Summary
Manuel De Prada Corral is a PhD candidate in NLP at ETH Zürich with a decade of experience applying deep learning to language tasks. He has blended academic rigor and practical engineering through roles at ETH (teaching NLP and LLM courses) and an ML engineering internship at Hugging Face, focusing on structured generation, decoding strategies and tokenization. Earlier research positions at CITIUS centered on misinformation detection and information retrieval, reflecting a strong applied research background in NLP. Trained in both computer engineering and mathematics, he brings precise quantitative thinking to model design and evaluation. Based in Zurich and active in the ETH research ecosystem, he pairs hands-on implementation skills with coursework and teaching experience that sharpen communication of complex ideas. A detail that sets him apart is his continuum from summer research internships to current doctoral work, showing early and sustained commitment to research-driven NLP solutions.
10 years of coding experience
2 years of employment as a software developer
MSc in Computer Science, MSc in Computer Science at ETH Zürich
Dual Bachelor's Degree in Computer Ingeneering and Mathematics., Dual Bachelor's Degree in Computer Ingeneering and Mathematics. at Universidad de Santiago de Compostela
Alumni Association (scholars) of the Barrie Foundation
English, French, Spanish, Portuguese