Ellie Norris
Ellie is the Chapter Lead of Innovation for R&D IT Engineering at Merck with a focus on experimental technologies and problem-solving methods, including ML/MLaaS for NLP use cases. She has degrees in biochemistry and bioinformatics and over 20 years of professional experience in scientific R&D and information technology. She enjoys engaging in activities that promote diversity and inclusion in STEM, and seeks to support women who are pursuing related career paths.
Melissa Barr
Melissa is a Machine Learning Technical Writer at Uber Technologies. Her work and interests involve contributing to open source software, and studying advanced machine learning algorithms. She believes that data and machine learning are key to the future, and will provide endless opportunities for optimization. She received her B.S in Computer Science and her B.S in Marketing from Oregon State University where she also taught Computer Science courses. She is an active member of the Machine Learning and Data Science community in both San Francisco and New York City.
Reshama Shaikh
Noemi Derzsy
Laurence de Torrenté
Iva Horel
Sinziana Eckner
Prithvi Gandhi
