Minye Zhou
Boston,MA
Summary
A dedicated students with 6 years of training in data analysis and interpretation in the field of cancer biology. Adept using computational genomics and machine learning tools to understand molecular architecture of tumor genomes for better cancer therapies with strong problem-solver, excellent communication, multitasking and organizational abilities.
Overview
3
3
years of professional experience
Work History
Research on Non-coding Mutations
Boston Children's Hospital
07.2023 - Current
- Development of new pipelines on analysis of non-coding mutations in cis-regulatory elements to infer the cancer-specific gene regulations.
- Integration of bulk RNA-seq and ATAC-seq to build network from chromatin accessibility to transcription factors binding and downstream gene expression.
- Testing and modifying new tools.
Research on Precision Diagnostics of Leukemia
J. Craig Venter Institute
05.2021 - 05.2022
- Development of automated diagnosis pipeline to improve the accuracy of leukemia diagnostics by changing the currently adopted subjective and labor-intensive manual gating approach relying on flow cytometry data.
- Experimented multiple ways to improve current pipelines such as parallel generation of UMAPs to feed into machine learning classification to further improve the accuracy.
- Communicated research results through conference presentations, scientific publications and project reports.
Research on Cancer Immunotherapy
Yale University
05.2021 - 09.2021
- Analyzed the potential immunotherapy approach for treating glioblastoma, an aggressive brain cancer that is highly refractory to conventional treatment by using GSK-3beta inhibitors to manipulate macrophage polarization via TLR-3 and TLR-4
- Advancements in literature review skills and cancer immunology knowledge
- Communicated research results through scientific publications and project reports.
Research Associate Intern
Chinese Academy Of Sciences/BGI Group Technology
03.2021 - 07.2021
- Participation in developing and testing pipeline to de novo assemble the stLFR reads
- Literature review on spatial omics and collected relevant information and data for the reference of the working team
- Investigated pipelines that could be used in the spatial omics project for monkey brain
Education
Master of Science - Computational Biology And Quantitative Genetics
Harvard University
Boston, MA05.2024
Bachelor of Science - Bioengineering - Bioinformatics
University of California - San Diego
La Jolla, CA06.2022
Skills
- Programming Skills : R (Advance), Python (Advance), shell/bash scripting (Intermediate)
- Biostatistics: R, Python, Excel
- OS platform: Linux, MacOS, Cluster distributed computing
- Genomics: Bulk-seq analysis(RNA-seq and ATAC-seq), Single-cell omics and integration, GWAS data analysis, GSEA, pathways enrichment and ontology analysis etc (BWA, Bowtie, STAR, Kallisto, Salmon, SAMtools, BAMTools, Deseq2, BEDtool, macs2, Seurat, Scanpy, cellranger, Scenicplus etc)
- FlowCytometry: Cytometry data analysis and visualization(UMAP, t-SNE, opt-SNE, FlowSOM)
- Machine learning and biostatistics: Feature selection, ML model building and optimization, regression and classification model (R, R-CART, regression, bayesian, python-sklearn etc)
Accomplishments
- Excellence Award in 2022 Southern California Flow Cytometry Association Summit
Languages
English
Full Professional
Timeline
Research on Non-coding Mutations
Boston Children's Hospital
07.2023 - Current
Research on Precision Diagnostics of Leukemia
J. Craig Venter Institute
05.2021 - 05.2022
Research on Cancer Immunotherapy
Yale University
05.2021 - 09.2021
Research Associate Intern
Chinese Academy Of Sciences/BGI Group Technology
03.2021 - 07.2021
Master of Science - Computational Biology And Quantitative Genetics
Harvard University
Bachelor of Science - Bioengineering - Bioinformatics
University of California - San Diego