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 Alzheimer’s 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