Manuel Baltieri

Manuel Baltieri

Interdisciplinary researcher. Mathematical modeller. Coder.

  • Interdisciplinary researcher synthesizing common threads across artificial life, neuroscience and artificial intelligence.
  • Computational modeller turning abstract contexts into mathematical objects.
  • Proficient coder developing simulations of complex systems in artificial worlds, biology and cognitive science starting from mathematical models.
Full CV
Location
Tokyo, Japan

Experience

present

Board of Directors at International Society for Artificial Life

present

Chief Researcher at Araya Inc.

Creating string diagrams of dynamical systems and control systems in applied category theory for models of decision making and reinforcement learning in general AI and mathematical theories of agent-environment interactions.

Lecturer (part-time) at Center for Human Nature, Artificial Intelligence, and Neuroscience (CHAIN) - Hokkaido University, JP

Teaching a course on formal approached to the study of agency for the CHAIN 2023 Winter Graduate School: Minimal Cognition and Agency.

Researcher at Araya Inc.

Working on deep learning approaches to program synthesis and understanding. Focusing on Large Language Models (LLMs): architecture optimisation, fine-tuning, prompt engineering and performance metrics.

present

Visiting Research Fellow at University of Sussex

Research Consultant and Developer at Nested Minds Network Ltd.

JSPS/Royal Society Postdoctoral Research Fellow at RIKEN Centre for Brain Science

Postdoctoral Research Fellow at University of Sussex

Lecturer in Machine Learning (Fixed term) at University of Sussex

Education

Ph.D. in Informatics and Artificial Intelligence from University of Sussex

MSc in Evolutionary and Adaptive Systems from University of Sussex

BEng in Information and Business Organisation Engineering from University of Trento

Publications

See the complete list here

Languages

Venetian
Fluency: Native speaker
Italian
Fluency: Native speaker
English
Fluency: Native or bilingual proficiency
Spanish
Fluency: Professional working proficiency
Japanese
Fluency: Limited working proficiency
French
Fluency: Limited working proficiency

Skills

Mathematics
Level: Master
Keywords:
  • Probability theory
  • Stochastic processes
  • Applied category theory
AI and ALife
Level: Master
Keywords:
  • Systems thinking
  • Complex systems
  • Agent-based modelling
  • Computational modelling
Neuroscience
Level: Master
Keywords:
  • Mathematical Neuroscience
  • Motor Neuroscience
  • Decision making
Machine learning
Level: Master
Keywords:
  • Deep learning
  • Large Language Models (LLMs)
  • Python (Pytorch/JAX)

Interests

Exploring
Keywords:
  • Travelling
Land sports
Keywords:
  • Kickboxing
  • Cycling
Water sports
Keywords:
  • Kayaking
  • Canyoning
  • Rafting
  • Snorkelling