Dr. Sagar Gore

Research Interests 

Sagar Gore joined the UFZ in May 2025 and is part of NFDI4Chem (NFDI4Chem | Chemistry Consortium in the NFDI - NFDI4Chem) consortium which develops research data infrastructure (such as electronic lab notebooks, chemistry repositories, terminology service etc.) for different disciplines within chemistry. Within NFDI4Chem, he represents environmental chemistry discipline from UFZ and collaborates closely with the Research Data Management team at UFZ to accomplish this. He applies FAIR (Findable, Accessible, Interoperable and Reusable) principles to develop metadata standards for environmental chemistry, and for further dissemination of research results. He is also involved in LC-HRMS data curation, annotation and the use of machine learning methods for retention time alignment.
Sagar earned his PhD in Bioinformatics at Friedrich Schiller University Jena, Germany where he developed pattern recognition methods for predicting substrate specificity of adenylation enzymes. His expertise lies in cheminformatics, applying both classical machine learning and advanced deep learning approaches for small molecule property prediction.

GitHub - https://github.com/Sagar-Gore
Orchid - Sagar Gore (0000-0001-9915-7179) - My Orcid

Curriculum Vitae