Calvin Chan is a research-focused Ph.D. candidate and bioinformatics engineer with nine years of experience applying machine learning, nonlinear system identification, and statistical methods to large-scale genomics and biomedical signal data. Based at the German Cancer Research Center and Heidelberg University, he designs and implements bioinformatics pipelines to identify functional impacts of somatic non-coding mutations and contributes to international consortia such as ICGC Pan-Cancer. His background spans academia and industry—from EMG nonlinear modelling and TB-scale NGS analysis to strategy consulting and recruitment research—giving him a rare mix of technical depth and cross-disciplinary project management. Proficient in MATLAB, Python, R, C and LabView, he also runs internal ML seminars and directly supervises students, bridging research and training. An avid painter who has lived in 11 cities across three continents, he brings creative perspective and cultural adaptability to collaborative, multinational science.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering (B.Eng.), Computer Engineering, Bachelor of Engineering (B.Eng.), Computer Engineering at McMaster University
Doctor of Philosophy (PhD), Bioscience, Bioinformatics, Doctor of Philosophy (PhD), Bioscience, Bioinformatics at Ruprecht-Karls-Universität Heidelberg
Diploma in Fine Arts (Dip.F.A.), Painting, Diploma in Fine Arts (Dip.F.A.), Painting at HKAC, Hong Kong Art School
Master of Applied Science (M.A.Sc.), Electrical Engineering - Biomedical Engineering, Master of Applied Science (M.A.Sc.), Electrical Engineering - Biomedical Engineering at Queen's University
Advanced Statistics and Data Mining Summer School, Computer Science, Advanced Statistics and Data Mining Summer School, Computer Science at Universidad Politécnica de Madrid
Graduate Course, Digital Signal Processing, Graduate Course, Digital Signal Processing at University of Ottawa / Université d'Ottawa
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