Ali Forougi Pour, Ph.D.
Postdoctoral Associate
Applications of mathematical modeling, statistical models, and machine learning to develop predictive models for integrative data analysis.
I mostly work on selection and extraction on biological and morphological features that are indicative of outcomes such as response to treatment, risk of relapse, etc. I am also interested on integrating such features across data types for reliable prediction.
Education and experience
Education
2013-2019
Ph.D. in electrical engineering, The Ohio State Universit
2017-2019
Msc. in mathematics, The Ohio State University
2008-2013
Bsc. in electrical engineering, Sharif University of Technology
Experience
2019-present
Postdoctoral Associate, the Jackson laboratory for genomic medicine
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Featured ArticleMay 04, 2022Putting machine learning to work for cancer patients
A research team at JAX is boosting the speed and accuracy of tumor sample image analysis, for multiple cancer types, offering the potential for more targeted treatment direction without additional testing. -
Press ReleaseSeptember 08, 20202020 JAX Scholar recipients announced
The posdoctorate associate researchers were selected based on their cutting-edge research and exemplifying a well-rounded 21st-century member of the scientific community.
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Featured ArticleDecember 16, 2020Combining a love of science with a passion for impact
JAX postdoctoral researchers utilize The Jackson Laboratory’s unique research environment to pursue their dreams.