In the ALDH Lab, we harness the rapid developments in the fields of machine learning and natural language processing in
order to advance research in the history and memory of the Holocaust.
Using computational models, we identify and analyze narrative components in oral testimonies of Holocaust survivors.

We have also utilized the models developed in the ALDH Lab for additional fields of research, beyond the study of the
Holocaust: listening to minority voices in democratic societies, monitoring Parliamentary debates, etc.
Since its establishment, the ALDH Lab has grown to include several researchers, from master’s students to post-docs,
working on different projects.

These projects are being developed through active collaboration between the ALDH Lab’s PI and other PIs from
disciplines across the university: law, humanities, social sciences, data and computer science.

The ALDH Lab has also won numerous competitive research grants that help further its research and lab members have
presented their research in international conferences and published their findings in leading journals in the respective
fields.

Additionally, we collaborate with international archives dedicated to the collection of Holocaust testimonies, opening
avenues of outreach and impact beyond the academia.