Short Bio

I have been a member of technical staff at Bell Laboratories since January 2011, after obtaining my PhD in computer science at the Courant Institute of Mathematical Sciences at New York University. My machine learning thesis's subject was "Time Series Modeling with Hidden Variables and Gradient-Based Methods", and my advisor was Prof. Yann LeCun. Prior to my PhD studies, I graduated in 2002 with a Master's degree in computer science from Ecole Nationale Supérieure ENSEEIHT in Toulouse, France and worked as a research engineer in geology at Schlumberger Research (2002-2005); I have also interned at the NYU Medical Center (investigating epileptic seizure prediction from EEG), at Google, at the Quantitative Analytics department of Standard & Poor's and at AT&T Labs Research.

My current research focuses on machine learning methods for statistical language modeling and text categorization with applications to sentiment analysis, on computer vision and simultaneous localization and mapping for autonomous robotic navigation, as well as on radio fingerprinting for indoor positioning.

My Web Site Or LinkedIn Profile

http://ect.bell-labs.com/who/piotr

Field of Expertise

Analytics, BI, Big Data, Data Science

Professional Status

Technical

Years of Experience:

10

Your Company:

Bell Labs

Industry:

Telecommunications

Interests:

Networking