Dewey Kim

Dewey Kim is a Computational Biologist at the Broad Institute of MIT and Harvard. Here's a comprehensive overview of his professional background:

Education and Early Career

Dewey Kim holds a Ph.D., which he earned as a graduate student at Johns Hopkins University School of Medicine from June 2008 to November 2012.1 During his time at Johns Hopkins, he was part of the Department of Biomedical Engineering.1

Current Position

Currently, Dewey Kim serves as a Computational Biologist at the Broad Institute, located in Cambridge, Massachusetts.2 The Broad Institute is a renowned research organization focused on advancing our understanding of biology and improving human health through genomics and other cutting-edge approaches.

Research and Expertise

As a Computational Biologist, Dewey Kim specializes in analyzing complex biological data. His work likely involves:

• Developing and implementing algorithms for genomic data analysis
• Applying computational methods to biological problems
• Contributing to research projects in areas such as genetics, genomics, and bioinformatics

Research Contributions

Dewey Kim has made several research contributions in his field:

• He has 4 research works listed on ResearchGate, which have received 19 citations.4
• One of his notable works is titled "A Genomic Score to Predict Local Control among Patients with Brain Metastases Managed with Radiation Therapy".4

Professional Network

Dewey Kim maintains a professional presence on LinkedIn, where his profile indicates he has:

• 149 followers
• 144 connections2

His LinkedIn profile can be found under the username dewey-kim-a722b644.

Contact Information

For professional inquiries, Dewey Kim can be reached at:

• Email: Likely ending in @broadinstitute.org
• Phone: The Broad Institute's main number is (617) 714-70003
• Address: 415 Main St, Cambridge, Massachusetts, 02142, United States3

Dewey Kim's career trajectory from his Ph.D. studies at Johns Hopkins to his current role at the Broad Institute demonstrates his commitment to advancing the field of computational biology and contributing to cutting-edge research in genomics and related areas.