Welcome to the Welch Lab

Our research aims to address fundamental problems in both biomedical research and computer science by developing new tools tailored to rapidly emerging high-throughput sequencing technologies. Broadly, we seek to understand what genes define the complement of cell types and cell states within healthy tissue, how cells differentiate to their final fates, and how dysregulation of genes within specific cell types contributes to human disease. As computational method developers, we seek to both employ and advance the methods of machine learning, particularly for unsupervised analysis of high-dimensional data.

Most recently, I have focused on developing open-source software for the processing, analysis, and modeling of single-cell sequencing data. Key contributions in this area include LIGER, a general approach for integrating single-cell transcriptomic, epigenomic and spatial transcriptomic data; online iNMF, a scalable and iterative algorithm for single-cell data integration; and MultiVelo, a tool for modeling cell fate transitions from single-cell multi-omic data. I have applied these methods in collaboration with biological scientists to study stem cell differentiation, somatic cell reprogramming, and the mammalian brain.

The Welch Lab has openings for multiple positions, including Postdoctoral Fellow, PhD Student, Bioinformatician, and Software Engineer! (more info)

News

December 3, 2024

Review paper about spatial transcriptomics in neuroscience published in Nature Neuroscience

November 23, 2024

Collaborative paper with Baldwin lab published in JCI Insight

September 20, 2024

Generative AI review paper published in JBMR

September 4, 2024

IGVF consortium roadmap paper is published in Nature

August 15, 2024

Hojae successfully defends her dissertation and earns her PhD in Electrical and Computer Engineering

July 23, 2024

Chan-Zuckerberg Initiative awards a Data Insights grant to Joshua Welch

July 1, 2024

Collaborative paper with Collins lab published in Nature Communications

June 19, 2024

Perspective on AI for algorithmic biology is published in Cell Systems

May 14, 2024

Weizhou passes his PhD qualifying exam and achieves candidacy

... see all News