Aidong Zhang
ACM Distinguished Service Award
USA - 2023
citation
For her impactful leadership and lasting service to the broad communities of bioinformatics, computational biology, and data mining
Professor Zhang has had a significant impact on bioinformatics and health informatics through several years of service and leadership. She has been an ACM member for 29 years and is a Fellow of the ACM, IEEE, and the American Institute of Medical and Biomedical Engineering. She has held numerous leadership roles, including editor in chief of journals, steering committees for professional organizations, department chair, and program officer at the NSF.
Professor Zhang played a major role in advancing the fields of data mining, bioinformatics, and computational biology and has had exceptional and long-lasting impact. Professor Zhang's' impactful research is evidenced by the high number of citations. Her work has created novel computational methodologies advancing knowledge and discovery. She has made contributions in various areas such as fusing multimodal data to enable heterogeneous data integration and pattern prediction, mining and constructing large biomedical knowledge graphs from scientific literature, and clustering heterogeneous multi-omics data. Recently, she has made significant contributions in machine learning interpretable models that provide explainable predictions on complex data analysis.
Through her service in the ACM Special Interest Group in Bioinformatics, Computational Biology, and Biomedical Informatics (SIGBIO), she contributed to addressing inequality in the field. She developed programs such as Women in Bioinformatics, the PhD Student Forum, and the Health Informatics symposium to improve diversity, equity, and inclusion in the field.
ACM Fellows
USA - 2017
citation
For contributions to bioinformatics and data mining
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