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Guang Kun Zhang

Guang Kun Zhang




My Portfolio Highlights

My New Course

Reporting with R Markdown

My New Course

ChIP-seq with Bioconductor in R

My New Course

Designing and Analyzing Clinical Trials in R

Statistical wizard, casting spells of significance on data experiments.

My Work

Take a look at my latest work.


Course Notes: Introduction to Writing Functions in R


Competition - Everyone Can Learn Python Scholarship


Introduction to SQL

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

My Work Experience

Where I've interned and worked during my career.

RI-MUHC | Research Institute of the MUHC | #rimuhc | Jun 2021 - Present

Clinical Trials Biostatistician

• specialize in cardiovascular and diabetes research • design clinical trials and estimate sample size • identify biomarkers to predict cause-specific mortality in patients with diabetes and heart failure • write statistical reports and scientific manuscripts • perform statistical modeling (e.g. Survival Analysis, Network Pathway Analysis for Proteomic Biomarkers, Mixed-Effect Regression, Random Forest)
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Shaddari Inc. | Oct 2020 - Feb 2021

Machine Learning Intern

• Performed in-depth research, data analysis, model building in machine learning, and application development • Programmed using Python, MATLAB, R, R Shiny, Git, and bash scripting • Gained skills in research, machine learning, project management, professional writing, professional collaboration • Researched and wrote summaries and purposals in Vaccination, and AI Genomics fields • Teamed with software engineers, PhDs, and computer scientists

inDox.Me | Sep 2019 - Sep 2020

IT Consultant

• Provide consultation advices on projects and contracts • Analyze data and databases of multiple projects • Research and analyze on information technologies • Collaborate with international technology team to develop products

District 3 Innovation Centre | Jan 2020 - Apr 2020

AI Genomics Internship

• Tackled high dimensional gene expression data and limited number of available examples • Applied software and languages: Python, Google Collab, Bash, Github, Genomics Software Modelled in Python: Auto Encoder, Variational Auto Encoder (VAE), Conditional Variational Auto Encoder (cVAE) • Discovered low dimensional meaningful embedding from over 10K examples of the 39 cancer types • Explored relationships of the gene expression data, cancer types, and the clinical attributes • Provided support for research with sensitive data issues, such as open- access genomic data • Teamed with researchers in the academia (MILA – Quebec AI Institute) and the Montreal hospital

McGill University | Aug 2017 - Apr 2018

Technical Assistant

• Worked on the bioinformatics pipeline using Python, R, Linux, bash and shell scripting • Teamed with both international research groups and the private industry on improving research protocols

McGill University | Sep 2014 - Jun 2017

Research Assistant & Teaching Assistant


Fisheries and Oceans Canada | Jan 2017 - Apr 2017

Research Technician

• Assisted on the genetic reference sequences building for finfishes • Gained insights of national collaboration in the government setting

York University | May 2014 - Aug 2014

Research Technician & Book shelver & Honours Thesis Student


My Education

Take a look at my formal education

Computer Science Technology, Computer Science  · (September 2019 - MayDawson College | 2021
Attestation, Artificial IntelligenceCollège de Bois-de-Boulogne | 2019
Master of Science (M.Sc.), Biology, BioinformaticsMcGill University | 2017
Bachelor of Science (B.Sc.), Honours, Biology, BiostatisticsYork University | 2014

About Me

Guang Kun Zhang

Biostatistician in Clinical Trial.

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