200 S.W. Mudd Mail Code: 4701
New York, NY 10027
Phone: not available
I currently develop mathematical models using methods in machine learning and statistics for Conde Nast focusing on The New Yorker. These models are used to inform business decisions, primarily to maximize retention/acquisition, and personalize content. I was drawn to the power of machine learning during my postdoc by it's deep mathematical sophistication and incredible power.
I'm also an adjunct professor of data science at Columbia University, where I"m teaching a course on using data science in industry.
I completed my PhDs at the Courant Institute (NYU) and UPMC (Paris VI) and worked full time as a research-only fellow and instructor of mathematics at DPMMS at the University of Cambridge. I have worked in Germany, France, England and the USA over the past several years while completing my degrees and have gained considerable experience in variational methods, differential equations and applied analysis.