Jian Ma | |
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马坚 | |
Citizenship | United States |
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Scientific career | |
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Academic advisors | David Haussler (postdoc advisor), Webb Miller (PhD advisor) |
Website | www |
Jian Ma (Chinese: 马坚) is an American computer scientist and computational biologist.[1] He is the Ray and Stephanie Lane Professor of Computational Biology in the School of Computer Science at Carnegie Mellon University.[2][3][4] He is a faculty member in the Ray and Stephanie Lane Computational Biology Department.
His lab develops machine learning algorithms to study the structure and function of the human genome[5] and cellular organization and their implications for health and disease. During his Ph.D. and postdoc training, he developed algorithms to reconstruct the ancestral mammalian genome.[6] His research group has recently pioneered a series of new machine learning methods for 3D genome organization, single-cell epigenomics, spatial omics, and complex molecular interactions. These methods are often pursued through the development of probabilistic models and advanced deep learning techniques, particularly graph-based representation learning, with the aim of driving discovery and guiding experimentation.
He received an NSF CAREER award in 2011.[7] In 2020, he was awarded a Guggenheim Fellowship[8][9][10] in Computer Science. He is an elected Fellow of the American Association for the Advancement of Science[11] and the American Institute for Medical and Biological Engineering.[12] He leads an NIH 4D Nucleome Center to develop machine learning algorithms to better understand the cell nucleus.[5][13] He is the Program Chair for RECOMB 2024.[14]
In 2024, he launched the Center for AI-Driven Biomedical Research (AI4BIO) at CMU, which will be a catalyst for innovations at the intersection of AI and biomedicine across the School of Computer Science and campus.[15][16]