predict editing efficiency, and analyze single-cell data. With a PhD in Computational Biology and strong programming skills (Python, R, Linux), I have published in high-impact journals and contributed to creating bioinformatics tools and platforms for precision medicine applications.

専門分野

• ☆ Computational Biology
• ☆ Data Analysis
• ☆ Data Collection
• ☆ Machine Learning
• ☆ Deep Learning
• ☆ Bioinformatics
• ☆ Gene & Protein Expression Analysis
• ☆ R

サービス

• Research
• Data & AI

Research Fact Checking, Gap Analysis

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

職務経験

Research Post doctoral Fellow

Children's National

6月 2024 - 現在

Research Officer

Walter and Eliza Hall Institute of Medical Research

1月 2023 - 8月 2023

学歴

Phd (Life science)

Hanyang University

9月 2014 - 8月 2022

Junior Research Fellow (Physics)

Indian Institute of Technology Indore

2月 2014 - 8月 2014

Master (Bioinformatics)

SRM University

9月 2011 - 9月 2013

intern (Stem cell Biology)

Harvard-MIT Division of Health Sciences and Technology

2月 2013 - 7月 2013

Bachelor's (Bioinformatics)

Padmashree Dr D Y Patil Institute of Engineering and Technology

8月 2007 - 8月 2011

認定資格

• 認定資格の詳細は未入力です。

出版物

JOURNAL ARTICLE

Jang-il Sohn, Min-Hak Choi, Dohun Yi, Vipin A. Menon, Yeon Jeong Kim, Junehawk Lee, Jung Woo Park, Sungkyu Kyung, Seung-Ho Shin, Byunggook Na, et al. (2022). Ultrafast prediction of somatic structural variations by filtering out reads matched to pan-genome k-mer sets . Nature Biomedical Engineering.

(2020). Single-cell transcriptome maps of myeloid blood cell lineages in Drosophila . Nature Communications.

(2020). CGD: Comprehensive guide designer for CRISPR-Cas systems . Computational and Structural Biotechnology Journal.

Hui K Kim, Myungjae Song, Jinu Lee, A Vipin Menon, Soobin Jung, Young-Mook Kang, Jae W Choi, Euijeon Woo, Hyun C Koh, Jin-Wu Nam, et al.(2017). In vivo high-throughput profiling of CRISPR–Cpf1 activity . Nature Methods. 14. (2). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 153--159. Springer Science and Business Media {LLC}

(2014). Randomness and preserved patterns in cancer network . Scientific Reports.

PREPRINT

Min-Hak Choi, Jang-il Sohn, Dohun Yi, A Vipin Menon, Yeon Jeong Kim, Sungkyu Kyung, Seung-Ho Shin, Byunggook Na, Je-Gun Joung, Sungro Yoon, et al. (2020). Ultra-fast Prediction of Somatic Structural Variations by Reduced Read Mapping via Pan-Genomek-mer Sets .