Diego Diaz Email & Phone Number
@arcelormittal.com
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Who is Diego Diaz? Overview
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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.
Email format at ArcelorMittal
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AeroLeads found 1 current-domain work email signal for Diego Diaz. Compare company email patterns before reaching out.
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.
Diego Diaz's current company
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Diego Diaz work experience
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Expert - Artificial Intelligence And Mathematical Modelling
Current
Research Engineer
CurrentBussiness Intelligence Area in ArcelorMittal Asturias R&D Technological Centre
Visiting Scholar
Visiting scholar within the convex optimization group led by professor Stephen Boyd.
Researcher
Researcher at the Systems and Automation department of the University, in projects related to sensors and data analysis for Arcelor.
Colleagues at ArcelorMittal
Other employees you can reach at arcelormittal.com. View company contacts for 60836 employees →
Jonas Maes
Colleague at ArcelormittalGhent Metropolitan Area, Belgium
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GD
Georgel Danaila
Colleague at ArcelormittalGalaţi, Romania, Romania
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MM
Mary M. Sanchez
Colleague at ArcelormittalEast Chicago, Indiana, United States, United States
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FY
Ferrin Yann
Colleague at ArcelormittalThionville, Grand Est, France, France
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SB
Stephen Booker
Colleague at ArcelormittalValparaiso, Indiana, United States, United States
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RR
Raghu Reddy
Colleague at ArcelormittalJubail, Eastern, Saudi Arabia, Saudi Arabia
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CM
Cristina Morais
Colleague at ArcelormittalVila Velha, Espírito Santo, Brazil, Brazil
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JL
Junior Lima
Colleague at ArcelormittalPorto Seguro, Bahia, Brazil, Brazil
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GH
Gang Huang
Colleague at ArcelormittalEast Chicago, Indiana, United States, United States
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JH
Jim Hillegonds
Colleague at ArcelormittalGriffith, Indiana, United States, United States
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Diego Diaz education
Doctor Of Philosophy - Phd, Operations Research
Master Of Science - Ms, Industrial Engineering (Electronics & Automation)
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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