Mengting Gu
Staff Research Scientist
Research Areas: Deep Learning, Natural Language Processing, Sequencing Data Analysis, and Algorithms

Dr. Mengting Gu joined Visa Research as a Staff Research Scientist in June 2019, after she received her M.S. in Computer Science, and Ph.D. in Computational Biology and Bioinformatics from Yale University. Her Ph.D. thesis was on developing a convolution-based method to identify functional elements in the human genome.
As a member of the Fraud Detection team, her research interests are in algorithms, deep learning, natural language processing and sequence data analysis. She has published more than a dozen papers in multiple journals, including Science, Annual Reviews, Genome Biology, and others.
Conferences
- Moro, A., Driscoll, T. P., Boraas, L. C., Armero, W., Kasper, D. M., Baeyens, N., … Nicoli, S. (2019). MicroRNA-dependent regulation of biomechanical genes establishes tissue stiffness homeostasis. Nature Cell Biology, 21(3), 348–358.
- Ho, E. Y.-K., Cao, Q., Gu, M., Chan, R. W.-L., Wu, Q., Gerstein, M., & Yip, K. Y. (2019). Shaping the nebulous enhancer in the era of high-throughput assays and genome editing. Briefings in Bioinformatics.
- Navarro, F. C. P., Mohsen, H., Yan, C., Li, S., Gu, M., Meyerson, W., & Gerstein, M. (2019). Genomics and data science: an application within an umbrella. Genome Biology, 20(1).
- Zhang, J., Lee, D., Dhiman, V., Jiang, P., Xu, J., McGillivray, P., … Gerstein, M. (2019). An integrative ENCODE resource for cancer genomics. bioRxiv.
- Xiang, R., Hayes, B. J., Vander Jagt, C. J., MacLeod, I. M., Khansefid, M., Bowman, P. J., … Goddard, M. E. (2018). Genome variants associated with RNA splicing variations in bovine are extensively shared between tissues. BMC Genomics, 19(1).
- Gandal, M. J., Zhang, P., Hadjimichael, E., Walker, R. L., Chen, C., Liu, S., … Geschwind, D. H. (2018). Transcriptome-wide Isoform-level Dysregulation in ASD, Schizophrenia, and Bipolar Disorder. Science, 362(6420).
- Wang, D., Liu, S., Warrell, J., Won, H., Shi, X., Navarro, F. C. P., … Gerstein, M. B. (2018). Comprehensive functional genomic resource and integrative model for the human brain. Science, 362(6420).
- Amiri, A., Coppola, G., Scuderi, S., Wu, F., Roychowdhury, T., Liu, F., … Vaccarino, F. M. (2018). Transcriptome and epigenome landscape of human cortical development modeled in organoids. Science (New York, N.Y.), 362(6420).
- McGillivray, P., Clarke, D., Meyerson, W., Zhang, J., Lee, D., Gu, M., … Gerstein, M. (2018). Network analysis as a grand unifier in biomedical data science. Annual Reviews, 1, 153-180.
- Sethi, A., Gu, M., Gumusgoz, E., Chan, L., Yan, K.-K., Rozowsky, J., … Gerstein, M. (2018). A cross-organism framework for supervised enhancer prediction with epigenetic pattern recognition and targeted validation. bioRxiv.
- Li, M., Santpere, G., Imamura Kawasawa, Y., Evgrafov, O. V., Gulden, F. O., Pochareddy, S., … Sestan, N. (2018). Integrative functional genomic analysis of human brain development and neuropsychiatric risks. Science, 362(6420).
- Kasper, D. M., Moro, A., Ristori, E., Narayanan, A., Hill-Teran, G., Fleming, E., … Nicoli, S. (2017). MicroRNAs Establish Uniform Traits during the Architecture of Vertebrate Embryos. Developmental Cell, 40(6).
- Despic, V., Dejung, M., Gu, M., Krishnan, J., Zhang, J., Herzel, L., … Neugenauer, K. M. (2017). Dynamic RNA-protein interactions underlie the zebrafish maternal-to-zygotic transition. Genome Research, 27(7), 1184-1194.