Peter Dong is the Scientific Director of Data Science & AI at Merck, where they integrate multi-omics data and leverage advanced AI technology to enhance target identification and optimize treatment strategies. With over a decade of experience in machine learning, bioinformatics, and multi-omics integration, Peter previously served as a Senior Computational Scientist at Genentech, designing machine learning models and leading data initiatives for biomarker discovery. Their role at Merck since 2015 has involved cross-functional research that accelerates drug discovery and enhances real-world data analysis. Peter is currently pursuing a Master of Science in Bioinformatics from Chapman University.
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