SIOBHÁN K CRONIN (USA/UK, b. 1980) is a machine learning engineer and scientist with a passion for form and movement in complex systems.
She began her career in a neuroscience laboratory at Harvard Medical School, while moonlighting as a contemporary dancer. After several years helming cultural NGOs, she shifted her attention to applied machine learning, differential geometry, stochastic programming, and complexity modeling.
Siobhán is currently building a predictive model for a transportation startup, collaborating on swarm intelligence optimization tools, co-designing a cross-cultural complexity think tank in partnership with Slow Research Lab, and completing computer science coursework at Stanford.
She has published research in Brain & Cognition, Neuroreport, and Model View Culture, and has given presentations at the Conference on Complex Systems, Conference on Cognitive Neuroscience, AlterConf, PyLadies, and Temple University. She is a member of Bay Area Women in Machine Learning and Data Science and the IEEE Computational Intelligence Society (CIS), and an advisor of the Bay Area Arts and Science Interactive Collaborative Sessions (BAASICS).
Siobhán enjoys meditation, gardening, and supporting anti-trafficking efforts.
STACK: Python, C, tensorflow, keras, sklearn, PyMC3, vim, AWS