that brought me to Prescient Design in Genentech was the hope of building things that are actually used in the laboratory to make real things,” Nathan recalls. “I think that’s a sentiment shared by many of our scientists and engineers. For this process to work, you need all the machine learning and biology domain knowledge and great engineering. You really need all of those things together.” At his lab, Nathan tells us he does not spend much time working on research papers. Instead, he is learning about and contributing to drug discovery. “Writing papers is a byproduct of solving problems,” he points out. “When we solve real problems and have something interesting to say to the community, that’s when we write something.” Looking ahead, he hints at ongoing collaborations and upcoming projects within and outside Prescient building on this work, including the Generative and Experimental Perspectives for Biomolecular Design (GEM) workshop that just took place at ICLR. “Stay tuned for much, much more work!” he reveals. “People familiar with computer vision and natural language, your skills and the things you’re interested in can be very impactful in these other domains in the sciences if you take the time to dedicate yourself to learning from people and learning those areas.” If, after reading this, you think you have what it takes to join Genentech, you will be pleased to hear that it is hiring. You, too, could be advancing the frontiers of science very soon! Genentech sees itself as the first biotechnology company going back many decades and is now trying to be the first machine learning-based drug discovery company! “It’s a reinvention of a company that has had massive success in drug discovery,” Nathan adds. “We want to continue leading on that front over the next many decades.” 11 Computer Vision News Computer Vision News Protein Discovery with Discrete … “When we solve real problems and have something interesting to say to the community, that’s when we write something!”
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