Dixian Zhu
Postdoctoral Fellow at Stanford University
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolDixian Zhu is a postdoctoral fellow in Palo Alto with a decade of experience applying robust machine learning, bioinformatics, and algorithm design to real-world scientific problems. Trained with a PhD and MSc in Computer Science from the University of Iowa and a B.Eng. in Bioinformatics, Dixian combines deep theoretical rigor (3.8/4 PhD) with practical impact from internships at AWS and NEC Labs. His work bridges academic research and industry-scale applied science, evidenced by multiple summer roles at AWS and current research at Stanford. Known for designing robust algorithms for noisy biological data, he brings an uncommon dual fluency in computational theory and biological domain knowledge.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Engineering (B.Eng.), Bioinformatics, 91.25/100, Bachelor of Engineering (B.Eng.), Bioinformatics, 91.25/100 at Harbin Institute of TechnologyDoctor of Philosophy - PhD, Computer Science, 3.8/4, Doctor of Philosophy - PhD, Computer Science, 3.8/4 at University of Iowa
Github Skills (10)
genome8
contrastive-learning8
bioinformatics6
genomics6
self-supervised-learning6
sequence6
optimization5
machine-learning4
deep-learning4
pytorch4
Programming languages (2)
Github contributions (5)
DixianZhu/deBWT
Sep 2015 - May 2016
Contributions:46 commits, 22 PRs, 36 pushes in 7 months
sequencegenomesimilarbwtdna
DixianZhu/RZSG
Apr 2019 - May 2023
Contributions:7 pushes, 1 branch in 4 years 1 month
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