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Norman Luong is a seasoned expert in bioengineering, with a strong educational background in the field. He holds a Doctor of Philosophy (PhD) degree in Bioengineering from the University of California, San Diego, where he conducted research on single-cell chromosome-specific single base telomere length measurement with nanopores. Throughout his career, Norman has gained extensive experience in various research settings, including as a Graduate Student Researcher at UC San Diego, a Scientist I-II at Roche Molecular Systems, and an Undergraduate Researcher at UC Merced. His expertise spans multiple areas, including data analysis, research project management, and collaboration with cross-functional teams. Norman is proficient in multiple languages, including English, and has a strong foundation in programming languages such as Matlab and Python. He is also skilled in various software tools, including AutoCAD, Fusion 360, and CNC machining.

Experience

    • United States
    • Biotechnology Research
    • 1 - 100 Employee
    • Senior Systems Engineer
      • Mar 2024 - Present

    • Engineer II
      • Jan 2023 - Mar 2024

      - Codevelop data analysis workflows - Lead and assist with research projects; collaborate with other scientists; receive, implement, and provide feedback- Interface with internal scientists, external vendors, engineering service providers, and consultants

    • Graduate Student Researcher
      • Sep 2016 - Jun 2022

      Thesis: Towards single cell chromosome-specific single base telomere length measurement with nanopores - Designed microfluidic device for telomere amplification and length measurement from cell suspension - Developed fabrication process for solid state nanopores in silicon nitride starting from LPCVD wafers - Expressed and HPLC-purified protein nanopores for DNA length measurement - Designed polymerase-based amplification schemes for telomere length analysis - Drafted 2D microfluidic layouts in AutoCAD, used resulting masks to pattern molds for PDMS, assembled and tested PDMS-based microfluidic devices - Drafted 3D microfluidic-optical-electrical flow cell in Fusion 360, simulated static stress to evaluate gasket sealing, and optimized CAM paths for efficient CNC machining - Evaluated performance of telomere and subtelomere enrichment schemes with Oxford Nanopore sequencing - Generated scripts using Matlab and Python to handle large sequencing datasets

  • Roche Molecular Systems
    • Pleasanton, California
    • Scientist I-II
      • Jan 2014 - Apr 2016
      • Pleasanton, California

      Chemistry and Innovation Technologies DepartmentDeveloped HPLC methods for oligonucleotide purification and analysis.Created new protocols on automated liquid handlers to increase throughput and efficiency.Conducted studies on oligonucleotide G-quadruplex formation and Mastermix stability.

  • UC Merced
    • Merced, California, United States
    • Undergraduate Researcher
      • Jan 2012 - May 2013
      • Merced, California, United States

      Ye Group - Nanoscale Measurement and Molecular Devices:• Prepared, functionalized, and imaged (via atomic force microscopy) surface-assembled monolayers (SAMs) for DNA sensing• Synthesized and quality test DNA targets for use with SAM based sensors• Presented to lab group bi-monthly on progress of current experiments, and prepared a report detailing overall progress and methods for each semester

Education

  • 2016 - 2022
    UC San Diego
    Doctor of Philosophy - PhD, Bioengineering
  • 2009 - 2013
    University of California, Merced
    Bachelor of Science (B.S.), Bioengineering

Suggested Services

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Industry Focus. “Biotechnology”

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