davide@portfolio:~$ whoami

Davide Lanza

Software & Robotics Engineer

Full-stack software, intelligent systems, scientific computing.

01 / selected works
02 / experience

Senior Software Developer

Evotec

Backend R packages and data pipelines; production Shiny applications and component packages; Storybook UI systems.

Software Developer

Evotec

Data consistency across APIs and databases; Docker infrastructure for API services and Shiny applications.

Junior Software Developer

Evotec

PostgreSQL schemas, backend data workflows and Python REST APIs.

ML Engineer

Kellify

SQL and Neo4j art-market data; Python cleaning and model-training pipelines; ML REST APIs and AI data-visualisation prototypes.

Co-Founder

EIKON Project

Association president (2020–2025); web development; brand supervision; exhibitions, editorial work, volunteers and fundraising.

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Bachelor of Fine Arts

University of Fine Arts Hamburg (HFBK)

Specialization in Graphic Art / Photography

European Master of Advanced Robotics

École Centrale de Nantes · University of Genoa

Double degree in robotics. Final grade: 100/100.

BSc Electronics Engineering and IT

University of Genoa

Final grade: 110/110 cum laude.

Science and Technology for IT

IANUA Institute for Higher Studies

Multidisciplinary programme for students ranked in the top 10%.

03 / academia
  1. Multi-sensory Integration in a Quantum-Like Robot Perception Model

    Davide Lanza, Paolo Solinas, Fulvio Mastrogiovanni

    Experimental Robotics · ISER 2020 · Springer, 2021

  2. Cloud Services for Culture Aware Conversation

    Carmine Recchiuto et al.

    17th International Conference on Ubiquitous Robots, 2020

  3. Abductive Recognition of Context-dependent Utterances in Human-robot Interaction

    Davide Lanza, Roberto Menicatti, Antonio Sgorbissa

    IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

  4. End-to-End Deep Neural Network Design for Short-term Path Planning

    Minh Quan Dao, Davide Lanza, Vincent Frémont

    IROS Workshop on Planning, Perception and Navigation for Intelligent Vehicles, 2019

04 / blog
all writing →
05 / notes

Course notes & cheatsheets

AI, robotics, control, signal processing, art and philosophy.

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