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Tao Huang
Life Sciences
University of Chinese Academy of Sciences
Shanghai
Language: Chinese, English
Computational Biology
Machine Learning
Biomedical Big Data
Network Analysis
Gene Ontology
Protein Interaction
Epigenetics
Precision Medicine
Multi-Omics
Deep Learning
Areas of Focus
- Computational Biology
- Machine Learning in Biomedical Big Data
Work Experience
- 2022-11~Present - Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences - Researcher
- 2014-11~2022-11 - Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences - Associate Researcher
- 2012-08~2014-08 - Icahn School of Medicine at Mount Sinai, USA - Postdoctoral Researcher
- 2007-09~2012-07 - Shanghai Institute for Biological Sciences, Chinese Academy of Sciences - PhD Student
- 2003-09~2007-07 - Huazhong University of Science and Technology - Bachelor Student
Academic Background & Achievements
- 2007-09--2012-07 PhD: Shanghai Institute for Biological Sciences, Chinese Academy of Sciences
- 2003-09--2007-07 Bachelor: Huazhong University of Science and Technology
Publications
- Analyzing domain features of small proteins using a machine-learning method, Tao Huang, 2024
- Integrating multi-omics data of childhood asthma using a deep association model, Tao Huang, 2024
- Identification of key genes associated with persistent immune changes and secondary immune activation responses induced by influenza vaccination after COVID-19 recovery by machine learning methods, Tao Huang, 2024
- Identification of Protein-Protein Interaction Associated Functions Based on Gene Ontology, Tao Huang, 2024
- Investigate the Epigenetic Connections of Obesity Between Mother and Child With Machine Learning Methods, Tao Huang, 2023
- Seq-RBPPred: Predicting RNA-Binding Proteins from Sequence, Tao Huang, 2023
- Anomaly Detection Models for SARS-CoV-2 Surveillance Based on Genome k-mers, Tao Huang, 2023
- Analysis and prediction of protein stability based on interaction network, gene ontology, and KEGG pathway enrichment scores, Tao Huang, 2023
- A cell marker-based clustering strategy (cmCluster) for precise cell type identification of scRNA-seq data, Tao Huang, 2022
- Comparative analysis of NovaSeq 6000 and MGISEQ 2000 single-cell RNA sequencing data, Tao Huang, 2022
- Computational Systems Biology: Methods and Protocols, Tao Huang, 2018
- Precision Medicine, Tao Huang, 2020
- Liquid Biopsies: Methods and Protocols, Tao Huang, 2023
- Epigenetics - Regulation and New Perspectives, Tao Huang, 2023
Awards
- 2023: Highly Cited Chinese Researchers, Elsevier
- 2023: Research.com Best Biology and Biochemistry Scientists in China, 328th
- 2022: Research.com Best Biology and Biochemistry Scientists in China, 350th
- 2022: Highly Cited Chinese Researchers, Elsevier
- 2022: World’s Top 2% Scientists, Stanford University
- 2021: Highly Cited Chinese Researchers, Elsevier
- 2021: World’s Top 2% Scientists, Stanford University
- 2020: The Top 25 Voices in Precision Medicine Asia
- 2020: Highly Cited Chinese Researchers, Elsevier
- 2020: World’s Top 2% Scientists, Stanford University
- 2019: Big Data Research Top Cited Articles Award Winner
