My postdoctoral research explores how Machine Learning can enable new insights and breakthroughs in our understanding of ancient epigraphic cultures and of Ancient History proper. My most recent project is Pythia, the first deep learning model for the automatic restoration of Greek inscriptions.
My doctoral research studied the social histories and identities of western Sicilian communities across the epigraphical and archaeological evidence of the archaic and classical periods, while developing digital tools such as ISicDef for Sicilian studies.

Research Positions



2021, Research collaborator
I.Sicily – A digital corpus of Sicilian inscriptions.
University of Oxford-ERC. Director and principal researcher: Prof. Jonathan Prag.
2020, Project Lead
Sibylla – Machine Learning for the restoration of Latin epigraphic texts.
Research funded by the British School at Rome, published in Sommerschield 2020.
2019, Co-lead
Pythia – Restoring ancient text using Deep Learning: a case study on Greek epigraphy.
University of Oxford – DeepMind collaboration, published in Assael, Sommerschield, Prag 2019.
2018 - 2017, Project lead
ISicDef – A digital corpus of Sicilian curse tablets.
Independent research conducted at the University of Oxford, published in Sommerschield 2019.
2016, Volunteer collaborator
Collection Digitisation – Greek and Roman provincial coins.
The Heberden Coin Room, Ashmolean Museum.



The Pythia model, processing the phrase μηδέν ἄγαν. From Assael, Sommerschield, Prag 2019.