Xintao Qiu, PhD
Lead Scientist
I am a computational scientist working on genomics, epigenomics and transcriptomics. I have collaborated with multiple investigators across basic and clinical research to develop and execute innovative research involving ChIP/ATAC-Seq, RNA-Seq and single-cell sequencing data experiments and analyses. I care about reproducible research and open science.
Len Taing
Scientific Programmer
I received my B.A. and M.S. in Computer Science from Harvard and M.A. in Psychological and Brain Sciences from Johns Hopkins. I have been working with the Liu Lab and the Center for Functional Cancer Epigenotics for the last decade, and am instrumental to the development of many computational algorithms, pipelines, and databases.
Yingtian Xie
Bioinformatics analyst II
I received my M.S. in bioinformatics from Northeastern University. As a well-trained researcher with strong expertise in bioinformatics and epigenomics, I have worked with many principal investigators and research groups at DFCI these years to dissect the molecular mechanism of cancers and develop novel cancer therapies. Recently I’m working on single cell ATAC-seq, single cell multi-omics data analysis. I’m interested in applying machine learning in cancer epigenetic studies.
Yijia Jiang
Bioinformatics analyst I
I received my master's degree in biomedical informatics from DBMI program at Harvard Medical School. I previously joined the Liu Lab and worked on bulk and single-cell RNA-seq analysis in a mouse model and tumor samples, focusing on myeloid cells. I now work as a bioinformatics analyst at the Center for Functional Cancer Epigenetics. I have experience in working with single-cell transcriptomics, epigenomics and multiomics studies. My interest lies in applying computational biology tools to investigate molecular alterations in disease mechanisms, and identifying therapeutic targets in precision cancer genomics.
Rong Li
Bioinformatics analyst I
I received my bachelor’s degree in Statistics from Shanghai University of Finance and Economics. I continued pursuing my master’s degree in the same field at Boston University. My main research interest is to apply statistical methods to perform cancer epigenetic analysis. I am recently working on Chip-seq and ATAC-seq.
Ruiyang He
Bioinformatics analyst I
I received my B.A. in natural sciences and M.Sci in systems biology from the University of Cambridge. Previously, I worked on investigating the interactions between mechanical forces and gene expression in embryogenesis by leveraging single-cell spatially resolved transcriptomics in Prof. Dumitrascu’s group at the Cambridge Computer Laboratory (now Columbia University). At CFCE, I aim to leverage my experience with single-cell analysis in developing and applying novel computational methods to dissect mechanisms underlying heterogeneity within tumours and their microenvironment and inform the development of new therapies against cancer.