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Jonathan Deiloff
Data Engineering Fellow
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1910 Genetics
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About Jonathan Deiloff
Jonathan Deiloff is a Data Engineering Fellow at 1910 Genetics, known for his expertise in computational biology and bioinformatics.
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Jonathan Deiloff holds a PhD in Computational Biology and Bioinformatics from George Mason University. His research has focused on developing methods to utilize protein structure dynamics to predict the phenotypic outcomes of genomic mutations. Throughout his career, Deiloff has continued to enhance his experience by integrating artificial intelligence into bioinformatic analyses and protein structure studies, particularly within various biotechnological applications. Currently, he contributes to the development of the ROSALYND platform at 1910 Genetics, further advancing the field of computational biology.
About 1910 Genetics
1910 Genetics, based in Cambridge, MA, integrates AI with proprietary data to advance drug discovery in neurological, autoimmune diseases, and cancer, aiming to make undruggable targets obsolete.
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