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

Chief Researcher at Araya Inc.

Studying agency and agent-environment interactions. Building string diagrams of dynamical systems and control systems in applied category theory.

Researcher at Araya Inc.

Implementing deep learning approaches to program synthesis and understanding, models of decision making and reinforcement learning for general AI. Working on mathematical theories of agent-environment interactions.

present

Visiting Research Fellow at University of Sussex

Working on models on psychophysics experiments for uncertainty estimation and decision making. Supervising Master students in neuroscience and machine learning.

Research Consultant and Developer at Nested Minds Network Ltd.

Writing Jax and (Num)Pyro code to support python development of active inference models. Applying active inference to machine learning, robotics, economics and finance.

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

Modelling brains in artificial and biological agents with Bayesian inference. Implementing collective intelligence and active matter simulations for perception of agency. Coding `Generalised Filtering’ in Pytorch for active inference, learning and control.

Postdoctoral Research Fellow at University of Sussex

Implementing control as inference and active inference with Bayesian neural networks on robots. Coding models of uncertainty for psychophysics experiments.

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

Teaching courses in Neural Networks and Fundamentals of Machine Learning.

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

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
Neuroscience
Level: Master
Keywords:
  • Mathematical Neuroscience
  • Motor Neuroscience
  • Decision making
Computing
Level: Master
Keywords:
  • Computational modelling
  • Machine learning
  • Python (Pytorch/JAX)

Interests

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