Luca Pinello, Ph.D. Assistant Professor
Luca is a Principal Investigator at Massachusetts General Hospital and Harvard Medical School. He received his BA, MA and Phd in Computer Science and Mathematics from University of Palermo in Italy. He had the good fortune to be part of the “omics” revolution and the opportunity to work on many computationally-challenging problems since he was an undergraduate student. During his postdoctoral research with Prof. Guo-Cheng Yuan at Dana-Farber Cancer Institute/Harvard School of Public health he studied the role of chromatin structure in gene regulation and developed computational methods for single cell analysis. He has a background in computer science and extensive experience in machine learning, data mining and web technologies. His research program uses computational approaches to systematically analyze the sources of variation that affect gene regulation: epigenetic variation, genetic variation and (single-cell) gene expression variability. In his free time he likes to hike, to cook and roast green coffee and to do photography.
Matthew Canver, Ph.D., Research Fellow
Matthew Canver received his undergraduate degree in Bioengineering from the University of Pennsylvania. He subsequently matriculated into the MD/PhD program at Harvard Medical School. He joined the lab of Dr. Stuart Orkin at Boston Children’s Hospital/Dana Farber Cancer Institute for his PhD work, which focused on applying CRISPR/Cas9 genome editing tools to examine the regulation of fetal hemoglobin expression. He is currently in his final year of the MD/PhD program. He is interested in developing computational tools to assist with the design and analysis of CRISPR genome editing experiments.
Huidong Chen, Visiting Ph.D. student
Huidong is a Ph.D. candidate from Tongji University, Shanghai, China. He received his bachelor degree of computer science from Tongji University. He is co-mentored by Luca and Prof. Guo-Cheng Yuan at Dana-Farber Cancer Institute. Huidong is interested in developing computational methods for single cell analysis in particular to characterize rare subpopulation or to reconstruct and visualize lineage differentiation trajectories from single cell gene expression.
Kendell Clement, Ph.D. Research Fellow
Kendell Clement joined the lab in July 2017 after completing his PhD in the Harvard-MIT Division of Health Sciences and Technology where he studied epigenetics in the contexts of pluripotency, embryonic development, and oncogenesis. He is interested in using computational algorithms to understand and interpret biological data, with particular interest in applications to genome modification and human disease.
Rick Farouni, Ph.D. Research Fellow
Rick joined the lab in June 2017 right after completing his PhD in Quantitative Psychology (i.e. statistics applied to psychological data) at the Ohio State University, where he has also obtained a master’s degree in mathematical statistics. His research has been focused on the application of multivariate statistics, machine learning, and deep learning to epigenomics data in particular, and bioinformatics data, in general. He is mainly interested in doing statistics in the service of science, especially with the goal of understanding the fundamental biological mechanisms underlying gene control. He is dedicated to rigorous science in the public interest and passionate about the open access movement. More about him at http://rfarouni.github.io/
Jonathan Y. Hsu, Ph.D. student
Jonathan is a Ph.D. student in the MIT Biological Engineering department and received his BS in Bioengineering: Biotechnology from UCSD. He is currently co-advised by Professors Luca Pinello, Keith Joung, and Jim Collins and his research interests lie at the intersection of genome editing, epigenome engineering, and computational biology. Outside of research, he enjoys exploring the local Boston restaurant scene and exercising in order to keep in shape for the pipetting and coding he must do to graduate.
Qiuming Yao, Ph.D. Research Fellow
Qiuming Yao joined the lab in September 2017. He received his Ph.D. in Computer Science from University of Missouri, where he also obtained a separate M.A in Statistics. Before he joined lab, he performed a postdoctoral fellowship at Oak Ridge National Lab developing scalable computational tools for analyzing microbial ecosystems by integrating multiple ‘meta-omics’ data sets. His previous Ph.D. work focused on analysis and prediction of protein posttranslational modifications. He has broad interest in designing novel computational methods facilitating bulk or single cell ‘omics’ analyses in natural or engineered biological systems. Qiuming is co-mentored by Daniel Bauer, Ph.D.