Elizabeth was the 2017 AI/Machine Learning Fellow at Perkins Coie. During her fellowship, Elizabeth researched the emerging legal issues arising from the proliferation of AI and Machine Learning products, including issues related to privacy, automated decision making, algorithmic discrimination, algorithmic collusion and machine learning product liability.
A graduate of Columbia Law School, Elizabeth received her undergraduate degree from Dartmouth College. After law school, she clerked for the Hon. Richard C. Tallman on the U.S. Court of Appeals for the Ninth Circuit. Elizabeth was a 2016 Fellow of the Hispanic National Bar Association/Microsoft IP Law Institute, where she mentored Latino law students interested in intellectual property law.