Bioinformatics Scientist


Greetings! I’m a graduate student at UC Davis. My study focuses on completing functional annotation of the horse genome. I have a strong interest of applying genomics tools to non-model organisms to improve health care of companion and agricultral animals, as well as to enhance wildlife preservation.


  • Functional genomics
  • Animal welfare
  • Workflow design and management


  • Programming & Informatics
    • Python, R
    • Linux shell
    • Git
    • HPC and cloud computing
    • Workflow development with Snakemake
  • Data Literacy:
    • Pandas, NumPy, SciPy, Matplotlib, SQLite
    • Bayesian statistical analysis
    • Genomic association studies
    • Bioinformatics tools for multi-omics analyses (GATK, BWA, SAMtools, STAR, Salmon, StringTie, EdgeR, MACS2, ChromHMM, blast)
  • Bench Science:
    • PCR, DNA and RNA extraction
    • Gel Electrophoresis
  • Soft Skills:
    • Literature Search
    • Project Management
    • Scientific Communication


Graduate Student

Davis, CA
Since Sep 2017

  • Lead Bioinformatics analyses utilizing multiple NGS assays to generate a complete functional annotation for the equine genome
  • Developed and maintain in-house short-read mapping and variant discovery pipelines
  • Developed a variant visualization script using R that helped discover a novel disease-causing variant (Rivas et al., 2020)
  • Developed a data mining and analysis script using Python and Bash that helped discover and validate disease-causing variants (Finno et al., 2018; Sieck et al., 2020; Valberg et al., 2020)

Bioinformatics Intern, Guardant Health

Redwood City, CA
Jun 2021 – Sep 2021

  • Developed data cleaning pipeline for Guardant INFORM Real-World Evidence data
  • Established framework for BioPharma studies using Guardant INFORM dataset
  • Established algorithm to infer real-world Time to Next Treatment and validity of it as basis for real-world survival analyses

Research Intern, Veterinary Genetics Lab

Davis, CA
Apr 2019 – Jun 2019

  • Led pipeline development for in-house assays
  • Developed a program using Python to easily deploy custom pipeline using Opentrons OT-2 liquid handler, improving operation efficiency


  • PhD in Integrative Genetics and Genomics, in progress
    • University of California, Davis
  • MSc in Forensic Science, 2017
    • University of California, Davis
  • BSc in Biology, 2015
    • University of Science and Technology of China


Lead Instructor, Data Carpentry

Since Mar 2020

– Led multiple Data Carpentry workshop in R, Python, and SQL for universities and industry partners – Helped dozens of bench scientists learn computational tools in both R and Python


University Debate Team Captain

University of Science and Technology of China

– Founding member and first captain of the university debate team – Champion of several regional debate tournaments