Alexandr A. Kalinin
Postdoctoral Associate in Machine Learning for Computational Biology
Broad Institute of MIT and Harvard
Hi, I’m Alexandr Kalinin
I am a Postdoctoral Associate in Machine learning for Computational Biology at the Imaging Plaform of Broad Institute, where I work with Shantanu Singh and Anne Carpenter. I’m interested in developing and applying machine learning methods for studying cellular organization and improving disease diagnosis and treatment.
In 2019-2021, I was an International Postdoctoral Fellow jointly at the Shenzhen Research Institute of Big Data (SRIBD) and the University of Michigan, working with Xiang Wan and Brian Athey. I received my PhD in Bioinformatics from the Department of Computational Medicine and Bioinformatics at the University of Michigan, where I worked with Ivo Dinov and Brian Athey.
- Biomedical Image Analysis
- Machine Learning
- Visual Analytics
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PhD in Bioinformatics, 2018
University of Michigan
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MSc in Applied Math and CS, 2010
Novosibirsk State Technical University (NSTU)
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BSc in Applied Math and CS, 2008
Novosibirsk State Technical University (NSTU)