معرفی
Michael Beer is a Professor of Biomedical Engineering and Genetic Medicine at Johns Hopkins University, affiliated with the McKusick-Nathans Institute of Genetic Medicine and the Department of Biomedical Engineering. His research focuses on computational regulatory genomics, leveraging AI/ML to decode DNA sequence-based gene regulation and its role in development and disease. He holds a PhD from Princeton University and has received awards including the Searle Scholars Award and the Simon Ramo Award.
Education:
- PhD in Astrophysical Sciences, Princeton University, 1995
- MA in Astrophysical Sciences, Princeton University, 1991
- BSE in Engineering, University of Michigan, 1989
Research Interests: Beer's lab develops computational models to understand enhancer activity, CRISPR-based perturbation, and gene regulatory networks in cancer and disease. They use functional genomics data (ATAC-seq, ChIP-seq, Hi-C) to study regulatory mutations and therapeutic strategies.
Key Contributions: Pioneered methods like gkm-SVM for regulatory variant prediction and led ENCODE Consortium efforts. His work bridges machine learning and genomics to model dynamic regulatory networks.
Awards:
- Simon Ramo Award (Thesis in Plasma Physics)
- DOE Fusion Energy Postdoctoral Fellowship
- National Science Foundation Graduate Fellowship
- Searle Scholars Award
- Johns Hopkins Teaching Excellence Award
Lab & Collaborations: Located in the McKusick-Nathans Institute, the lab collaborates with the Ph.D. program in Human Genetics and Genomics. Recent projects include CRISPRi screens and ENCODE grant-funded research on regulatory elements.
