Marcello Davide Caio
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Marcello Davide Caio Email & Phone Number

Staff Computer Vision Engineer at Sportradar
Location: Milan, Lombardy, Italy 5 work roles 4 schools
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✓ Verified Jul 2026 3 data sources Profile completeness 100%

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Current company
Role
Staff Computer Vision Engineer
Location
Milan, Lombardy, Italy
Company size

Who is Marcello Davide Caio? Overview

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Quick answer

Marcello Davide Caio is listed as Staff Computer Vision Engineer at Sportradar, a with 4081 employees, based in Milan, Lombardy, Italy. AeroLeads shows a matched LinkedIn profile for Marcello Davide Caio.

Marcello Davide Caio previously worked as Senior Deep Learning Engineer at Sportradar and Senior Deep Learning Researcher at Perceptolab. Marcello Davide Caio holds Doctor Of Philosophy - Phd, Theoretical And Mathematical Physics from King'S College London.

Company email context

Email format at Sportradar

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Sportradar

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Profile bio

About Marcello Davide Caio

Marcello Davide Caio is a Staff Computer Vision Engineer at Sportradar. He possess expertise in research, mathematical modeling, python, theoretical physics, quantum field theory and 39 more skills. He is proficient in French and English.

Listed skills include Research, Mathematical Modeling, Python, Theoretical Physics, and 40 others.

Current workplace

Marcello Davide Caio's current company

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Sportradar
Sportradar
Staff Computer Vision Engineer
Milan, IT
Website
Employees
4081
AeroLeads page
5 roles

Marcello Davide Caio work experience

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Staff Computer Vision Engineer

Milan, It

Senior Deep Learning Engineer

Current

Milan, Lombardy, Italy

Sep 2021 - Present

Senior Deep Learning Researcher

Milan, Lombardy, Italy

Jun 2020 - Sep 2021

Deep Learning Researcher

Milan, Lombardy, Italy

Sep 2019 - Jun 2020

Postdoctoral Researcher

Leiden, South Holland, Netherlands

Postdoc in Professor Carlo Beenakker's group.Besides continuing to work on the non-equilibrium behaviour of topological phases of matter, I broadened my expertise to include Quantum Computation and Deep Learning.

Sep 2017 - Sep 2019
Team & coworkers

Colleagues at Sportradar

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4 education records

Marcello Davide Caio education

Doctor Of Philosophy - Phd, Theoretical And Mathematical Physics

Thesis: "Non-Equilibrium Dynamics of Chern Insulators" Supervisor: Joe Bhaseen My research focused on the Haldane model, and I.

Master Of Science - Ms, Theoretical And Mathematical Physics, 110/110 Cum Laude

Second year of joint master degree at UNITN/SISSA. Only 3 positions were available for EU applicants. Thesis on supersolid materials.

Master Of Science - Ms, Theoretical And Mathematical Physics, 110/110 Cum Laude

First year of joint master degree at UNITN/SISSA. Only 3 positions were available for EU applicants.

FAQ

Frequently asked questions about Marcello Davide Caio

Quick answers generated from the profile data available on this page.

What company does Marcello Davide Caio work for?

Marcello Davide Caio works for Sportradar.

What is Marcello Davide Caio's role at Sportradar?

Marcello Davide Caio is listed as Staff Computer Vision Engineer at Sportradar.

Where is Marcello Davide Caio based?

Marcello Davide Caio is based in Milan, Lombardy, Italy while working with Sportradar.

What companies has Marcello Davide Caio worked for?

Marcello Davide Caio has worked for Sportradar, Perceptolab, Boom, and Lorentz Institute For Theoretical Physics.

Who are Marcello Davide Caio's colleagues at Sportradar?

Marcello Davide Caio's colleagues at Sportradar include Mikael S., Patrick Cwiklinski, Ladislav Brečka, Matej Francetič, and Jake Herzog.

How can I contact Marcello Davide Caio?

You can use AeroLeads to view verified contact signals for Marcello Davide Caio at Sportradar, including work email, phone, and LinkedIn data when available.

What schools did Marcello Davide Caio attend?

Marcello Davide Caio holds Doctor Of Philosophy - Phd, Theoretical And Mathematical Physics from King'S College London.

What skills is Marcello Davide Caio known for?

Marcello Davide Caio is listed with skills including Research, Mathematical Modeling, Python, Theoretical Physics, Quantum Field Theory, Science, Statistics, and Condensed Matter Physics.

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