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Phyllis Thangaraj

Resident Physician at Yale New Haven Hospital

Studies computational modeling of biological systems, personalized
medicine, machine learning in bioinformatics.
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Studies computational modeling of biological systems, personalized medicine, machine learning in bioinformatics.

Ph.D. in the lab of Nicholas Tatonetti researching applications of machine learning methods to improve cohort selection from electronic health records and the power of genome-wide association studies.

B.S. in Physics with research experience in bioinformatics, theoretical neuroscience, experimental biophysics, computational analysis in oceanography, tissue engineering.

Coursework in statistical mechanics, biophysics, systems modeling in biology, computer science, differential equations, neurobiology, molecular biology, biochemistry, econometrics and data analysis, and quantum mechanics and computing.

Can program in Python, MySQL, R, Matlab, Mathematica, Fortran, Awk, Java and Scheme, limited C and Perl knowledge. Familiar with Word, Excel, PowerPoint, HTML, Unix and MS Windows.
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C22 The CLinically Explainable Actionable Risk Model

Phyllis Thangaraj
Resident Physician at Yale New Haven Hospital
+ 8 speakers
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Machine Learning for Healthcare
August 8, 2020, Online, Los Angeles, CA, USA
Machine Learning for Healthcare
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C22 The CLinically Explainable Actionable Risk Model

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Ruijun Chen
Assistant Professor in Translational Data Science and Informatics at Geisinger
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Ruijun Chen

Assistant Professor in Translational Data Science and Informatics at Geisinger
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Victor Rodriguez

MD-PhD Student at Columbia University
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Lisa Liu

PhD Candidate at Columbia Department of Biomedical Informatics
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