Author

Justin Dean

Dana-Farber Cancer Institute

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Christopher J. GraseriD· 1 shared Cindy Lin· 1 shared David KozonoiD· 1 shared Franziska Michor AiD· 1 shared G. F. MoorheadiD· 1 shared Galit LahaviD· 1 shared Jamie DeaniD· 1 shared Manuel SchürchiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Christopher J. GraserORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Mechanistic modeling and machine learning identifies optimum radiotherapy schedules to prevent treatment-induced metastasis

Christopher J. Graser, Zhi Zhou, Manuel Schürch, G. F. Moorhead, Justin Dean, Cindy Lin, Jamie Dean, David Kozono, Galit Lahav, Franziska Michor A

The paper identifies optimal radiotherapy schedules to reduce metastasis by combining mechanistic modeling and machine learning with in silico clinical trials.

bioRxiv · Jul 2, 2025 · PreprintBioinformatics