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Xianjun Dong, PhD

The Hub is led by Xianjun Dong, an Assistant Professor in the Department of Neurology at Harvard Medical School, Director of Computational Neuroscience Unit of the Precision Neurology Program at Brigham and Women’s Hospital, an Affiliated Faculty member of the HMS Initiative for RNA Medicine, and the Director of the Hub. He is interested in developing and applying computational methods to understand the transcriptional regulation of the human genome, by integrating genomic, transcriptomic, epigenetic, and clinical data from both healthy subjects and patients with neurological diseases. He is particularly interested in the non-coding RNAs (eRNA, circRNA, miRNA, etc.) in the brain. He has expertise in analyzing various NGS data, incl. ChIPseq, RNAseq, RNA-PET, CAGE, and WGS data.

Dr. Dong received his Ph.D. degree in Bioinformatics at the University of Bergen (supervisor: Boris Lenhard) and a Postdoctoral fellowship in Bioinformatics and Integrative Biology at the University of Massachusetts Medical School (supervisor: Zhiping Weng). He was an active member of the ENCODE consortium. He has 20+ publications with 12,000+ citations and an H-index of 21. He is recently awarded by the American Parkinson Disease Association (APDA).

Alexander Lukyanov, PhD

Alexander Lukyanov will join the Hub full time in September as a Research Scientist in bioinformatics. He has double Ph.D. degrees in Applied Mathematics and Applied Physics. Before joining the Hub, Dr. Lukyanov was a Research Fellow at Marc Kirschner’s Lab, Department of Systems Biology, Harvard Medical School, where he developed simulation and machine learning tools for multidisciplinary problems in computational biology, bioinformatics, and computational drug design. His current scientific interests focus on the development of cross-functional bioinformatics, data analysis tools, and applied system pharmacology methods to enable the evolving science within the single-cell analysis.

Dr. Lukyanov has extensive experience over 10 years in developing commercial multiphysics simulators with the focus on linear and non-linear solvers, linear algebra, machine learning, and numerical methods for ordinary and partial differential equations. He is the author of over 75 (in Russian and English) publications in the field.

Xiaoqi "Ava" Li

Xiaoqi Li is a short-term Research Assistant in the Hub. She received bachelor’s degrees in applied mathematics and computer science from the University of Wisconsin-Madison in 2020. Xiaoqi is interested in solving biomedical problems using her skillsets in computer science and mathematics. She led the development of R shiny application for power analysis ( and now participated in two exciting projects in COVID-19 genomics and PD brain imaging.

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