Workshop for Women in Machine Learning

Machine learning is one of the fastest growing areas of computer science research. Search engines, face recognition, DNA sequence analysis, speech and handwriting recognition, credit card fraud detection, premature baby monitoring and autonomous locomotion are just some of the applications in which machine learning is routinely used.

In spite of the wide reach of machine learning and the variety of theory and applications it covers, the percentage of female researchers is lower than in many other areas of computer science. Most women working in machine learning rarely get the chance to interact with other female researchers, making it easy to feel isolated and hard to find role models.

This day-long workshop gives female faculty, research scientists, and graduate students in the machine learning community an opportunity to meet, exchange ideas and learn from each other. Underrepresented minorities and undergraduates interested in machine learning research are encouraged to attend.


The organizers for this year's workshop are Diane Oyen, En-Shiun Annie Lee, and Kate Saenko, . Professor Marie desJardins is the faculty adivsor.

Previous Workshops

This workshop was established by Hanna Wallach, Jenn Wortman and Lisa Wainer, with faculty advisor Amy Greenwald in 2006. Info on the 2006 workshop can be found here.

The organizers of the 2007 workshop were Hila Becker and Bethany Leffler, with faculty advisor Lise Getoor.

The organizers of the 2008 workshop were Luiza Antonie, Anna Koop and Jo-Anne Ting, with faculty advisor Joelle Pineau.

The organizers of the 2009 workshop were Finale Doshi, Inmar Givoni and Farheen Omar. Professor Daphne Koller is the faculty adivsor.