Ziqi Yang
Data Scientist
Montreal, Quebec, Canada
Summary
👤
Senior🎓
Top SchoolZiqi Yang is a data scientist in Montreal who blends biology, computer science, and public health to turn complex biomedical datasets into actionable insights. With 11 years of experience and advanced training from McGill (BSc in Biology & Computer Science; MSc-level Public Health), Ziqi has applied statistical and computational methods at Health Canada and in academic biobank and GWAS projects. They have hands-on expertise in large-scale data preprocessing, SAS/R analyses, and validating novel models to improve research rigor. Currently at Ebovir Biotechnologie, Ziqi focuses on integrating computational workflows with biological questions to advance public health research. Colleagues know them for bridging multidisciplinary teams and for an unusual combination of voice-recognition backend experience and robotics design background that sharpens pragmatic engineering approaches in bioinformatics. This blend of policy-facing analysis and deep technical work makes them effective at translating data into health-focused decisions.
11 years of coding experience
4 years of employment as a software developer
Master of Science - MS Public Health, Master of Science - MS Public Health at McGill University
English, Chinese, French, Japanese, SpanishProgramming languages (1)
Github contributions (5)
emeryyi/fastcox
Mar 2017 - Feb 2020
Contributions:2 pushes in 2 years 11 months
emeryyi/website
Nov 2017 - Nov 2019
Contributions:13 pushes, 1 branch in 2 years
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