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Sameer Rawat is a skilled cheminformatician currently employed at Parabilis Medicines, where responsibilities include advancing MPO and optimal design for stapled peptides in a preclinical context, focusing on inhibitors, degraders, and radioligands. Previously, Sameer held the position of Machine Learning Scientist at Citadel Discovery, applying machine learning to pharmaceutical datasets for hit finding. Also notable is Sameer's tenure at Totus Medicines as the first Machine Learning Scientist, where significant contributions to the development of a machine learning platform for QSAR of DNA-encoded libraries were made. Technical expertise encompasses advanced machine learning architectures and statistical methodologies, while leadership roles include conducting technical interviews and serving as a liaison for industry-academic partnerships. Sameer's educational background includes a Bachelor of Science in Mathematics from UC San Diego and a Master of Science in Computational Science from USI Università della Svizzera italiana.