Deepak Unni
Profile
12 years of cumulative experience in developing and maintaining tools for facilitating biological and biomedical research. Currently working as a Scientific Coordinator at the Swiss Personalized Health Network at SIB Swiss Institute of Bioinformatics, with a keen interest in biological data modeling, knowledge representation, contributing to open-source tools, writing ETL pipelines, leveraging ontologies for data integration, and building knowledge graphs.
Technical Skills
Languages
Graph Databases
Semantic Web
Virtualization
Experience
Aug 2022 – Present
Basel, Switzerland
Scientific Coordinator
SIB Swiss Institute of BioinformaticsSwiss Personalized Health Network
A national initiative under the leadership of the Swiss Academy of Medical Sciences. In collaboration with SIB, the SPHN contributes to the development, implementation, and validation of coordinated data infrastructures to make health-relevant data available, interoperable, and shareable for research in Switzerland.
- ·Interfacing with stakeholders to capture semantics and represent them in RDF
- ·Leading the adoption of semantic web technologies for data modeling, knowledge representation, and validation of health-related data
- ·Supporting the development and maintenance of tools for data providers and researchers
- ·Building and deploying and end to end platform for making SPHN-specific datasets discoverable
Apr 2021 – Jul 2022
Heidelberg, Germany
Software Developer
European Molecular Biology LaboratoryGerman Human Genome-Phenome Archive
- ·Worked with the Architecture Working Group to establish the GHGA platform using existing frameworks and well-established standards
- ·Led the Metadata Task Force to build, curate, and maintain the GHGA Metadata Schema
Feb 2018 – Mar 2021
Berkeley, CA, USA
Staff Software Developer
Lawrence Berkeley National LaboratoryMonarch Initiative
- ·Worked with the API development team to build and improve the Monarch API
- ·Worked closely with the UI development team to improve the Monarch UI
- ·Worked with the data ingest team to investigate new strategies for building and improving the integrated Monarch knowledge graph
Gene Ontology
- ·Worked with developers to extend the scope and functionality of the GO API
- ·Worked with scientists and developers to utilize next generation GO annotations to represent biological systems
Biomedical Data Translator
- ·Worked with collaborators to define standards for representing biological and biomedical data as knowledge graphs
- ·Worked with team members to model different types of biomedical data and coordinated ETL efforts across the project
- ·Developed tools for exchange of data between heterogeneous knowledge graph initiatives
KG-COVID-19
- ·Built a flexible ETL pipeline for generating a knowledge graph with an emphasis on COVID-19 datasets
- ·Assisted in setup of RDF and Neo4j endpoints for the COVID-19 knowledge graph
- ·Engaged with researchers on prioritization of potential therapeutic targets for COVID-19
- ·Integration of the COVID-19 knowledge graph in the National COVID Cohort Collaborative (N3C) and the COVID-19 International Research Team (COV-IRT)
Feb 2014 – Feb 2018
Columbia, MO, USA
Research Analyst
University of Missouri
- ·Development and maintenance of Apollo, a collaborative genome annotation editing tool
- ·Implementation and maintenance of tools for the Bovine Genome Database and Hymenoptera Genome Database
- ·Implementation, deployment and maintenance of a data warehouse for Bovine genomics (BovineMine), Hymenoptera genomics (HymenopteraMine), and Maize genetics (MaizeMine)
Aug 2013 – Dec 2013
Atlanta, GA, USA
Graduate Research Assistant
Georgia Institute of Technology
Jun 2013 – Aug 2013
NY, USA
Bioinformatics Intern
Regeneron Pharmaceuticals
Jan 2013 – May 2013
Atlanta, GA, USA
Graduate Research Assistant
Georgia Institute of Technology
Education
2012 – 2013
MS Bioinformatics
Georgia Institute of Technology, USA
2007 – 2011
B. Tech Bioinformatics
Dr. D. Y. Patil Vidyapeeth, Pune, India
Publications
2025
Moxon S. A. T. et al
LinkML: An Open Data Modeling FrameworkVasilevsky, N. A. et al
Mondo: integrating disease terminology across communities2024
Callahan, T. J. et al
An open source knowledge graph ecosystem for the life sciences2023
SIB Swiss Institute of Bioinformatics RDF Group Members
The SIB Swiss Institute of Bioinformatics Semantic Web of dataCaufield, J. H. et al
KG-Hub—building and exchanging biological knowledge graphsTouré, V. et al
FAIRification of health-related data using semantic web technologies in the Swiss Personalized Health NetworkScientific Data, 10, 127
2022
Hoyt, C. T. et al
Unifying the identification of biomedical entities with the BioregistryScientific Data, 9, 714
Unni D. R., Moxon S. A. T. et al
Biolink Model: A universal schema for knowledge graphs in clinical, biomedical, and translational scienceClinical and Translational Science, 15(8), 1848–1855
2021
The Gene Ontology Consortium
The Gene Ontology resource: enriching a GOld mineNucleic Acids Research, 49(D1), D325–D334
Reese, J. T. et al
KG-COVID-19: A Framework to Produce Customized Knowledge Graphs for COVID-19 ResponsePatterns, 2(1), 100155
2020
Haendel, M. A., Chute, C. G. et al
The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deploymentJournal of the American Medical Informatics Association, 28(3), 427–443
2019
Shefchek, K. A. et al
The Monarch Initiative in 2019: an integrative data and analytic platform connecting phenotypes to genotypes across speciesNucleic Acids Research, 48(D1), D704–D715
2018
Biomedical Data Translator Consortium
Toward A Universal Biomedical Data TranslatorClinical and Translational Science, 12(2), 86–90
Biomedical Data Translator Consortium
The Biomedical Data Translator Program: Conception, Culture, and CommunityClinical and Translational Science, 12(2), 91–94
2015
Elsik, C. G. et al
Hymenoptera Genome Database: integrating genome annotations in HymenopteraMineNucleic Acids Research, 44(D1), D793–D800
Elsik, C. G. et al
Bovine Genome Database: new tools for gleaning function from the Bos taurus genomeNucleic Acids Research, 44(D1), D834–D839