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In the Brain Tumor Computational Laboratory, we will establish computational and machine learning algorithms, along with experimental protocols, to study the tumor growth and diffusion in glioblastoma patients under brachytherapy. Our objective is to provide accurate, patient-specific estimates of tumor progression, aiding physicians and oncologists in optimizing treatment more effectively. These computational tools can be further developed to simulate tumor progression under various treatment modalities, offering a versatile platform that could inspire the development of novel treatment strategies for glioblastoma and other cancers.
 

Principal Investigator: Jay Hou, PhD

Assistant Professor (Research Scientist) of Neurosurgery at Brown University
Director, Brain Tumor Computational Laboratory
Chieh_hou@brown.edu
CV, google scholar

Collaborator: Clark Chen, MD, PhD

Looking for students!!

Looking for Master and undergraduate students majoring in bioinformatics, data science, biology, bioengineering, mechanical engineering, biophysics. Please email Chieh_hou@brown.edu to discuss the projects.

Lab News!!

 

2025.July

Lab outing! We had a great dinner Track 15, Providence, RI!

 

2025.April

Julien Song ’26 (Biology – Biomedical Informatics) was awarded with Summer Advanced Undergraduate Research Fellowship!!

2024.Dec

Alexa Torres ’26 (Computational Biology, Candidate Health and Human Biology) received SPRINT|UTRA Award in spring 2025!

2024.Nov

We got the first place award in Brown University Health’s 31st Annual Research Day !!

Hou J, McMahon M, Wu Y-F-Y, Clark Chen, David Odde (2024) Glioblastoma patient cell migration predicts time to tumor recurrence. Brown University Health’s 31st Annual Research Day, Providence, Rhode Island

 

 

2024.Nov

We published the first paper since Aug 2024!

Cell migration simulator-based biomarkers for glioblastoma