Xindi Zhang
Ph.D. Candidate
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolXindi Zhang is a Ph.D. candidate in Molecular Genetics at the University of Toronto with nine years of experience blending computational biology, bioinformatics, and machine learning to tackle genomic problems. She develops deep learning models that use somatic mutation profiles from liquid biopsy whole-genome data to predict cancer types, and rigorously evaluates performance with R and Python in clinical research settings. Her background includes GWAS and enrichment analyses at the University of Chicago, end-to-end project leadership on pharmacogenomic toxicity studies, and hands-on teaching mentoring students in computational workflows. Beyond model building, she brings practical experience designing analysis pipelines on HPC, translating results for geneticists and clinicians, and exploring career paths across consulting, medical science liaison, and education.
9 years of coding experience
1 year of employment as a software developer
Computational Biology Track of Molecular Genetics, Computational Biology Track of Molecular Genetics at University of TorontoMaster's degree, Biomedical Informatics, Master's degree, Biomedical Informatics at University of Chicago
English, Chinese
Github Skills (22)
sequential9
logic8
abc8
verification7
formal-verification6
coq6
synthesis6
modulo5
eda5
derived4
floating3
interval-arithmetic3
bit3
solver3
combinations3
Programming languages (2)
Github contributions (5)
dezhangxd/dezhangxd.github.io
Oct 2021 - Apr 2024
Contributions:38 pushes in 2 years 6 months
shaowei-cai-group/relaxed-sat
Mar 2021 - Jul 2021
Contributions:4 commits in 4 months
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