Cto
Current-Designed and implemented high throughput algorithms to reliably extract citations from unstructured text-Developed highly efficient and fast named entity extraction techniques-Developed an author disambiguation algorithm to disambiguate authors within PubMed with a high precision and recall.-Developed highly scalable clustering method based on spectral clustering to enable clustering millions of publications, grants, clinical, and patents based on their document embeddingDeveloped a publication co-citation clustering method that allows areas of science to be extracted -from a web of over 750 million citations across 25 million publications-Supported and enhanced NLP algorithms to link NIH grants with publications and patents.-Tuned search relevancy algorithms to ensure optimal results within NIH wide search tool-Implemented secure single sign-on for web applications using NIH SAML-Supported and maintained dozens of servers in a secure and highly available virtual private cloud in Amazon EC-2-Supported MongoDB replica sets and Lucene based search (Zulia) indexes with terabytes of data and hundreds of millions of records-Maintained and expanded Zulia and MongoDB based data warehouse including Grants, Publications, Clinical Trials, Patents and Drugs.