Education

  • Columbia University (2021 - )
    • Master of Science in Biostatistics, Statistical Genetics track
  • Purdue University (2017 - 2021)
    • Bachelor of Science in Chemistry ACS (American Chemistry Society)
    • Minor in Mathematics

Professonal Experience

  • Shanghai Topgen Biopharm Company Limited (Shanghai China)
    • Intern of Bioinformatics Department (Aug.- Nov. 2020)
    • Analyze and visualize genetic data for cancer patients using Python
      • Extract and separated data from Next Generation Sequencing (NGS) based on various gene panels
      • Create interactive plots for visualization and produce reports to each patient

Research Experience (Data Analysis)

  • Data Analytics Online Research Program at Stanford University
    • Research Assistant (Jul 2020)
    • Performed image denoising using Python Skimage and Matplotlib
    • Applied PCA(Principal Components Analysis) to fundus photos & classify glaucoma images with KNN using Sklearn
    • Implemented simple CNN model using Keras for glaucoma analysis
  • Yuk Ling Yung Group’s Carbon Dioxide Extraction Lab at Caltech
    • Research Assistant (Jun 2016 - Jun 2017)
    • Extracted CO2 from air samples collected from LA area (three times a week)
    • Employed Python to plot graphs of CO2 concentration vs. various factors such as temperature, humidity, wind direction

Research Experience (Chemistry)

  • Hilkka Kenttamma’s Group at Purdue University
    • Research Assistant (Jan 2020 - May 2020)
    • Operated Linear Quadrupole Ion Trap (LTQ) mass spectrometer that uses ESI/APCI for ion generation
    • Synthesized various organic molecules for mass spectrometer analysis
    • Planned to investigate the possible pharmaceutical applications of aromatic hydroxylamines (suspended due to the pendamic)
  • Christopher Uyeda’s Group at Purdue University
    • Research Assistant (Oct 2018 - Dec 2019)
    • Conducted multi-step catalytic reactions individually on both large scales and small scales
    • Synthesized organic molecules applied to medicine, using rotovap, columns, TLC, glove box, etc.
    • Identified compounds by operating 300 Hz/400Hz NMR, and purified compounds

Skills

  • Programming Skills: Python, Java, R
  • Lab Skills: Trained in 300 MHz Varian NMR, 400 MHz Brucker NMR, Column Chromatography, Glove box, Thin Layer Chromatography, LTQ Mass Spectrometer, HPLC, IR and Rotovap
  • Languages: Mandarin, Cantonese, English