CV
General Information
| Full Name | Yu S. Huang/黄宇 |
| Languages | Chinese, English |
Experience
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2022 - Senior Director of Bioinformatics
Genecast Biotechnology Corp Ltd, Shanghai/Beijing/Wuxi, China -
2015 - (on leave) Professor/Principal Investigator, Director of Bioinformatics
Shanghai Institute of Materia Medica), Chinese Academy of Sciences 中科院 -
2014-2015 Bioinformatics Scientist
Illumina Inc., San Diego, California, USA
Education
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2010 PhD in Computational Biology and Bioinformatics
University of Southern California, Los Angeles, USA -
2003 B.S. in Biology
Fudan University, Shanghai, China
Open Source Projects
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2017-now Accucopy
- A computational method that infers Allele-specific Copy Number alterations from low-coverage low-purity tumor sequencing Data.
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2021-now eGADA
- enhanced GADA: a fast segmentation algorithm utilizing the Sparse Bayesian Learning (or Relevance Vector Machine). It can be applied to array intensity data, NGS sequencing data, or any sequential data that displays characteristics of stepwise functions. Enhancements include: 1) a customized Red-Black tree to significantly expedite the final backward elimination step; 2) coded in C++, which is better structured than C; 3) export eGADA.so, a Python API.
Honors and Awards
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2016 - China Thousand-Talent Program
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2015 - Hundred-Talent Program of Chinese Academy of Sciences
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2003-2008 - Merit Award Fellowship, University of Southern California.
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2022 - Third Award, Computer Programming Contest, Fudan University.
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1999-2003 - People's Scholarship, Fudan University.
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1998 - Third Award, National High School Mathematics Competition of China.
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1996 - Third Award, Junior High School Physics Competition, Shanghai.
Expertise & Skills
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Modelling & Algorithm
- Statistical Learning, Machine/Deep Learning, Optimization
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Programming
- Rust, Python, C++, Julia, GO, R, Java, C#, Parallel Computing, Database
Hobbies
- Surf, Snowboard, Swim, Reading