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Gui Chen

Gui Chen is seeking an entry-level data scientist position with experience in bioinformatics. He has a Master's degree in bioinformatics from Marquette University and a Bachelor's degree in biology from Sun Yat-Sen University. His capstone projects involved predicting long non-coding RNA transcripts from rat renal cell libraries and phylogenetic reconstruction and divergence time estimation of mangrove ferns. He has skills in programming languages like Perl, Python, and Java as well as statistical and data analysis tools like R, MySQL, and sequencing analysis tools. He has intern experience as a research assistant in Beijing and bioinformatics analyst at the Medical College of Wisconsin.

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Gui Chen 833 N 14 St, Milwaukee, WI 53233 | Email: chengui_bill@yahoo.com | Mobile: (414)364-4082 LinkedIn: www.linkedin.com/in/gui-chen-polybioinfo |Personal Website(PolyBioInfo): www.polybioinfo.com OBJECTIVE Junior professional seeking for an entry-level data scientist job. EDUCATION M.S, Bioinformatics August 2016 Marquette University, Milwaukee, WI, United States, GPA: 3.4/4.0 B.S, Biology July 2014 Sun Yat-Sen University, Guangzhou, Guangdong Province, China, GPA: 3.4/4.0 PROJECT EXPERIENCE Capstone Project: M.S, Marquette University June 2015 to December 2015 Predicting lncRNA Transcripts from Comprehensive Rat Renal Cell Type-Specific Transcriptome Libraries Reads mapping and alignment with TopHat Construct transcripts with Trinity and quantifying transcript abundance with Cufflink Comparative genome analysis and homologous analysis using PhyloCSF and Blastx Multiple steps of filtering lncRNAs based on transcript traits such as coding area length and expression level B.S, Sun Yat-Sen University December 2013 to May 2014 Phylogeny Reconstruction and Divergence Time Estimation in the Mangrove Fern Genus Acrostichum Total DNA extraction and purification, PCR amplification of five genes and Sanger sequencing Phylogenetic analysis with Mega5, constructing evolution tree with neighbor joining method and maximum likelihood method. Using MCMC Tree method to estimate the divergence time within Acrostichum. Course Work Project: Marquette University Spring 2015 Data Mining: Finding and Interpretation of Gene Expression Pattern Correlated with Alzheimers Disease Cluster gene expression data of positive and negative samples to find disease-related expression pattern Find differential expression of genes using limma package in R with Bonferroni correction applied Building Classifier to predict whether a sample is positive or negative by applying logistic regression model on the compact form of the dataset resulted from singular value decomposition of the original dataset Marquette University Spring 2016 Simulation: Implementation of Stochastic Hodgkin-Huxley Model CORE CAPABILITY Personal Trait: Fast Learning, Strong Logic, Executive Force, Well Organized, Comprehensive Sense Patience, Diligence, Teamwork Spirit, Service Spirit Professional Skill: Scripting: Perl/Bioperl, Python/Biopython, Linux Bash Shell Statistics and Data Mining: R/Bioconductor Objective Oriented Programming: Java/Eclipse Database: MySQL Next Generation Sequencing Data Analysis Tools: SAMTOOLS, BWA, GATK, Cufflink, TopHat2 and more Scientific Computing: Matlab Website Development: A basic understanding of HTML, CSS, Javascript and PHP A basis understanding of Parallel Computing and Distributed System INTERN EXPERIENCE Research Assistant Trainee January 2012 to March 2012 Chinese Academy of Sciences, Beijing, China Learn and perform molecular biology experiment techniques such as gel electrophoresis, Western blot and Southern blot Read cutting-edge papers to track the state of art of research methodology of molecular biology Practicum Student (Bioinformatics Analyst) June 2015 to December 2015 Medical College of Wisconsin, Milwaukee, Wisconsin, United States Build NGS data analysis pipeline according to the workflow suggested by papers Maintain, annotate and document existent scripts in the Lab

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  • 1. Gui Chen 833 N 14 St, Milwaukee, WI 53233 | Email: chengui_bill@yahoo.com | Mobile: (414)364-4082 LinkedIn: www.linkedin.com/in/gui-chen-polybioinfo |Personal Website(PolyBioInfo): www.polybioinfo.com OBJECTIVE Junior professional seeking for an entry-level data scientist job. EDUCATION M.S, Bioinformatics August 2016 Marquette University, Milwaukee, WI, United States, GPA: 3.4/4.0 B.S, Biology July 2014 Sun Yat-Sen University, Guangzhou, Guangdong Province, China, GPA: 3.4/4.0 PROJECT EXPERIENCE Capstone Project: M.S, Marquette University June 2015 to December 2015 Predicting lncRNA Transcripts from Comprehensive Rat Renal Cell Type-Specific Transcriptome Libraries Reads mapping and alignment with TopHat Construct transcripts with Trinity and quantifying transcript abundance with Cufflink Comparative genome analysis and homologous analysis using PhyloCSF and Blastx Multiple steps of filtering lncRNAs based on transcript traits such as coding area length and expression level B.S, Sun Yat-Sen University December 2013 to May 2014 Phylogeny Reconstruction and Divergence Time Estimation in the Mangrove Fern Genus Acrostichum Total DNA extraction and purification, PCR amplification of five genes and Sanger sequencing Phylogenetic analysis with Mega5, constructing evolution tree with neighbor joining method and maximum likelihood method. Using MCMC Tree method to estimate the divergence time within Acrostichum. Course Work Project: Marquette University Spring 2015 Data Mining: Finding and Interpretation of Gene Expression Pattern Correlated with Alzheimers Disease Cluster gene expression data of positive and negative samples to find disease-related expression pattern Find differential expression of genes using limma package in R with Bonferroni correction applied Building Classifier to predict whether a sample is positive or negative by applying logistic regression model on the compact form of the dataset resulted from singular value decomposition of the original dataset Marquette University Spring 2016 Simulation: Implementation of Stochastic Hodgkin-Huxley Model CORE CAPABILITY Personal Trait: Fast Learning, Strong Logic, Executive Force, Well Organized, Comprehensive Sense Patience, Diligence, Teamwork Spirit, Service Spirit Professional Skill: Scripting: Perl/Bioperl, Python/Biopython, Linux Bash Shell Statistics and Data Mining: R/Bioconductor Objective Oriented Programming: Java/Eclipse Database: MySQL Next Generation Sequencing Data Analysis Tools: SAMTOOLS, BWA, GATK, Cufflink, TopHat2 and more Scientific Computing: Matlab Website Development: A basic understanding of HTML, CSS, Javascript and PHP A basis understanding of Parallel Computing and Distributed System INTERN EXPERIENCE Research Assistant Trainee January 2012 to March 2012 Chinese Academy of Sciences, Beijing, China Learn and perform molecular biology experiment techniques such as gel electrophoresis, Western blot and Southern blot Read cutting-edge papers to track the state of art of research methodology of molecular biology Practicum Student (Bioinformatics Analyst) June 2015 to December 2015 Medical College of Wisconsin, Milwaukee, Wisconsin, United States Build NGS data analysis pipeline according to the workflow suggested by papers Maintain, annotate and document existent scripts in the Lab