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Postdoctoral Researcher
About Me
I'm a postdoctoral research assistant working on machine learning in the Department of Statistics at the University of Oxford, where I am fortunate to be supervised by Tom Rainforth. Previously, I completed my PhD in the Department of Computer Science with Padhraic Smyth at the University of California, Irvine.
Research Interests
I am broadly interested in problems in the intersection of applied mathematics and probabilistic machine learning, as well as applications in scientific machine learning. Some of my previous work ranges from function-space generative modeling and optimal transport to applications in climate science.
Contact Details
Email: gavin.kerrigan@stats.ox.ac.uk
Office: 1.17
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Breadcrumb
Professor of Statistical Genetics
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Breadcrumb
Senior Postdoctoral Research Associate
About Me
For the most up-to-date information, best to visit: https://alonalj.github.io/
I am broadly interested in theory-driven deep learning applications.
Most recently, I have been working on generative models and I'm currently focused on two main research directions that fall under this category: (1) exploring generative models for their own sake; (2) applying generative models in the context of health-care for better decision-making. Both are a continuation of my research prior to joining Oxford.
I completed my PhD at the Faculty of Computer Science at the Technion focused on deep learning and statistical methods for high-resolution medical images and molecular measurements. I then worked as a postdoctoral research assistant where I found myself drawn towards generative models due their strong theoretical backing and developed a new class of generative models -- Generative Topological Networks -- which I will continue to explore alongside other generative methods.
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