Lucas Schiffer is a Senior Scientist at Tempus AI, where expertise in generative artificial intelligence has been applied to enhance scientific productivity through retrieval-augmented generation techniques and the development of a user-friendly API. Prior to this role, Lucas served as a Postdoctoral Fellow at Rutgers New Jersey Medical School, focusing on deep learning models for tuberculosis diagnosis and federated machine learning for collaborative research. Experience as a Research Assistant at Boston University School of Medicine involved developing a data structure for multimodal sequencing and conducting metabolomics analysis related to immuno-oncology therapy. Earlier research at CUNY Graduate School of Public Health and Health Policy included a multiomics analysis of ovarian cancer and improvements in data accessibility. Educational qualifications include a PhD in Bioinformatics from Boston University and an MPH in Epidemiology/Biostatistics from The City University of New York.
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