Swapnil Chavan got his masters in Pharmaco-informatics from NIPER, India, and received his PhD in Computational Chemistry from Linnaeus University, Sweden. Then he went to NCCT (National Center for Computational Toxicology) at US – Environmental Protection Agency for his postdoctoral research where he served as a Unilever postdoc. Swapnil currently works as a senior data scientist in computational toxicology at RISE AB, Sweden.

INTERESTS: He leads innovative research towards developing novel chemical risk-assessment methods using cheminformatics, bioinformatics, image-informatics and machine learning techniques. Currently, he is focusing on integrating explainable AI and uncertainty estimation approaches towards building a comprehensive toxicity prediction tool.