Experience

  1. Computational Biologist, Cancer Immunology and Bioinfomatics

    Harvard Medical School/Mass General Hospital

    Transformed complex data into pre-clinically validated cancer prevention and treatment through rigorous biological & mathematical reasoning:

    • Demonstrated impact and outcome by my (co-)first-author publications : Nature Communications(2025), Oncogene(2022 and 2025), EMBO Reports(2023), two manuscripts in preparation
    • Leveraged single-cell and spatial genomics to identify and preclinically validate targets driving novel cancer prevention and treatment
    • Built end-to-end spatial genomics pipelines— from sample preparation and sequencing library construction to bioinformatics analysis, publication-ready presentation, and preclinical validated discoveries
    Project Overviews All Computational Biology Blogs

  2. Computational Biologist, Immunology and Bioinfomatics

    Harvard Medical School/Mass General Hospital
    • Led a multi-institutional collaboration between a biotech partner, Harvard Medical School, and the Broad Institute
    • High-containment (Biosafety level 3) molecular and cellular biology that requires highly precise and proficient experimental plan and execution.
    • Developed lung slice models for studying initial host-pathogen interactions in human lungs to enable early detection of asymptomatic infections
    • Built SeqWins: An R package allowing flexible base trimming and complete Fastq analysis on Windows System as fast and memory-efficient as linux
    • Built a customized, comprehensive pathway analysis pipeline that uncovered key signaling for macrophage to control infection
    Conference Talk

Education

  1. Artificial Intelligence

    Harvard University

    Hands-on series of generative AI, transformer LLMs.

    Training included:

    • LLMs and agentic workflows
    • LLM tooling and fine-tuning (LoRA/QLoRA)
    • Embeddings, RAG, and multi-modal foundation models for science
    • Responsible AI: privacy, bias, policy, and safe data sharing

  2. Joint-PhD, Immunology and Nutrition

    University of Wisconsin-Madison

    Revealed immunological mechanisms underpinning dietary prevention of colitis by berry: increassed Treg cells and subtype skewing of Th17 cells.

    Training included:

    • Nutrition, Immunology, Molecular and Cellular Biology, Biochemistry
    • flow cytometry, confocal, qPCR, western-blot, Magnetic assist cell sort, mouse techniques (i.p., i.v., retro-orbital injection, dissection, tissue and immunocyte collection etc.)
    • Modeling redox signaling using differential equations

  3. PhD, Nutrition

    China Agricultural University

    I discovered a procedure to increase antioxidant activity, which has been implemented in industry producing vinegars consumed by more than 0.6 billion of families in China and in U.S. as well.

    Training included:

    • Nutrion, Molecular and Cellular Biology, Microbiology, Biochemistry
    • HPLC-MS, mouse techniques (i.p., i.v., gavage, lavage, dissection, tissue collection etc.), cell culture, CRISPR-cas9 knock out, DNA recombination
    • Teaching Assistant for undergraduate courses, Mentoring junior researchers

  4. BSc, Nutrition & Machine Learning

    Huazhong Agricultural University
    I was trained and selected to represent my university to compete in National Mathematical Contest in Modeling, and ranked 1st Place in National Entrance Examination for Graduate School.
    • Only student to achieve all A grades, including three perfect scores (100%), in mathematics and programming courses including:
      • Advanced Mathematics, Calculus, Linear algebra, Probability and Statistics
      • Object Oriented Programming, Computer Fundamental Experiment
      • Matlab, R, SAS, Statistics and Optimization
    • Recruited and excelled as a varsity team member in a selective training camp on mathematical modeling and programming for machine learning.
Core Values & Interests
Humanities
Identifying True Value

Spot core principles that matter most

Strategic Courage

Steadily pursue enduring outcomes

Principled Action

Translate insight into meaningful impact

Hobbies
Together with Family

Love, empathy, connection, meaning

Bible Reading

Mercy, grace, reflection, inspiration

Hiking

Explore nature with humbleness

Awards
Cancer Survivorship Research Funding (Co-PI)
Dana-Farber Cancer Institute, Harvard Medical School ∙ September 2024
Cancer Survivorship Research Funding (Co-PI)
Dana-Farber Cancer Institute, Harvard Medical School ∙ September 2023
China Scholarship Council Fellowship
China Scholarship Council ∙ December 2016
The High-Level Joint Ph.D. Training Program of the China Scholarship Council (CSC) that awards outstanding doctoral students to pursue joint training at top-tier universities in the United States.
Languages
100%
English
100%
Chinese