Adji Bousso Dieng
Department of Statistics
Columbia University
1255 Amsterdam Avenue
New York, NY 10027

I am a Ph.D student in the department of Statistics at Columbia University where I am jointly being advised by David Blei and John Paisley.

I am interested in using Statistics and Machine Learning tools to build flexible models for high dimensional data and to derive generic and scalable algorithms for inferring the hidden quantities described by these models. In that regard I research the following topics:

Machine Learning, Bayesian Methods, Probabilistic Graphical Modeling, and Scalable Approximate Inference (Variational Inference in particular).

Prior to joining Columbia I worked as a Junior Professional Associate at the World Bank's Chief Risk Office Department where I developed various risk models, automated existing models and created an add-in for efficient reporting.

I hold a Diplome d'Ingenieur from Telecom ParisTech (France's "Grandes Ecoles"). I spent the third year of Telecom ParisTech's curriculum at Cornell University where I earned a Master in Statistics.

I have completed some research projects and interned in few places. See my [Curriculum Vitae] for details.

In my spare time I like acting and photography.