The Aran Lab integrates multidimensional biomedical data — including genomics and clinical data — to advance precision medicine and improve therapeutic strategies.
The core themes of the lab are:
The lab is affiliated with the Faculties of Biology and Computer Science and the Lorry I. Lokey Interdisciplinary Center for Life Sciences and Engineering at the Technion - Israel Institute of Technology, Haifa, Israel.
[29/06/21] The first Digital Medicine Conference in Israel organised by Anthem Israel and chaired by the Dvir and Ron Shamir was held in Tel-Aviv.
[15/04/21] News & Views on extracting insights from heterogeneous tissues published in Nature Computer Science
[01/04/21] Welcome Ortal and Mahmoud on joining the lab as Master’s students.
The lab focuses on the discovery of predictive biomarkers, improving existing treatments, and developing novel therapeutic strategies. The lab will develop novel computational and experimental cancer immunology methodologies for characterizing the interactions of the tumor and its microenvironment, and specifically focus on the mechanisms enabling immune resistance. By incorporating publicly available datasets with self-generated data, from bulk and single-cell profiling of multiple ‘omics’ types, mass spectrometry cytometry, immune repertoires, and other cutting-edge technologies, we will adequately portray the cellular dynamics of cancer initiation, progression, and response to treatment. The lab branches to both basic and clinical research, and collaborates with computer scientists, bioengineers, basic experimental researchers and clinicians.
Here are some representative tools developed before the inception of the lab.
Always looking for talented and curious candidates at the postdoctoral, predoctoral, and undergraduate levels.
The lab is opening in the summer of 2020 and is seeking highly motivated students to develop and study novel approaches in translational bioinformatics, or the application of analytic and interpretive methods to optimize the transformation of genome-scale data of many types into proactive, predictive, preventative, and participatory health.
To apply, please send your CV and research interests to firstname.lastname@example.org.
We are looking for fully-funded postdoctoral researcher to work on some exciting projects. Candidates are expected to have a track record of bioinformatics and or clinical informatics analysis.
There is also an option of co-advising postdoctoral researchers with other computational or experimental labs. An example might be an experimental postdoc with their own biological question for which there are no current analysis tools.
If interested, please send the following to email@example.com: