CV

======

Education

• Ph.D. of Science in Computational Chemistry
  • Temple University
  • location: Philadelphia, PA
  • date: Sep.2015 - Aug.2020
  • GPA: 3.84/4.00
  • Subjects and fields of Study: Scientific Computation, High Performance Computing, Parallel Computing
• M.E. in Xiamen University
  • location: Xiamen, China
  • date: Sep.2011 - Jun.2014
  • GPA: 3.59/4.00

Work experience

• Computational Biology Postdoc
  • Oct.2020 - Sep.2021
  • The Wistar Institute, University of Pennsylvania in Philadelphia.PA
  • Duties included:
    • Cleaned and analyzed RNA-seq data to extract gene expression insight by R statistical package
    • Developed and optimized analysis pipeline for different sequencing libraries
    • Helped maintain computational resources in the lab
    • Improved the single-cell data process efficiency by 500% using parallel computing
• Research Assistant
  • Jun.2016 - Aug.2020
  • Temple University in Philadelphia.PA
  • Duties included:
    • Worked in Dr.Frank Spano lab and studied light–matter interaction from spectral data,
    • Tried to understand the insight of molecule aggregate and publish four high impact papers.
    • Utilized Sparse matrix technique and CPU/GPU parallel computation to boost computation speed up to 3 times faster.

Skills

• Programming:
  • Python (Sklearn, Pandas, NumPy, TensorFlow, PyTorch)
  • R
  • SQL
  • Tableau
  • Spark
  • C++
  • Fortran
• Machine Learning:
  • Classical & Penalized Regression Methods (Lasso, Ridge)
  • K Nearest Neighbors
  • K-means
  • Principal Component Analysis (PCA)
  • Feature Engineering
  • Model Evaluation
  • Deep Learning
  • Latent Dirichlet Allocation (LDA)
  • Ensemble Learning
  • Image Processing
• Statistics Analysis:
  • Experimental Design
  • Hypothesis Testing
  • A/B Testing
  • Text Mining
  • Time Series Analysis
  • Exploratory Data Analysis
• Other:
  • Amazon Web Services(AWS): S3, RDS, Lambda, DynamoDB, EC2
  • Docker
  • Slurm