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Wesley Maddox
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Wesley Maddox
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Wesley Maddox Wesley Maddox Github LinkedIn Google Scholar I’m currently a quantitative researcher at Jump Trading. I completed a PhD in Data Science at New York University , working under Andrew Wilson . I’m interested in probabilistic machine learning, bayesian deep learning, Gaussian processes, Bayesian optimization, and generative models. More specifically, I’ve worked on methods to incorporate, use, and deploy uncertainty in machine learning models such as neural networks. My PhD was partially supported as a NSF Graduate Research Fellow, received in 2017. See Publications for what I’ve worked on in the past, Preprints for what I’m currently working on, Talks for slides of my talks, and my resume (out of date) resume (see also my academic CV ). Feel free to drop me an email if you’re interested in chatting about any of these topics (or more). My email is wjm363 at nyu dot edu . In summer 2021, I interned (remotely) at Facebook Core Data Science, mentore...
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