The Azizi Lab utilizes an interdisciplinary approach combining cutting-edge single-cell genomic and imaging technologies with statistical machine learning techniques, to characterize complex populations of interacting cells in the tumor microenvironment as well as their underlying circuitry.
Our lab is primarily affiliated with the Biomedical Engineering Department and the Irving Institute for Cancer Dynamics (IICD) at Columbia University. We are also affiliated with the Computer Science Department, Data Science Institute and the Herbert Irving Comprehensive Cancer Center.
The Azizi Lab utilizes an interdisciplinary approach combining cutting-edge single-cell genomic and imaging technologies with statistical machine learning techniques, to characterize complex populations of interacting cells in the tumor microenvironment as well as their underlying circuitry.
Our lab is primarily affiliated with the Biomedical Engineering Department and the Irving Institute for Cancer Dynamics (IICD) at Columbia University. We are also affiliated with the Computer Science Department, Data Science Institute and the Herbert Irving Comprehensive Cancer Center.
News
2021
- Azizi lab featured in Columbia Engineering Magazine story on AI in Health and Medicine
- Xueer, Joy, Cameron and Lauren's paper accepted at Workshop on Computational Biology at ICML
- Azizi lab selected for funding in the Columbia Research Initiatives in Science & Engineering competition with Dr. Benjamin Izar and Dr. Richard Carvajal
- Yinuo Jin and Alex Toberoff's paper accepted at LMRL Workshop at NeurIPS
- Azizi lab awarded HICCC Intra/InterProgrammatic Pilot grant, with Dr. Ran Reshef
- Azizi lab featured in Columbia Engineering Magazine Faculty Q&A
- Joy Fan receives the Van C. Mow fellowship
- Cameron Park receives the Kaganov fellowship
- Columbia University Herbert Irving Comprehensive Cancer Center features our research
- Columbia University Bio Bytes Podcast chat with Elham Azizi
- Azizi lab awarded Data Science Institute Seed Grant in partnership with IICD, with Dr. Jellert Gaublomme and Dr. Brent Stockwell
recent & upcoming Talks
- University of Washington Machine Learning in Computational Biology Seminar Series, May 2021.
- NYU Biomedical Engineering Colloquium, April 2021.
- ENAR Invited session on Bulk deconvolution and single-cell data analysis, March 2021.
- NYU Pathology Department Research Seminar Series, March 2021.
- Second Annual Symposium on Epigenetics, Immunity and Cancer, January 2020.
- Systems Biology Seminar Series, Boston University, March 2020.
- Annual Engineering in Medicine Symposium, Columbia University, February 2020.
- Inaugural Irving Institute for Cancer Dynamics seminar, Columbia University, November 2019.
- New Investigator Keynote Talk, 12th annual RECOMB/ISCB Conference on Regulatory & Systems Genomics, New York, November 2019.
