Publications:37
Li Shen, PhD
About Me
Dr. Shen joined Mount Sinai in 2009 with a Ph.D. in computer science. He is currently a professor of bioinformatics with dual appointments at the department of Neuroscience and the department of Artificial Intelligence and Human Health. He has made contributions to large-scale sequencing analysis, bioinformatic tools development and machine learning applications to medical imaging and epigenomics. His current research interests include the applications of machine learning in healthcare and genomics. He has more than 100 publications with >12,000 total citations. See his Google scholar page for a full list of his publications. Visit Li Shen's Laboratory of Bioinformatics for more information on his research activities.
Language
Position
Research Topics
Bioinformatics, Biomedical Informatics, Computational Biology, Epigenomics, Image Analysis, Mathematical Modeling of Biomedical Systems, Mathematical and Computational Biology
Multi-Disciplinary Training Areas
Artificial Intelligence and Emerging Technologies in Medicine [AIET], Genetics and Genomic Sciences [GGS], Neuroscience [NEU]
Download the CV
About Me
Dr. Shen joined Mount Sinai in 2009 with a Ph.D. in computer science. He is currently a professor of bioinformatics with dual appointments at the department of Neuroscience and the department of Artificial Intelligence and Human Health. He has made contributions to large-scale sequencing analysis, bioinformatic tools development and machine learning applications to medical imaging and epigenomics. His current research interests include the applications of machine learning in healthcare and genomics. He has more than 100 publications with >12,000 total citations. See his Google scholar page for a full list of his publications. Visit Li Shen's Laboratory of Bioinformatics for more information on his research activities.
Language
Position
Research Topics
Bioinformatics, Biomedical Informatics, Computational Biology, Epigenomics, Image Analysis, Mathematical Modeling of Biomedical Systems, Mathematical and Computational Biology
Multi-Disciplinary Training Areas
Artificial Intelligence and Emerging Technologies in Medicine [AIET], Genetics and Genomic Sciences [GGS], Neuroscience [NEU]
Download the CV