Nathan has 18 years of experience in technology overall 13 years of experience in machine learning and data science at places like Microsoft and JP Morgan. At Microsoft, he increased the revenue of Bing by $100 MM (A/B tested), and also applied earlier deep learning language models on question answering scenarios. At JP Morgan, he designed and implemented a model which beat Bloomberg's and others.
Your human brain is able to look at recent events (such as your date initiating holding your hand), to predict the probability of a future event (like a well-received first kiss). In the same way we can build digital brains that look at recent events in a variety of domains, assisting humans to make better decisions by helping them understand the probabilities of outcomes given their actions.
