Johnny Sin

Research Associate at Alkahest, Inc.
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Contact Information
us****@****om
(386) 825-5501
Location
US

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Credentials

  • Supervised Machine Learning: Regression and Classification | DeepLearning.AI, Stanford University
    Coursera
    Nov, 2022
    - Nov, 2024
  • Google Data Analytics Professional Certificate
    Google
  • R Programming
    The Johns Hopkins University

Experience

    • United States
    • Biotechnology Research
    • 1 - 100 Employee
    • Research Associate
      • May 2021 - Present

      Developed and implemented a working R-programming based Shiny app to streamline data production, dashboard generation, and analytical efficiency, while also maintaining other Shiny Tools created for research Analyzed research and experimental data using R, Excel, and Prism to run various statistical tests to validate therapeutic effect on age-related neurological disorders. Contributed to expanding the pipeline of various plasma targets by discovering new models and assays Started a new remyelination program at the company by presenting a novel approach to scientists and directors. Mentored junior employees on proper techniques, graphic design for figure generation, and using R for analysis.

    • United States
    • Higher Education
    • 700 & Above Employee
    • Junior Specialist, Research Coordinator
      • Jul 2017 - Present

      Analytical work: Analyzed large clinical and experimental datasets using R to generate reports for physicians and collaborating scientists. Created a new script in MATLAB to expedite retinal segmentation process and reducing bias in the analysis As part of multiple Phase II clinical trials, excelled in resolving issues due to unforeseen circumstances by creatively improvising solutions in a fast-paced environment Recommended data standardization and usage for protection of data integrity. Updated organizational databases to improve and streamline data collection. Research: Conducted research on visual system during multiple sclerosis through a mix of translational and biomolecular techniques such as inducing EAE, genotyping, ELISA, transcardial perfusion, murine CNS tissue extraction, immunohistochemistry, cryosection, microscopy, transcorneal electrical stimulation, and optical coherence tomography (OCT). Discovered a protocol and script to analyze retinal cross sections derived from immunofluorescence. In the clinic, implemented cognitive tests and measured visual evoked potentials and operated various retinal imaging equipment such as OCT, fluorescence angiography, and recorded eye motion videos with a scanning laser ophthalmoscope along with standard visual acuity, visual fields, vitals, pupillometry, and visual evoked potentials. Taught other UCSF Lab personnel proper animal handling, conducting visual exams in both humans and animals, research protocols, and graphic design

    • United States
    • Higher Education
    • 700 & Above Employee
    • Undergraduate Student Instructor
      • Jan 2017 - May 2017

    • Research Assistant
      • Jan 2016 - May 2017

    • Research Assistant
      • 2015 - 2016

    • Lab Assistant/Instructor
      • Jan 2015 - May 2015

    • Laboratory Assistant
      • 2014 - 2015

    • United States
    • Biotechnology
    • 1 - 100 Employee
    • Product Engineer, Product Marketing Team
      • Jun 2015 - May 2017

    • United States
    • Higher Education
    • 700 & Above Employee
    • Laboratory Technician
      • 2011 - 2012

Education

  • UC Berkeley
    Bachelor of Arts (B.A.), Molecular and Cell Biology
    2013 - 2017

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