SIOBHÁN K CRONIN (USA/UK) is a machine learning engineer with a passion for bayesian learning, optimization, swarm intelligence, and collaboration.
She began her career researching how humans learn at Harvard's Lab for Developmental Studies and at Harvard Medical School, and now develops tools to help machines and humans collaborate to solve hard problems. Siobhán is currently a software engineer at Uncountable, an associate researcher at Slow Research Lab, and a contributor to the open source swarm intelligence optimization tool PySwarms.
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. 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.
STACK: Python, AWS, git, SQL/NoSQL, Tensorflow, Sklearn, PyTorch, NumPy, vim