About Daniel Ramirez
Daniel Ramirez is a Data Engineering Fellow with a PhD in Computational Biology and Bioinformatics, known for his work in integrating AI with bioinformatics to enhance protein structure analysis.
Known information
Daniel Ramirez holds the position of Data Engineering Fellow and has earned a PhD in Computational Biology and Bioinformatics from George Mason University. His research has significantly contributed to the field by developing methods that utilize protein structure dynamics to predict the phenotypic outcomes of genomic mutations. Ramirez has extensive experience in integrating artificial intelligence into bioinformatic processes and protein structure analysis, which he has applied across various biotechnological applications. Currently, he contributes to the development of the ROSALYND platform at 1910 Genetics, furthering advancements in 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.