I’m Sarah, an Engineer, AI Scientist, and Ph.D. student at the UC Berkeley School of Information (supervised by Professor Hany Farid). My research interests span computer vision, synthetic media detection, and digital forensics. My work has been featured at the 2023 Nobel Prize Summit, 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 Modelling & 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 an incoming 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, Cambridge, 2016).
Outside of academia: I am working towards my Private Pilot License, I rock climb 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.
LinkedIn // GitHub // Google Scholar // Email // Academic
Berkeley, California // London, United Kingdom