MITxHarvard Women in AI

About Us

We are a club of MIT and Harvard students who are interested in artificial intelligence and machine learning. Beginners and interested individuals with any level of knowledge are welcome! We use an inclusive definition of the word women, and the purpose of the Women in Artificial Intelligence group is to provide a supportive community for cisgender women, transgender women, genderqueer women and individuals, and non-binary individuals pursuing studies or research in AI and machine learning at MIT and Harvard. We are structured formally as a reading group, meeting every other week to discuss papers of interest related to artificial intelligence and machine learning. Additionally, we endeavor to serve as an organizing body to get more women involved in AI and ML, working with MIT and Harvard faculty to host more female speakers for machine intelligence-related seminars.

Accessibility

Make machine learning and artificial intelligence more accessible, especially for those who are underrepresented in the field.

Support

Create an environment safe from judgment, hostility, and competition.

Education

Learn more about ML and AI ourselves as well as educate others, especially beginners, by providing helpful resources and role models in the field.

Interviews

Interviews with outstanding women in the field.

Professor Anima Anandkumar

Professor Melanie Mitchell

Dr. Danielle Belgrave

Professor Marinka Zitnik

Dr. Una-May O'Reilly

Dr. Jessica Hamrick

Professor Leslie Kaelbling

Professor Chelsea Finn

Professor Angjoo Kanazawa

Resources

A collection of our favorite resources.

Courses

Andrew Ng Deep Learning Videos: Youtube.
Intro ML at MIT: MIT Open Course Ware.
Intro AI at MIT: MIT Open Course Ware and Youtube.
Deep Learning Monthlong Course: Youtube.
Math for Machine Learning

Technical videos from Mathematical Monk about ML: Youtube.
Learn linear algebra with 3blue1brown on Youtube.
Learn matrix methods with MIT’s Gil Strang.
Learn basic probability with Mr. Nystrom.
Learn advanced probability with Mathematical Monk.
Other Resources

Deep Learning by Goodfellow et al: free book available at deeplearningbook.org.
Practice data science problems on Kaggle.
Read ML-related articles on Distill.
Tell us your favorite resources!

Members

Meet our leadership and other amazing members!

Katie Collins

Co-President and Founder, she/her/hers

Megan Wei

Co-President and Treasurer, she/her/hers

Jacqueline Valeri

Co-President and Chief Technology Officer, she/her/hers

Gaby Ecanow

she/her/hers

Michelle Li

she/her/hers

Fatima Gunter-Rahman

she/her/hers

Lindsey McAllister

Kate Pearce

Summer Vo

she/her/hers

Diana Faust

Kat Wicks