Lingyu Zhou
Bioinformatician
Motivated bioinformatician possessing Master degrees in both Biology and Bioinformatics. Practiced machine learning, Bayesian inference using real world data. Capable of full stack web development and comfortable with a variety of programming languages. Meticulous about code commenting and “DRY”
(Don't repeat yourself) coding principle.
Research and work experience : programming related; : biology related Prof. Gary Benson' lab, Boston University Boston, MA Research Intern 2018 Feb. - 2018 May
Implemented web-based VNTRView, a viewer for genomic tandem repeat variants results. (github)
Python-flask as server; sqlite3 for relational database;
JavaScript, HTML and CSS for front-end; RESTFUL API and AJAX for server-client communication. BU Bioinformatics HUB, Boston University Boston, MA Research Intern 2017 May. - 2017 Aug.
Conducted orthologous gene discovery in S. pneumoniae pan-genome and RNA-seq analysis.
Information retrieval from NCBI Ortholog discovery using BLAST and PanOCT
Deferentially expressed gene discovery using BWA, HTseq and DESeq2 Implemented analysis pipeline on computer cluster using snakemake (pythonic to GNU make). National Key Laboratory, Sichuan University Chengdu, China Research Intern 2016 Apr. - 2016 Jul.
Researched on plasmid cloning using endogenous recombinase in E. coli. Marine Biological Laboratory Woods Hole, MA
Visiting Research Assistant 2015 Jul. - 2015 Aug.
Generated mutant zebrafish line using CRISPR/cas9-based gene knockout technology. Hong Kong University of Science and Technology Hong Kong Research Assistant 2014 Nov. - 2015 Nov.
Continued research on zebrafish muscle development. Built conference website for 6th Asian Oceanic Zebrafish Meeting hosted at HKUST. Hong Kong University of Science and Technology Hong Kong Master's in Life Science 2012 Sept. - 2014 Aug.
Generated transgenic zebrafish for studying calcium signaling in muscle development. Developed Java-based image analysis software for in-house bioluminescent imaging system. Education
Master in Bioinformatics, Boston University Exp. 2018 Sept.
GPA: 3.82/4.00 (estimated)
Courses highlight: Computational Biology, Statistical Machine Learning. Master in Life Science, Hong Kong University of Science and Technology 2014
GPA: 3.30/4.00
Bachelor in Biology, Hong Kong University of Science and Technology 2012
GPA: 3.52/4.00
First class honors
Practical skills
Computational
• Client-side HTML, Javascript, CSS and server-side Python, SQL programming for website construction.
• Data analysis and machine learning using Python and R.
• Git repository management.
• Code documentation and management.
Statistical
• Experience in Bayesian statistical inference.
• Sufficient understanding in machine learning principles and algorithms. Biological
• Molecular- and micro-biology skills and more.