Originally published in KDnuggets, March 2019.
For today’s leading deep learning methods and technology, attend the conference and training workshops at Deep Learning World Las Vegas, June 16-20, 2019.
In honor of International Women’s Day on March 8, we bring you the profiles of 19 inspiring women in AI, Big Data, Data Science, and Machine Learning. The number of women in this field has been relatively low, but I believe that AI and Machine Learning can only benefit from increasing diversity and participation of women.
I hope that the examples of the amazing women below will continue to inspire more women to join this field.
Check also our 2018 post 18 Inspiring Women In AI, Big Data, Data Science, Machine Learning. That post was quite popular, but we received many comments about other inspiring women not included in that list.
So here is a brand new 2019 list of more amazing women in this field.
Libby Duane Adams, the Chief Customer Officer and founding partner of Alteryx, which provides an end-to-end analytics platform that is revolutionizing analytics across the enterprise for analysts and data scientists alike.
Anima Anandkumar, @AnimaAnandkumar, Director of research at NVIDIA and Bren Professor at Caltech. Until recently, she was a principal scientist at Amazon Web Service, where she has enabled machine learning on the cloud infrastructure. She has is a leading researcher in tensor-algebraic methods, non-convex optimization, probabilistic models and deep learning.
Anna Anisin, @annaontheweb, is the Founder of Formulated.by; Community Entrepreneur; Contributor to Forbes; organizer of Data Science Salon series of conferences and was Named Tech Industry Insider by CNN.
Cynthia Breazeal, Founder & Chief Scientist, Jibo; Assoc. Professor of Media Arts and Sciences, MIT Media Lab; She is a pioneer of Social Robotics and Human Robot Interaction. She authored the book Designing Sociable Robots, and she has published over 100 peer-reviewed articles on AI, Robots, Human Robot Interaction, and related topics.
Joy Buolamwini, @jovialjoy, is a poet of code who uses art and research to illuminate the social implications of AI. She founded the Algorithmic Justice League to fight the harmful bias in AI. At the MIT Media Lab, she pioneered techniques that are now leading to increased transparency in the use of facial analysis technology globally. She was on Forbes 30 under 30 & Top 50 Women in Tech.
Kate Crawford, @katecrawford, is a leading researcher, professor and author who has spent the last decade studying the social implications of data systems, machine learning and AI. She co-founded AI Now Institute at NYU, and is a Principal Researcher MSR-NYC and Distinguished Research Professor at NYU.
Sanja Fidler is an Assistant Professor at U. of Toronto, and a Director of AI at NVIDIA. Her research interests are 2D and 3D object detection, particularly scalable multi-class detection, object segmentation and image labeling, and (3D) scene understanding. She was awarded Canada CIFAR AI Chair in 2018.
Fosca Giannotti, is a director of research of computer science at the Information Science and Technology Institute and leads the Pisa KDD Lab – Knowledge Discovery and Data Mining Laboratory/, founded in 1994 as one of the earliest research lab centered on data mining. Fosca is a pioneering scientist in mobility data mining, social network analysis and privacy-preserving data mining. She has coordinated tens of European projects and industrial collaborations and is now the coordinator of SoBigData, the European research infrastructure on Big Data Analytics and Social Mining.
About the Author
Gregory Piatetsky-Shapiro, PhD, is the President of KDnuggets, and a top influencer in Big Data, Data Mining, and Data Science. He is a co-founder of KDD, the leading research conference on Data Mining and Data Science, and co-founder and past chair of ACM SIGKDD. He was a Chief Scientist at two startups. Here is Gregory’s bio . Follow Gregory on Twitter: @kdnuggets or LinkedIn.