Conan Y. Zhao

Medical Student at Mayo Clinic School of Medicine
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Contact Information
us****@****om
(386) 825-5501
Location
GE
Languages
  • English Native or bilingual proficiency
  • Chinese Limited working proficiency
  • Spanish Limited working proficiency

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Karan Kapuria

I met Conan when we were both Research Assistants at Brown Lab. We worked together on various projects on machine learning and microbiome analysis. Conan Zhao did an exceptional job at work, especially with his remarkable data visualization and mathematical modelling skills. He was a passionate, great and creative co-worker. Thanks to interpersonal skills, Conan Zhao has great relations with everyone in the lab and staff. He definitely is one of the best among all people I have ever met, who understands complex matters.

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Credentials

  • Introduction to Probability and Data
    Coursera
    Jan, 2018
    - Oct, 2024
  • Structuring Machine Learning Projects
    Coursera
    Jan, 2018
    - Oct, 2024
  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
    Coursera
    Nov, 2017
    - Oct, 2024
  • Neural Networks and Deep Learning
    Coursera
    Aug, 2017
    - Oct, 2024
  • Machine Learning Foundations: A Case Study Approach
    Coursera
    Jul, 2017
    - Oct, 2024

Experience

    • United States
    • Higher Education
    • 1 - 100 Employee
    • Medical Student
      • Jul 2022 - Present
    • United States
    • Higher Education
    • 700 & Above Employee
    • Graduate Research Assistant
      • Aug 2019 - Jul 2022

      Thesis: https://smartech.gatech.edu/handle/1853/67232

    • Research Assistant
      • Nov 2016 - Jul 2019

    • United States
    • Higher Education
    • 700 & Above Employee
    • Summer Research Scholar
      • May 2013 - Apr 2016

      FRIEND LAB (Jan 2015 - Apr 2016) Predicted peptide-specific lag times for given yeast mRNAs, fit to large transcriptome stability and ribosome/disome traffic datasets. [C++/R] LEVY LAB (May 2015 - Aug 2015) Developed a computer vision based landing algorithm (aka played with an AR-Parrot 2.0 all Summer). [Python] MAZILU LAB (May 2013 - May 2014) Developed mathematical & computational models of ionic self-assembling monolayers (ISAM) with cooperative sequential-adsorption (CSA) dynamics. [C++/Maple]

    • MIT MSRP-BIO
      • Jun 2014 - Aug 2014

      GORE LAB (supervisor: Dr. Barrett Deris) Developed automated bacterial growth curve analysis and approximated being a bench microbiologist. [R] Also learned how to sail. GORE LAB (supervisor: Dr. Barrett Deris) Developed automated bacterial growth curve analysis and approximated being a bench microbiologist. [R] Also learned how to sail.

Education

  • Mayo Clinic School of Medicine
    Doctor of Medicine - MD
    2022 - 2026
  • Georgia Institute of Technology
    PhD, Quantitative Biosciences
    2019 - 2022
  • Washington and Lee University
    B.S/B.A., Physics/Math
    2012 - 2016
  • Maggie L. Walker Governor's School
    2009 - 2012

Community

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