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Sarah Barrington
  • About
  • Research / Projects
  • Publications
  • CV
  • GITHUB
  • Contact

I’m Sarah, an Engineer, AI researcher, and Ph.D. student at the UC Berkeley School of Information (supervised by Professor Hany Farid). My research interests span signal processing, synthetic media detection, and digital forensics. My work has been featured at the Nobel Prize Summit, discussed at the White House and on NPR, recognized by the United Nations, and published in Nature Scientific Reports among other academic venues. 

Previously, I graduated from the University of Cambridge, UK, with First Class Honors in General & Manufacturing Engineering (BA, MEng, MA), before working at McLaren Formula 1 as an Associate Engineer & Data Scientist in the Modeling & Decision Sciences function. I have since co-founded two technology start-ups, the latter of which was successfully acquired in 2019.

I am a Graduate Fellow at the Berkeley Risk and Security Lab, a Research Scholar at the Center for Long-Term Cybersecurity, and a UC Berkeley Fellowship Awardee. I have previously held the 2022 US-UK Fulbright Award for Data and Analytics, 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, University of Cambridge, 2016).

Outside of academia: I am working towards my Private Pilot License, I climb and hike in beautiful places (including in Yosemite Valley!), and I try to go to as many Formula 1 races as I can. I also bake for a wonderful local charity called Cake4Kids. And by the way… I am British, with the accent to match!

LATEST WORK

Featured
Our Work in Lawfare - Why Courts Need Updated Rules of Evidence to Handle AI Voice Clones
Apr 10, 2025
Sarah Barrington
Our Work in Lawfare - Why Courts Need Updated Rules of Evidence to Handle AI Voice Clones
Apr 10, 2025
Sarah Barrington
Apr 10, 2025
Sarah Barrington
Featured in the Royal Academy of Engineering Ingenia Magazine
Apr 10, 2025
Sarah Barrington
Featured in the Royal Academy of Engineering Ingenia Magazine
Apr 10, 2025
Sarah Barrington
Apr 10, 2025
Sarah Barrington
How AI-Voice Clones Fool Humans: Our Latest Work in Nature Scientific Reports
Apr 10, 2025
Sarah Barrington
How AI-Voice Clones Fool Humans: Our Latest Work in Nature Scientific Reports
Apr 10, 2025
Sarah Barrington
Apr 10, 2025
Sarah Barrington
Releasing The DeepSpeak Dataset
Apr 10, 2025
Sarah Barrington
Releasing The DeepSpeak Dataset
Apr 10, 2025
Sarah Barrington
Apr 10, 2025
Sarah Barrington
In the Washington Post Today
Oct 16, 2024
Sarah Barrington
In the Washington Post Today
Oct 16, 2024
Sarah Barrington
Oct 16, 2024
Sarah Barrington
Writing about Bad Bunny in the Berkeley Science Review
Oct 7, 2024
Sarah Barrington
Writing about Bad Bunny in the Berkeley Science Review
Oct 7, 2024
Sarah Barrington
Oct 7, 2024
Sarah Barrington
Keynote at the Alan Turing Institute Women in AI Security Workshop
Oct 7, 2024
Sarah Barrington
Keynote at the Alan Turing Institute Women in AI Security Workshop
Oct 7, 2024
Sarah Barrington
Oct 7, 2024
Sarah Barrington
Talking to Vox About FKA twigs, Scarlett Johansson and Audio Deepfakes
Jun 16, 2024
Sarah Barrington
Talking to Vox About FKA twigs, Scarlett Johansson and Audio Deepfakes
Jun 16, 2024
Sarah Barrington
Jun 16, 2024
Sarah Barrington

CONTACT

LinkedIn // GitHub // Google Scholar // Email // Academic

Berkeley, California // London, United Kingdom

 

SARAH BARRINGTON