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I have extensive experience analyzing scientific problems and devising adaptable solutions using informatics technologies. I have designed, developed, and supervised the construction of diverse informatics systems for industry, clinical medicine and the biosciences. I have played central, guiding role in a wide range of projects focused on the issues of clinical trials applications, data integration, and creation of flexible application architectures, mobile solutions, and Internet evolvable systems. These include devising and building: a) the EAV/CR data storage approach for the Human Brain Project, in use in the SenseLab Project, b) the Query Integrator System: a prototype ontology-mediated federated database integration approach, c) the DISCO federated data integration framework for the NIH Neuroscience blue print initiative, d) a phone-base reinforcement platform to increase medication adherence, and e) a mobile survey system for pain evaluation for VA patients. I have significantly been involved in several collaborative projects including: a) the TrialDB clinical trials management system (joined copyright holder), b) the VACS calculator, and c) The TRIS system, a generic Internet-driven worldwide SMS mobile application framework to design, and conduct ecological momentary assessments.

\",\"photo\":null,\"gallery\":null,\"organizations\":[{\"id\":109561,\"name\":\"Center for Medical Informatics\",\"url\":\"https://medicine.yale.edu/ycmi/\"},{\"id\":114820,\"name\":\"Office of Cooperative Research\",\"url\":\"http://ocr.yale.edu/\"},{\"id\":110762,\"name\":\"Yale University\",\"url\":\"https://www.yale.edu/\"}],\"appointmentOrganizations\":[],\"educations\":[{\"degree\":\"MD\",\"institution\":\"University of Cartagena School of Medicine (1990)\"},{\"degree\":\"Fellowship\",\"institution\":\"Yale University\"}],\"honors\":[{\"award\":\"Nomination for Best Theoretical Paper Award for \\\"Neuronal database integration: The SenseLab EAV data model\\\"\",\"awardingOrganization\":\"American Medical Informatics Association\",\"date\":\"1999\"}],\"services\":[],\"activities\":[]},\"researchTab\":{\"research\":{\"description\":\"

1. Evolvable database and application development. The evolving nature of neuroscience domain knowledge impacts traditional programming and database techniques. As a consequence, many applications built over years have become obsolete. To overcome this problem, I developed a data storage and application approach that is driven by metadata. This approach has helped the SenseLab project (including a suite of databases and applications) to evolve over more than 15 years.

2. Semantically mediated data integration. Federated data integration is a difficult task, partly due to a large amount of unstructured data, lack of metadata, and missing relationships. The Query Integrator System (QIS) was designed to overcome these problems. Portions of the QIS approach were later adopted by the Neuroscience Information Framework (NIF) to develop DISCO that supports integrative Web-based information dissemination.

3. Extensible federated data discovery, registration and interoperation: The DISCO application framework was created for the Neuroscience Information Framework that was funded as part of the NIH Neuroscience Blueprint. DISCO has been used to interoperate with data from over 250 heterogeneous databases containing more than a billion records and several terabytes of dense not indexed data. All information extracted by DISCO has been made available to NIF and SciCrunch.org to build aggregated data silos for specific scientific communities. DISCO also provides brokerage Pubmed LinkOut data from those databases; to both the US and Europe Entrez Websites. DISCO controls all the data ingestion and publication process to other components of the NIF infrastructure.

4. Clinical applications: for research, improving therapeutic adherence and mobile patient engagement. Metadata driven interfaces are important to build clinical trial applications. I contributed on the development of our Clinical Trials management system (TrialDB) database design, input programming interfaces, ad-hoc queries and reporting. As consultant and CIO of Medincentive, I helped designing and implementing Web database - IVR systems to improve patient therapeutic adherence. I also play a consulting role for the Yale Emergency department. I have designed and built the TRIS application that is a Web distributed system for creating EMA protocols in a centralized server to control any worldwide distributed client SMS server to interact with local patients via SMS carrier. The system was initially tested in New Zealand.

\",\"summary\":\"

Evolvable database and application development.
Semantically mediated data integration.
Extensible federated data discovery, registration and interoperation.
Clinical applications: for research, improving\\ntherapeutic adherence and mobile patient engagement.

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Database : The Journal Of Biological Databases And Curation 2016, 2016.\",\"year\":2016,\"link\":{\"url\":\"https://www.ncbi.nlm.nih.gov/pubmed/27694208\",\"text\":\"ORDB, HORDE, ODORactor and other on-line knowledge resources of olfactory receptor-odorant interactions.\"}},{\"title\":\"Extending the NIF DISCO framework to automate complex workflow: coordinating the harvest and integration of data from diverse neuroscience information resources.\",\"citation\":\"Marenco LN, Wang R, Bandrowski AE, Grethe JS, Shepherd GM, Miller PL. Extending the NIF DISCO framework to automate complex workflow: coordinating the harvest and integration of data from diverse neuroscience information resources. Frontiers In Neuroinformatics 2014, 8:58.\",\"year\":2014,\"link\":{\"url\":\"https://www.ncbi.nlm.nih.gov/pubmed/25018728\",\"text\":\"Extending the NIF DISCO framework to automate complex workflow: coordinating the harvest and integration of data from diverse neuroscience information resources.\"}},{\"title\":\"The NIF DISCO Framework: facilitating automated integration of neuroscience content on the web.\",\"citation\":\"Marenco L, Wang R, Shepherd GM, Miller PL. The NIF DISCO Framework: facilitating automated integration of neuroscience content on the web. Neuroinformatics 2010, 8:101-12.\",\"year\":2010,\"link\":{\"url\":\"https://www.ncbi.nlm.nih.gov/pubmed/20387131\",\"text\":\"The NIF DISCO Framework: facilitating automated integration of neuroscience content on the web.\"}},{\"title\":\"Implementing description-logic rules for SNOMED-CT attributes through a table-driven approach.\",\"citation\":\"Nadkarni PM, Marenco LA. Implementing description-logic rules for SNOMED-CT attributes through a table-driven approach. Journal Of The American Medical Informatics Association : JAMIA 2010, 17:182-4.\",\"year\":2010,\"link\":{\"url\":\"https://www.ncbi.nlm.nih.gov/pubmed/20190061\",\"text\":\"Implementing description-logic rules for SNOMED-CT attributes through a table-driven approach.\"}},{\"title\":\"Automated database mediation using ontological metadata mappings.\",\"citation\":\"Marenco L, Wang R, Nadkarni P. Automated database mediation using ontological metadata mappings. Journal Of The American Medical Informatics Association : JAMIA 2009, 16:723-37.\",\"year\":2009,\"link\":{\"url\":\"https://www.ncbi.nlm.nih.gov/pubmed/19567801\",\"text\":\"Automated database mediation using ontological metadata mappings.\"}},{\"title\":\"An intermittent reinforcement platform to increase adherence to medications\",\"citation\":\"Kalayoglu MV, Reppucci M, Blaschke T, Marenco LN, Singer MS. An intermittent reinforcement platform to increase adherence to medications. American Journal of Pharmacy Benefits. 1(2):91-94, 2009\",\"year\":2009,\"link\":null},{\"title\":\"The NIF LinkOut broker: a web resource to facilitate federated data integration using NCBI identifiers.\",\"citation\":\"Marenco L, Ascoli GA, Martone ME, Shepherd GM, Miller PL. The NIF LinkOut broker: a web resource to facilitate federated data integration using NCBI identifiers. Neuroinformatics 2008, 6:219-27.\",\"year\":2008,\"link\":{\"url\":\"https://www.ncbi.nlm.nih.gov/pubmed/18975149\",\"text\":\"The NIF LinkOut broker: a web resource to facilitate federated data integration using NCBI identifiers.\"}},{\"title\":\"Database architectures for neuroscience applications.\",\"citation\":\"Nadkarni P, Marenco L. Database architectures for neuroscience applications. Methods In Molecular Biology (Clifton, N.J.) 2007, 401:37-52.\",\"year\":2007,\"link\":{\"url\":\"https://www.ncbi.nlm.nih.gov/pubmed/18368359\",\"text\":\"Database architectures for neuroscience applications.\"}},{\"title\":\"Dynamic tables: an architecture for managing evolving, heterogeneous biomedical data in relational database management systems.\",\"citation\":\"Corwin J, Silberschatz A, Miller PL, Marenco L. Dynamic tables: an architecture for managing evolving, heterogeneous biomedical data in relational database management systems. Journal Of The American Medical Informatics Association : JAMIA 2007, 14:86-93.\",\"year\":2007,\"link\":{\"url\":\"https://www.ncbi.nlm.nih.gov/pubmed/17068350\",\"text\":\"Dynamic tables: an architecture for managing evolving, heterogeneous biomedical data in relational database management systems.\"}},{\"title\":\"QIS: A framework for biomedical database federation.\",\"citation\":\"Marenco L, Wang TY, Shepherd G, Miller PL, Nadkarni P. QIS: A framework for biomedical database federation. Journal Of The American Medical Informatics Association : JAMIA 2004, 11:523-34.\",\"year\":2004,\"link\":{\"url\":\"https://www.ncbi.nlm.nih.gov/pubmed/15298995\",\"text\":\"QIS: A framework for biomedical database federation.\"}},{\"title\":\"Achieving evolvable Web-database bioscience applications using the EAV/CR framework: recent advances.\",\"citation\":\"Marenco L, Tosches N, Crasto C, Shepherd G, Miller PL, Nadkarni PM. Achieving evolvable Web-database bioscience applications using the EAV/CR framework: recent advances. Journal Of The American Medical Informatics Association : JAMIA 2003, 10:444-53.\",\"year\":2003,\"link\":{\"url\":\"https://www.ncbi.nlm.nih.gov/pubmed/12807806\",\"text\":\"Achieving evolvable Web-database bioscience applications using the EAV/CR framework: recent advances.\"}},{\"title\":\"WebEAV: automatic metadata-driven generation of web interfaces to entity-attribute-value databases.\",\"citation\":\"Nadkarni PM, Brandt CM, Marenco L. WebEAV: automatic metadata-driven generation of web interfaces to entity-attribute-value databases. Journal Of The American Medical Informatics Association : JAMIA 2000, 7:343-56.\",\"year\":2000,\"link\":{\"url\":\"https://www.ncbi.nlm.nih.gov/pubmed/10887163\",\"text\":\"WebEAV: automatic metadata-driven generation of web interfaces to entity-attribute-value databases.\"}},{\"title\":\"Organization of heterogeneous scientific data using the EAV/CR representation.\",\"citation\":\"Nadkarni PM, Marenco L, Chen R, Skoufos E, Shepherd G, Miller P. 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