Wei Li

Portrait of Wei Li

Wei Li

Institute for Health Computing Associate Professor
wli2@som.umaryland.edu 6116 Executive Blvd Suite 200, North Bethesda, Md 20852 LinkedIn

As a computational biologist, the goal of my research laboratory is to understand human genome functions with innovative AI, gene editing, and genomics technologies. I was trained as a computer scientist (bachelor's, master's, Ph.D.), but I built my unique career to become a computational biologist. I developed a series of influential algorithms for gene expression analysis, functional genomics screening, and single-cell perturbation analysis. These analysis methods have been widely used in the community. Working with experimental and clinical scientists, we (1) developed novel computational methods to design CRISPR systems with high efficiency and specificity, (2) pioneered the field to use paired-guide RNAs for screening non-coding RNAs and enhancers, and (3) identified clinically relevant hits and synergistic targets in various disease settings, including breast cancer, prostate cancer, brain tumor, and HIV.

Latest Papers

An integrated multi-omics and network analysis of neutrophil differentiation from initial- to late-stage

| Genome Biology
Author(s): Qing Chen, Tianchang Yang, Yingping Hou, et. al
UMD Author(s): Wei Li


Decoding heterogeneous single-cell perturbation responses

| Nature Cell Biology
Author(s): Song B, Liu D, Dai W, et. al
UMD Author(s): Wei Li


Nuclear to cytoplasmic transport is a druggable dependency in MYC-driven hepatocellular carcinoma

| Nature Communications
Author(s): Anja Deutzmann, Delaney K. Sullivan, Renumathy Dhanasekaran, et. al
UMD Author(s): Wei Li


Factoring single-cell perturbations

| Nature methods
Author(s): Bicna Song, Wei Li
UMD Author(s): Wei Li


Intrinsic targeting of host RNA by Cas13 constrains its utility.

| Nature Biomedical Engineering
Author(s): Li Z, Li Z, Cheng X, et. al
UMD Author(s): Wei Li


Modeling CRISPR-Cas13d on-target and off-target effects using machine learning approaches.

| Nature Communications
Author(s): Cheng X, Li Z, Shan R, et. al
UMD Author(s): Wei Li


A genome-wide CRISPR screen identifies WDFY3 as a regulator of macrophage efferocytosis.

| Nature Communications
Author(s): Shi J, Wu X, Wang Z, et. al
UMD Author(s): Wei Li


Genome-wide CRISPR screens identify combinations of candidate latency reversing agents for targeting the latent HIV-1 reservoir

| Science Translational Medicine
Author(s): Weiwei Dai, Fengting Wu, Natalie McMyn, et. al
UMD Author(s): Wei Li


HiCAR is a robust and sensitive method to analyze open-chromatin-associated genome organization

| Molecular Cell
Author(s): Xiaolin Wei, Yu Xiang, Derek T. Peters, et. al
UMD Author(s): Wei Li


High-content CRISPR screening.

| Nature reviews. Methods primers
Author(s): Bock C, Datlinger P, Chardon F, et. al
UMD Author(s): Wei Li


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