Bo Gao

Product Manager & Data Scientist at Deep Breath Intelligence
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Contact Information
us****@****om
(386) 825-5501
Location
Zurich, Switzerland, CH
Languages
  • English Full professional proficiency
  • German Limited working proficiency
  • Chinese Native or bilingual proficiency

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Bio

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Experience

    • Switzerland
    • Biotechnology Research
    • 1 - 100 Employee
    • Product Manager & Data Scientist
      • Feb 2022 - Present

    • AI/ML Specialist & Biostatistician
      • Feb 2021 - Feb 2022

    • Switzerland
    • Research Services
    • 100 - 200 Employee
    • PHD Candidate
      • Sep 2016 - 2021

    • Switzerland
    • Higher Education
    • 700 & Above Employee
    • PHD Candidate
      • 2016 - 2021

      Modeling and analysis of tumor copy number data. Research on cancer detection methods using deep learning and machine learning techniques. Generated mutational signatures of 31 cancer types and achieved over 80% accuracy in tumor classification. Developed bioinformatic pipelines to integrate high volume and heterogeneous data. The published libraries were quickly adopted by the research community with over 200 monthly downloads. Optimized lab’s DNA sequencing pipeline. Experience in… Show more Modeling and analysis of tumor copy number data. Research on cancer detection methods using deep learning and machine learning techniques. Generated mutational signatures of 31 cancer types and achieved over 80% accuracy in tumor classification. Developed bioinformatic pipelines to integrate high volume and heterogeneous data. The published libraries were quickly adopted by the research community with over 200 monthly downloads. Optimized lab’s DNA sequencing pipeline. Experience in data analysis of long-read RNA sequencing. International collaboration in the Beacon project of GA4GH and ELIXIR that facilitates access to genomic data on a global scale. Collective commitments to the standardization of the data format and structure. Presentations at international scientific meetings. Curriculum development and teaching in bioinformatics and statistics courses. Show less Modeling and analysis of tumor copy number data. Research on cancer detection methods using deep learning and machine learning techniques. Generated mutational signatures of 31 cancer types and achieved over 80% accuracy in tumor classification. Developed bioinformatic pipelines to integrate high volume and heterogeneous data. The published libraries were quickly adopted by the research community with over 200 monthly downloads. Optimized lab’s DNA sequencing pipeline. Experience in… Show more Modeling and analysis of tumor copy number data. Research on cancer detection methods using deep learning and machine learning techniques. Generated mutational signatures of 31 cancer types and achieved over 80% accuracy in tumor classification. Developed bioinformatic pipelines to integrate high volume and heterogeneous data. The published libraries were quickly adopted by the research community with over 200 monthly downloads. Optimized lab’s DNA sequencing pipeline. Experience in data analysis of long-read RNA sequencing. International collaboration in the Beacon project of GA4GH and ELIXIR that facilitates access to genomic data on a global scale. Collective commitments to the standardization of the data format and structure. Presentations at international scientific meetings. Curriculum development and teaching in bioinformatics and statistics courses. Show less

    • Research Assistant
      • 2013 - 2016

      Participated in research projects on DNA-binding proteins, B-Cell epitopes, and protein structure prediction. Responsible for model selection, data visualization, and result verification. Obtained in-depth knowledge of machine learning, intelligent algorithms, and statistical analyses. Participated in research projects on DNA-binding proteins, B-Cell epitopes, and protein structure prediction. Responsible for model selection, data visualization, and result verification. Obtained in-depth knowledge of machine learning, intelligent algorithms, and statistical analyses.

  • Inch Tech
    • Shanghai City, China
    • Founder, CEO
      • 2009 - 2013

  • Change Technology
    • Shanghai City, China
    • Project Manager
      • 2007 - 2009

  • MVS
    • Shanghai City, China
    • Solution Engineer
      • 2006 - 2007

  • LL Trading
    • Toronto, Canada Area
    • Software Engineer
      • 2005 - 2006

Education

  • University of Zurich
    Doctor of Philosophy - PhD, Bioinformatics and cancer genomics
    2016 - 2021
  • Northeast Normal University
    Master of Science - MS, Machine learning and bioinformatics
    2013 - 2016
  • University of Waterloo
    Bachelor's degree, Mathematics and Computer Science
    2001 - 2005

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