Siobhán is a machine learning engineer with a passion for the mind, complex systems, and AI.

She began her career researching how humans learn at Harvard's Lab for
Developmental Studies and Harvard Medical School, and now builds tools
to help machines learn so that they can help humans solve hard problems. She is currently studying math and computer science at Stanford as a part-time graduate student and collaborating on open source swarm intelligence optimization tools.

Siobhán has published research in Brain & Cognition, Neuroreport, and Model View Culture, and presented 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 IEEE Computational Intelligence Society (CIS), and coordinates a monthly a machine learning working group in San Francisco (ML Study Hall). 

Siobhán composes contemporary music inspired by her research, and has shared original compositions at the DeYoung Museum, Yerba Buena Center for the Arts, San Francisco Women's Building, Brooklyn Rooftop Film Festival, and ODC Theater. Her music has received research funding from Movement Research, San Francisco Arts Commission, Puffin Foundation, and Jerome Foundation, as well as residencies from the Santa Fe Art Institute and Playa Summer Lake.

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