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Natalija works with a global cross-functional team on applying a variety of digital solutions and methods towards Sanofi Pasteur’s mission: a world where no one suffers of dies from a vaccine-preventable disease. She has extensive experience in delivering a wide-range of digital solutions at AIG, a global insurer, and as VP of Innovation at Brown Brothers Harriman, a global commercial bank. Previously, Natalija was at McKinsey, the strategy consulting firm, and has worked on photonic automotive and aerospace power solutions at MIT.
The pharmaceutical industry is applying a data science approach combined with active machine learning in various areas which include the integration of experimental work and computational modeling, automation, big data analytics, and informatics. This session will focus on pharma preparations and applications of AI and Machine Learning across drug discovery and development. Various examples will demonstrate how pharma is harnessing the opportunity of large data sets to predict and improve translation of preclinical findings to the specific human disease conditions to be evaluated in clinical studies.