About
Chengsheng Mao serves as a Research Assistant Professor in the Department of Preventive Medicine at Northwestern University's Feinberg School of Medicine, specializing in data mining and machine learning applications across medical informatics, computer vision, and natural language processing.
His educational background includes:
- BS from Huazhong University of Science and Technology (2008)
- PhD from Lanzhou University (2016)
Dr. Mao's research integrates computational methods with clinical domains including medical imaging, bioinformatics, and sepsis analysis. His work leverages big data frameworks to develop predictive models for disease progression and treatment response, with particular emphasis on translational applications in radiology, CAT scan analysis, and X-ray diagnostics. This interdisciplinary approach bridges computer science and clinical medicine to address complex healthcare challenges.
Recent publications reveal a strong focus on applying tensor factorization to cancer mortality prediction, spatial transcriptomics for drug discovery, and immune signature analysis in transplantation contexts. His work demonstrates consistent innovation in adapting machine learning techniques to Alzheimer's disease treatment and SARS-CoV-2 research, highlighting cross-disciplinary impact across neuroscience, oncology, and immunology.
Scientific Awards:
- No scientific awards mentioned in the provided text
Advising and Grants: While no formal advisees are listed, Dr. Mao's active research output suggests ongoing grant-supported work through institutional affiliations. His involvement with NUCATS and the Institute for Augmented Intelligence in Medicine indicates access to translational research funding mechanisms focused on clinical data science applications.
Labs and Teams: Dr. Mao contributes to the Computational & Social Sciences in Health (COMPASS) initiative and Collaborative AI in Healthcare group, while maintaining core membership in Computational Imaging and Signal Analytics in Medicine, Deep Phenotyping and Precision Therapeutics, and Medical Education in Data Science and Digital Health programs. These affiliations position him at the intersection of AI development and clinical implementation within Northwestern's medical ecosystem.
