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

Nov 2023 – present

Board of Directors at International Society for Artificial Life

Oct 2022 – 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.

Dec 2022 – Feb 2023

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.

Nov 2021 – Sep 2022

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.

Jan 2020 – present

Visiting Research Fellow at University of Sussex

Sep 2021 – Oct 2021

Research Consultant and Developer at Nested Minds Network Ltd.

Nov 2019 – Oct 2021

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

Mar 2019 – Oct 2019

Postdoctoral Research Fellow at University of Sussex

Feb 2019 – Jun 2019

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

Education

Oct 2015 – Jul 2019

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

Oct 2013 – Sep 2014

MSc in Evolutionary and Adaptive Systems from University of Sussex

Oct 2009 – Sep 2012

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