Invited speakers

Distinguished lecture for the 30th anniversary of the ICGI conference

• Dana Angluin (Yale University, USA)

Invited speakers

• Cyril Allauzen (Google, New York)
  Cyril Allauzen’s main research interests are in finite-state methods and their applications to text, speech, and natural language processing and machine learning. Before joining Google, he worked as a researcher at AT&T Labs Research and at NYU’s Courant Institute of Mathematical Sciences.
  Cyril is an author of the OpenFst Library, the OpenKernel Library and the GRM Library.

• Ahmed Elnaggar (Technische Universität München, Germany)
  Ahmed Elnaggar performs research on the applications of self-supervised deep learning and language models using high-performance computing in several domains, including NLP, Biology, software engineering, and speech.
  Ahmed has recently contributed to the inference of major protein language models:

1. • Ahmed Elnaggar, Hazem Essam, Wafaa Salah-Eldin, Walid Moustafa, Mohamed Elkerdawy, Charlotte Rochereau, Burkhard Rost. Ankh: Optimized Protein Language Model Unlocks General-Purpose Modelling. arXiv (2023)
   • Elnaggar A, Heinzinger M, Dallago C, Rehawi G, Yu W, Jones L, Gibbs T, Feher T, Angerer C, Steinegger M, et al. ProtTrans: Towards Cracking the Language of Lifes Code Through Self-Supervised Deep Learning and High Performance Computing. IEEE Trans Pattern Anal Mach Intell. (2021)
   • Heinzinger M, Elnaggar A, Wang Y, Dallago C, Nechaev D, Matthes F, Rost B. Modeling aspects of the language of life through transfer-learning protein sequences. BMC Bioinformatics. (2019)