Darvin Yi is a Ph.D. student in biomedical informatics at Stanford University. He received an A.B. in physics at Princeton University, and he's interested in the union of low-bias computer vision methods and radiology. Like the other moths attracted to the hype flame, he is one of many students working on deep learning. Darvin's current projects involve studying the limitations of deep learning in radiology, using neural networks to visualize features on data, and trying to survive in the over-priced Bay Area.