Diego Diaz
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Diego Diaz Email & Phone Number

Expert - Artificial Intelligence (Complex Adaptive Systems) at ArcelorMittal
Location: Avilés, Principality Of Asturias, Spain 5 work roles 2 schools
1 work email found @arcelormittal.com LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

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Work email d****@arcelormittal.com
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Current company
Role
Expert - Artificial Intelligence (Complex Adaptive Systems)
Location
Avilés, Principality Of Asturias, Spain
Company size

Who is Diego Diaz? Overview

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Quick answer

Diego Diaz is listed as Expert - Artificial Intelligence (Complex Adaptive Systems) at ArcelorMittal, a company with 60836 employees, based in Avilés, Principality Of Asturias, Spain. AeroLeads shows a work email signal at arcelormittal.com and a matched LinkedIn profile for Diego Diaz.

Diego Diaz previously worked as Expert - Artificial Intelligence and Mathematical Modelling at Arcelormittal and Research Engineer at Arcelormittal. Diego Diaz holds Doctor Of Philosophy - Phd, Operations Research from Universidad De Oviedo.

Company email context

Email format at ArcelorMittal

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{first}.{last}@arcelormittal.com
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Profile bio

About Diego Diaz

Passionate and creative generalist in the field of applied AI and optimization, with an insatiable hunger for learning and new challenges.The role of Global R&D Expert, of which there are 10 across the whole organization, is similar to a Principal Scientist or Technical Lead in other companies, being a worldwide reference on the topic for the whole group (not just R&D), and providing support to high management in definition of strategic research lines and high-impact projects and initiatives.Through the years, I have been responsible for the conception, design, and development of solutions for decision making throughout the value chain worldwide. We work by collaborating in international, remote, multidisciplinary project teams including stakeholders from R&D, business, and operations, within an agile framework starting with an MVP and iterating in short cycles.With these projects I have had exposure not only to the operations side of the company, but also to higher level areas, such as strategy, commercial & marketing, procurement, yard & inventory management, logistics, or planning & scheduling. Together, we have built solutions based on Operations Research, Machine Learning, Optimization (including linear, convex and non-linear optimization, combinatorial optimization, multi-objective optimization, stochastic optimization, and robust optimization), Advanced Analytics, and simulation.I am a firm believer in the right tool for the job, so my technology stack includes, among others, Python (and typical Data Science libraries and frameworks: numpy, pandas, scikit-learn, matplotlib, etc.) as the main programming language, AMPL for mathematical programming (a general algebraic modelling language that can be used with solvers like Gurobi, CPLEX, Cbc, ...), Evolutionary Algorithms and other Metaheuristics; lately I am getting to know and use libraries for probabilistic models such as PyStan, GPy or Prophet, and some Game Theory algorithms.Some of the results have been published in journals and technical conferences, and I regularly take part in outreach activities, including STEM career promotion in local schools, as invited speaker for the Automation and Industrial Informatics master at University of Oviedo, presenting at conferences, and as a reviewer.

Listed skills include Operations Research, Artificial Intelligence, Optimizations, Soft Computing, and 15 others.

Current workplace

Diego Diaz's current company

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ArcelorMittal
Arcelormittal
Expert - Artificial Intelligence (Complex Adaptive Systems)
Asturias, Spain
Employees
60836
AeroLeads page
5 roles

Diego Diaz work experience

A career timeline built from the work history available for this profile.

Expert - Artificial Intelligence (Complex Adaptive Systems)

Asturias, Spain

Expert - Artificial Intelligence And Mathematical Modelling

Current

Avilés Area, Spain

May 2018 - Present

Research Engineer

Current

Bussiness Intelligence Area in ArcelorMittal Asturias R&D Technological Centre

Sep 2004 - Present

Visiting Scholar

Visiting scholar within the convex optimization group led by professor Stephen Boyd.

Jan 2015 - Aug 2015

Researcher

Researcher at the Systems and Automation department of the University, in projects related to sensors and data analysis for Arcelor.

Jan 2001 - Sep 2004
Team & coworkers

Colleagues at ArcelorMittal

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2 education records

Diego Diaz education

Doctor Of Philosophy - Phd, Operations Research

PhD in the field of applied metaheuristics with the thesis 'Exploitation of parallelism in population-based metaheuristics and application.

FAQ

Frequently asked questions about Diego Diaz

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

What company does Diego Diaz work for?

Diego Diaz works for ArcelorMittal.

What is Diego Diaz's role at ArcelorMittal?

Diego Diaz is listed as Expert - Artificial Intelligence (Complex Adaptive Systems) at ArcelorMittal.

What is Diego Diaz's email address?

AeroLeads has found 1 work email signal at @arcelormittal.com for Diego Diaz at ArcelorMittal.

Where is Diego Diaz based?

Diego Diaz is based in Avilés, Principality Of Asturias, Spain while working with ArcelorMittal.

What companies has Diego Diaz worked for?

Diego Diaz has worked for Arcelormittal, Stanford University, and Universidad De Oviedo.

Who are Diego Diaz's colleagues at ArcelorMittal?

Diego Diaz's colleagues at ArcelorMittal include Jonas Maes, Georgel Danaila, Mary M. Sanchez, Ferrin Yann, and Stephen Booker.

How can I contact Diego Diaz?

You can use AeroLeads to view verified contact signals for Diego Diaz at ArcelorMittal, including work email, phone, and LinkedIn data when available.

What schools did Diego Diaz attend?

Diego Diaz holds Doctor Of Philosophy - Phd, Operations Research from Universidad De Oviedo.

What skills is Diego Diaz known for?

Diego Diaz is listed with skills including Operations Research, Artificial Intelligence, Optimizations, Soft Computing, R&D, Simulations, Supply Chain, and Engineering.

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