Skip to content

Calvin W. Y. Chan

  • Research Student
  • PhD Student
  • DKFZ - German Cancer Research Center
  • 4PublicationsNumber of items in Calvin W. Y.'s My Publications folder on Mendeley.
  • 9Followers

Recent publications

  • Passenger mutations in 2500 cancer genomes: Overall molecular functional impact and consequences

    • Kumar S
    • Warrell J
    • Li S
    • et al.
    N/AReaders
    N/ACitations
  • Discovery and characterization of coding and non-coding driver mutations in more than 2,500 whole cancer genomes

    • Rheinbay E
    • Nielsen M
    • Abascal F
    • et al.
    N/AReaders
    N/ACitations
    Get full text

Professional experience

PhD Student

DKFZ - German Cancer Research Center

December 2013 - Present

Research Student

Queen's University

September 2011 - August 2013(2 years)

Teaching Assistant

Queen's University

September 2011 - December 2011(3 months)

Teaching Assistant

Queen's University

September 2010 - December 2010(3 months)

Field Application Engineer

SAS Electronics

Intern Design Analyst

Semiconductor Insights Inc.

Intern Engineer

Trillium Photonics

Education

PhD

University of Heidelberg

December 2013 - January 2014(a month)

Master of Applied Science, Biomedical Engineering (Electrical and Computer Engineering)

Queen's University

September 2009 - September 2011(2 years)

Bachelor of Engineering, Computer Engineering

McMaster University

September 1998 - June 2003(5 years)

Research interests

Biological Signal Analysis Bioinformatics Nonlinear System Identification Discrete Event Systems Control

About

Currently pursuing Doctorate degree under the supervision of Dr. Carl Herrmann in the area of Bioinformatics at University of Heidelberg and focusing on his research in the German Cancer Research Center. Calvin attained his Master of Applied Science, Biomedical Engineering in 2011 under the supervision of Dr. Evenlyn Morin at Queen's University, Kingston, Canada. Research focus mainly on bioinformatics, and biological signal analysis for medical applications, wavelet and nonlinear analysis techniques to Electromyographic Signals (EMG).

Groups