Matt Malloy

Prior to my work at Dewpoint, I worked at Prime Medicine, Inc. and Janssen R&D. At Janssen, I worked as a principal imaging scientist within the Oncology Data Sciences group. My work was part of a collaborative effort to identify ways in which advances in deep learning can be combined with oncology-related medical imaging data of all types. This involved working with our own internal computer vision capabilities as well as collaborating with external partners in order to make progress toward our goal of helping patients. Prior to working at Janssen, I was the senior machine learning scientist at Neon Therapeutics (now part of BioNTech) where we utilized concepts from deep learning to guide the design of our neoantigen-based, personalized cancer treatments. As part of this effort, I worked on the CNN-based HLA-II binding predictor, neonmch2 (https://www.sciencedirect.com/science/article/abs/pii/S1074761319303632). In 2015, I completed my Ph.D., working in theoretical astrophysics and cosmology. My research focused on understanding the state of the Universe when it was less than 10% of its current age, coinciding with the formation of the first galaxies. Toward this end, I developed methods of analyzing complementary data sets in order to gain additional insight on how and when this process occurred.