The Computational Imaging and Bioinformatics Laboratory (CIBL) is part of Dana-Farber Cancer Institute, Brigham and Women’s Hospital, and Harvard Medical School (Radiation Oncology & Radiology). This data science laboratory is focussed on the development and application of novel Artificial Intelligence (AI) approaches to various types of data, in specific from imaging and genomic data. The lab’s research is highly oriented towards real world translation of these findings into clinical diagnostic and therapeutic tools to help improve the lives of patients.
Dana-Farber Cancer Institute, Brigham and Women’s Hospital, and Harvard Medical School are located at the heart of Boston’s Longwood Medical Area, which also includes the Beth Israel Deaconess Medical Center, Children’s Hospital Boston, Joslin Diabetes Center, Mass. College of Pharmacy and Health Sciences, Harvard School of Dentistry, and Harvard School of Public Health. This rich working environment provides ample opportunities for collaboration and scientific exchange within the Harvard and MIT community of clinical, genomics, imaging, computational biology, and machine learning groups.
There are currently positions available in the lab for PhD Students and Postdoctoral Fellows in Computational Imaging & Computational Biology. Therefore, we are looking for outstanding (biomedical) engineers, in specific with training in Artificial Intelligence and Deep learning. Please apply by sending a resume to Dr. Hugo Aerts.
Lab members have published in journals such as Nature, Nature Communications, eLIFE, JAMA Oncology, Cancer Research, and Nature Reviews Clinical Oncology. Please find an overview of CIBL publications on the publications page.