Dr. Collins Welch

Professor

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Biography

Collins Welch leads the Welch Lab, where the research focuses on addressing fundamental problems at the intersection of biomedical research and computer science. The lab develops sophisticated tools designed for the rapidly evolving landscape of high-throughput sequencing technologies. A significant aspect of their work involves understanding how genes operate to define various cell types and states within healthy tissue. The lab is interested in how the dysregulation of specific genes in distinct cell types can contribute to human diseases. As computational method developers, the team employs advanced machine learning techniques, especially unsupervised analyses of high-dimensional data. Key contributions from the Welch Lab include LIGER, which integrates single-cell transcriptomic, epigenomic, and spatial transcriptomic data; online iNMF, a scalable iterative algorithm for single-cell data integration; and MultiVelo, a tool that models cellular fate transitions using single-cell multi-omic data. Their methods are applied in collaboration with biological scientists to study areas such as stem cell differentiation and somatic cell reprogramming.

Research Interests

Experience

Principal Investigator

— Present

Welch Lab • Ann Arbor, MI

Leading a research lab focused on the intersection of computational biology and biomedical research.

Requirements for University of Michigan

Master Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Total
Required:84
GRE General
Verbal
Required:155
Verbal Percentile
Required:50
Quantitative
Required:168
Quantitative Percentile
Required:50
Analytical Writing
Required:3.6
Writing Percentile
Required:50
Prerequisites
Bachelor degree in engineering, physics, or mathematics Calculus Physics
Application Checklist
  • Rackham Graduate School Application
  • Official Transcripts
  • 3 Letters of Recommendation
  • Academic Statement of Purpose
  • Personal Statement
  • CV/Resume
Specialization Notes

Department of Electrical Engineering and Computer Science