Alek Kolcz

Alek Kolcz is an esteemed professional with profound expertise in Machine Learning, Data Mining, and Information Retrieval. His research primarily focuses on areas such as adversarial classification (e.g., spam filtering), text classification, feature selection, content-based personalization, and ensemble models. More details about his work can be found at his website: http://cs.georgetown.edu/~kolcz/

Alek Kolcz's educational journey includes a Master Of Engineering in Electronics from Lodz University Of Technology, a Doctor Of Philosophy in Electronics from The University Of Manchester, and a Master Of Science in Electronics from University Of York.

Throughout his career, Alek Kolcz has held key positions at reputable organizations, including Chief Scientist at Pushd, Senior Staff Data Scientist at Twitter, Staff Data Scientist at Twitter, Software Engineer at Twitter, Principal Scientist at Microsoft, Co-Chair at Cikm, Scientist at Microsoft, and System Architect at Aol.