Education

Work Experience

• Research Scientist, University of Arizona
  • Research Assistant Professor, University of Arizona, 2020
  • Research Specialist, Principle, University of Arizona, 2017-2019
  • Omics Data Management: Oversaw the storage, preprocessing, and sharing of lab omics data (RNA-Seq, single-nuclear RNA-Seq, metabolomics, lipidomics, metadata) across 20+ datasets from 500+ animal models (mouse, rat, human tissue). Ensured timely data release post-publication.
  • Data Compliance & Governance: Managed and tracked data use agreements and applications, ensuring compliance with UK Biobank, NACC, ADNI, ROSMAP, Synapse, FHS, and other datasets.
  • Bioinformatics Training & Support: Trained junior researchers in bioinformatics pipelines, including statistical analysis and inferences, differential expression, pathway analysis, and network analysis.
  • Collaborative Research: Provided bioinformatics expertise to wet-lab teams, built and maintained multiple data analysis pipelines, and integrated omics data (RNASeq, single cell RNASeq, lipidomics and metabolomics) to support translational research.
  • Biomedical & Clinical Research data Analysis:
    • Data mining and analyzing from real-world datasets (NACC, ADNI, UK Biobank) for Alzheimer’s disease research, contributing to multiple grants and publications.
    • Conducted clinical study design, omics and biomedical analyses for clinical trials (Allopregnanolone NCT03748303, PhytoSERM NCT05664477), supporting the $37M Phase II Allopregnanolone trial (NCT04838301).
• Research Associate, Hong Kong Univerisyt of Science and Technology, 2014-2016
  • Pattern Matching & Sequence Analysis: Developed computational methods to generalize research findings using pattern matching across online resources.
  • Feature Engineering: Generated sequence features based on structural analysis to enhance target identification.
  • Target Search & Optimization: Designed regular expression-based feature matching for target discovery. Optimized a peptide targeting MAGUK proteins, potentially linked to Autism.
  • Automated Literature Mining: Implemented web crawlers and keyword-based searches to extract relevant evidence from scientific literature.

Education

• Computer Science (Machine Learning Specification), Master of Science, Georgia Institute of Technology, Dec 2024

• Statistics, Master of Science, University of Arizona, 2020

• Biochemistry, Doctor of Philosophy, Hong Kong Univerisyt of Science and Technology,2014

• Bioinformatics, Bachelor of Science, Shanghai Jiaotong University 2009