SIOBHÁN K CRONIN (USA/UK) is a machine learning engineer with a passion for Bayesian learning, optimization and collaboration. 

She began her career researching how humans learn at Harvard's Lab for Developmental Studies and at Harvard Medical School, and now builds tools to help machines learn. Siobhán is currently a graduate student at Stanford and collaborates on open source projects, including swarm intelligence optimization tools. She is a member of Bay Area Women in Machine Learning and Data Science and IEEE Computational Intelligence Society (CIS), and coordinates a monthly a machine learning working group in San Francisco.

Siobhán has published research in Brain & Cognition, Neuroreport, and Model View Culture, and has given talks at Metis, the Conference on Complex Systems, Conference on Cognitive Neuroscience, AlterConf, PyLadies, and Temple University.

STACK: Python, C++, SQL/NoSQL, Spark, Sklearn, PySwarms, PyMC3, vim

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