Description: Gonzalo E. Mena's' website
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I am a Florence Nightingale Bicentennial Fellow and Tutor in Computational Statistics and Machine Learning at the University of Oxford. Prior to that, I was a Data Science Initiative Postdoctoral Fellow at Harvard University, working in the lab of Pierre Jacob . Previously, I did my PhD in Statistics at Columbia University mentored by Liam Paninski . I am originally from Santiago, Chile. There, I obtained by B.Sc. in Mathematical Engineering at Universidad de Chile .
I develop robust, efficient and theoretically sound statistical methodology for tackling challenging and pressing problems in life sciences involving data. My experience comes from neuroscience and epidemiology, where datasets are of two extreme types. In neuroscience they are the output of cutting-edge technologies (e.g. a new microscope), where I develop methods to crack these datasets, i.e. to extract the relevant signals at scale and reasonable time, accelerating scientific discovery. At the other extre
I am an Assistant Professor in the Department of Statistics and Data Science at Carnegie Mellon University .