Luis Salamanca currently serves as Lead Data Scientist at the Swiss Data Science Center, ETH Zürich. In this role, he conducts interdisciplinary research across various domains, including architecture, engineering, and social and political sciences, utilising machine learning methods that range from generative models to natural language processing. Previously, he obtained his Bachelor's degree in Electrical Engineering and his MSc in Signal Theory and Communications, both from the University of Seville, before earning a PhD in Communication Theory between Madrid and Seville in 2013. He then moved to the Luxembourg Centre for Systems Biomedicine for a postdoctoral position, where he shifted his focus to neuroscience, neuroimaging, and life sciences, applying machine learning techniques to these fields. Additionally, he has undertaken diverse academic visits to centres at EPFL, Oxford, and Bell Labs, aiming to explore various problems. Consequently, he has consistently strived to conduct interdisciplinary research across multiple domain fields throughout his career, investigating the potential of machine learning and artificial intelligence methods in solving complex problems.
During his time at Cambridge, he intends to investigate the application of natural language processing methods, such as large language models, for the investigation of large written records, particularly the archives of foreign relations of the US. By automatically extracting relevant entities and relationships from the text, we can construct a knowledge graph that captures the synergies and dynamics necessary to study and understand the intricate fields of diplomacy, international relations, and politics, among others. This offers a more comprehensive and holistic view of the written records, which can be leveraged by domain experts to better explore the data and derive more insightful and informative conclusions. The results and findings obtained will facilitate the implementation of a general methodology for processing text archives across various fields, supporting researchers and end-users in navigating these vast information sources. This aligns with Luis’ vision, which advocates for human-in-the-loop methods that enhance the expert’s skills with the power of AI.
https://www.datascience.ch/people/luis-salamanca
