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Michael Beer, PhD

Michael Beer
Research Interests: Computational regulatory genomics
Lab Website: Beer Lab
Contact
Miller Research Building 467
Research Interests

Research Interests

The ultimate goal of our research is to understand how gene regulatory information is encoded in genomic DNA sequence and how genetic regulatory networks control cell fate decisions in development and disease.  AI and machine learning have enabled rapid progress unravelling how DNA sequence features specify cell-type specific mammalian enhancer activity using kmer-based SVM and DNN algorithms.

Beer’s work uses functional genomics ATAC-seq, DNase-seq, ChIP-seq, RNA-seq, and chromatin state data to computationally identify combinations of transcription factor binding sites which operate to define the activity of cell-type specific enhancers and their activation of target genes. Current focus is on:

  • improving AI/ML methods to build more accurate models of enhancer activity
  • predicting the impact of mutations on enhancer activity and disease impact
  • using AI/ML models to build and test dynamic gene regulatory networks with targeted CRISPR perturbation
  • using large scale datasets (ENCODE/IGVF) and CRISPR to constrain models of enhancer-promoter interactions and DNA looping mechanisms
  • using this sequence based regulatory code to understand mechanisms of gene regulatory network disruption in cancer and develop therapeutic strategies

Dr. Beer’s lab is located in the McKusick-Nathans Institute for Genetic Medicine, and the Department of Biomedical Engineering, which has long been a leader in the development of rigorous quantitative modeling of biological systems, and is a natural home for graduate studies in bioinformatics and computational biology at Johns Hopkins, including research in genomics, systems biology, machine learning, and dynamic gene regulatory network modeling.

Titles & Affiliations

Titles

  • Professor, Biomedical Engineering
  • Professor, Genetic Medicine
  • Professor, Oncology

Affiliated Centers & Institutes

Education

Education

  • PhD, Princeton University, 1995
  • MA, Princeton University, 1991
  • BSE, University of Michigan, 1989
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