Nicola Dainese
Scholar

Nicola Dainese

Google Scholar ID: tXmPE94AAAAJ
PhD student, Aalto University
deep reinforcement learningmodel-based reinforcement learninglarge languade models
Citations & Impact
All-time
Citations
149
 
H-index
6
 
i10-index
5
 
Publications
13
 
Co-authors
14
list available
Resume (English only)
Academic Achievements
  • The thesis of one of his advisees, Matteo Merler, was awarded the Best Thesis Award at the CS Department of Aalto University (among three winners out of over 500 participants); Co-authored a paper accepted at NeurIPS 2024 with Matteo Merler and other collaborators.
Research Experience
  • Led the Seminar course on Large Language Models (2023 & 2024), which won the Best Small Course Award in Aalto University’s CS Department; Organizer of the ongoing Seminar on Large Language Models at Aalto University; Pushed for more integration between Master Thesis workers and PhD researchers, co-authoring a paper published at NeurIPS 2024 with Matteo Merler; Currently advising 2 master’s students in training a small multilingual language model on 13 European languages from scratch on the LUMI supercomputer.
Education
  • Pursuing a PhD in Computer Science at Aalto University, Finland.
Background
  • Currently pursuing a PhD in Computer Science at Aalto University, Finland. Research interests span Model-based Reinforcement Learning, Large Language Models, Code Generation, and Vision-Language Models. Passionate about the impact of AI on the world, the quest for Artificial General Intelligence, and the relevance (and lack thereof) of academia and the EU in this landscape.
Miscellany
  • Plans to share experiences as a PhD student, insights into research, and reflections on the evolving AI landscape.