SBarrington

Sarah Barrington

MIMS Student 2023

Focus

Machine learning, cyber-physical risk, algorithmic moderation, ethics & policy, digital forensics

Biography

I’m an Engineer, Data Scientist and graduate researcher at the UC Berkeley School of Information. My primary research interests lie at the intersection of machine learning and real-world risk, including algorithmic moderation, cyber-physical threat, decentralised artificial intelligence and digital forensics.

Previously, I graduated from Cambridge University with First Class Honors in General & Manufacturing Engineering (BA, MEng, MA), before working at McLaren Applied as an Associate Engineer & Data Scientist in the Modelling & Decision Sciences function. I have since co-founded two technology start ups, CAL Social and coyote.ai, the latter of which was acquired in 2019.

I am the current US-UK Fulbright award holder for Data and Analytics, and have previously held the Scholarship Visionary of the Year award (IMechE, 2017), James Clayton Undergraduate Scholarship (IMechE 2012-16), and both the Ann Jemima Clough and Eleanor Sidgwick Prizes for academic excellence and dissertation performance respectively (Newnham College, Cambridge, 2016).

Last updated:

July 6, 2022