Dr. Albert Queralto

Data Scientist at Hewlett Packard 3D Printing Division

Lead researcher on high-throughput experimentation. Development and deployment of cutting-edge, advanced experimental strategies and data-driven approaches for fast material discovery. Exploratory data analysis, descriptive analytics, advanced statistics and machine learning (regression analysis, clustering, etc.) to draw conclusions and insights from data.

Lead researcher on high-throughput experimentation. Development and deployment of cutting-edge, advanced experimental strategies and data-driven approaches for fast material discovery. Exploratory data analysis, descriptive analytics, advanced statistics and machine learning (regression analysis, clustering, etc.) to draw conclusions and insights from data.

Lead competitive research projects for advancement of renewable energies. Exploratory data analysis of experimental conditions. Predictive analysis of material composition using advanced statistics and machine learning. Excellent organizational and planning skills, attention to detail, efficient time management. International conference organization. Advanced data visualizations to communicate research results. Mentoring skills by supervising student internships. Team building skills.

Lead a project that enabled the fabrication of graphene oxide films by laser evaporation for use as efficient energy storage devices. Advanced statistical analysis of experimental data to draw conclusions and insights about material composition and properties. Modelling of laser-induced heating by solving complex mathematical equations. Development of linear and non-linear regression models to predict and study material composition.

Investigation of materials fabrication principles from chemical solutions. Exploratory data analysis and machine learning to draw conclusions from data. Modelling of material fabrication and properties by solving complex equations. Task management, organization and planning. Organization of workshops and outreach events. Storytelling and data visualization skills by preparing scientific presentations, progress reports and publications. Autonomous, results-oriented, proactive and critical thinker.

Lead a collaboration that allowed the development of a novel laser technique for the fabrication of computer memories. Mathematical modelling of laser-induced temperatures. Modelling and prediction of material properties by employing advanced mathematical equations, statistics and machine learning.

R+D assessment, strategy planning and implementation of an innovation management system. Digital transformation, orientation towards the client, lean management. Leadership, creativity, internal communication. Exploitation and sale of innovations and their rights (patents, technology transfer, etc).

Thesis: Growth of functional heterostructures from chemical solutions using advanced processing methodologies.

Theoretical concepts of different phenomena related with functional materials and their properties. Practical examples of functional materials and preparation methods. Fundamental principles, characterization techniques and methods used in materials’ characterization.

Electromagnetism, thermodynamics, optics, astrophysics, biophysics, classical and quantum mechanics, materials science, physics at the nanoscale, computer programming in C, nuclear, particle and radiation physics, statistics and probability, algebra and calculus, relativity.