Dr. UCA Jaleel is a Principal Scientist at the OSPF-NIAS Drug Discovery Lab, NIAS IISc Campus Bangalore. He leads a team of drug discovery researchers who focus on various aspects of cheminformatics, including machine learning and AI-based analysis of neglected tropical diseases like TB, Malaria, and Leishmaniasis. His primary focus is in the application of machine learning and AI models in the medicinal chemistry data sets. He successfully applied ANN based machine learning models on the inconclusive molecules of the beta-lactamase bioassays of Mycobacterium tuberculosis. As a Principal Investigator of the "Cheminformatics for Neglected Diseases Project" for Open Source Drug Discovery CSIR Govt of India, he was instrumental in building as well as managing the crowdsource and machine learning solutions for various issues in the tropical disease research. His major contribution includes the solutions for the issues related with higher dimensional analysis and extractions of principal features of the in silico designing of machine learning models. His work at CSIR OSDD research unit at Indian Institute of science Bangalore could establish the successful modelling of semiconducting properties by machine learning and higher dimensional correlations of various kinds of datasets.
As a big believer of open source, Jaleel supports the crowd and cloud source way of conducting research for early-stage drug discovery. Before joining OSPF in 2015, Jaleel worked for 12 years for a diverse range of organizations, including the Council of Scientific and Industrial Research (CSIR) Open Source Drug Discovery (OSDD) research unit at IISc, Bangalore; and the UGC Centre for Cheminformatics, Malabar Christian College in Calicut, India. In this role, he was responsible for guiding and supervising researchers in cheminformatics.