Alberto Casado

Physics PhD | Quantitative Researcher | Data Analyst

About me

Big-picture thinker and goal-oriented professional with over 12 years of experience in semiconductor physics, optoelectronic devices, and data analysis. Recently transitioned to combining analytical and problem-solving skills as a Patent Specialist. Strong foundation in Python programming, statistical modeling, and data-driven decision-making. Fascinated by the intersection of Physics, Mathematics and technology. Eternal learner with a deep interest in optoelectronics, project management and algorithm development.

Professional Experience

2023 - now Patent Specialist, Papula-Nevinpat, Helsinki, Finland

• Manage client patent portfolios, guide and supervise the patent application process from invention through drafting, grant, and beyond.
• Conduct technical analysis for patent applications, ensuring accuracy and compliance with legal standards.
• Review and evaluate technological innovations in various domains, including software, hardware, and physics-based applications.
• Collaborate with legal teams to provide technical insights and strategy for intellectual property protection.
• Analyse and search large datasets of prior-art libraries

2022 - 2023 Senior Manufacturing Engineer, Dispelix, Espoo, Finland

• Led manufacturing projects, developing processes from concept to execution.
• Fully developed a hard-master replication process in a clean room environment.
• Delivered samples within tight deadlines and presented reports to diverse stakeholders.
• Contributed to process optimization and consolidation to enhance operational efficiency.
• Mentored and guided team members, introducing them to standard protocols and tools.

2017 – 2022 Postdoctoral Researcher, Aalto University, Espoo, Finland

• Developed Python-based tools for statistical analysis of complex datasets containing several characteristics of hundreds of devices per wafer.
• Created simulation models for LEDs and PV cells, enhancing understanding of performance and electroluminescent cooling.
• Designed, fabricated and characterised several optoelectronic devices.
• Maintained and operated advanced fabrication and characterization systems.
• Supervised and trained junior researchers on experimental and analytical tools.

2017 Research Assistant, EU-JRC, Ispra, Italy

• Contributed to developing IEC measurement standards for bi-facial photovoltaic modules.
• Conducted experimental analysis using industrial-standard simulation tools.
• Supported junior researchers in laboratory techniques and methodologies.

2008 – 2013 Junior Researcher, CIEMAT, Madrid, Spain

• Developed semi-empirical models to optimize solar-cell front- and back-contact designs.
• Fabricated and characterized materials using advanced spectroscopy and analysis techniques.

Projects

• A complete list can be seen in my GitHub and GitLab profiles.

Scientific modelling and analysis

• LED Models: Developed a Python-based system to simulate and analyse LEDs and Solar Cells several parameters and properties.

Data Analysis and Modeling

• Loan Simulation: Developed a Python model to simulate interest rates, loan balances, and portfolio growth under varying economic conditions.
• Portfolio Optimization: Analyzed risk-return trade-offs using Python libraries to derive optimal asset weights and enhance Sharpe ratios.

Skills

Programming: Python (pandas, numpy, scikit-learn, matplotlib), MATLAB, C, R, Unix, git

Data Analysis and Machine Learning: Statistical modeling, predictive analytics, experimental design, Monte Carlo simulations (basic understanding), time series analysis

Technical Expertise: Semiconductor materials and optoelectronic devices fabrication (MOVPE, PECVD, ICP-RIE, PVD, Evaporation, Photolithography, EBL), characterization techniques (AFM, SEM, Ellipsometry, XRD, IV curves, Confocal Microscopy, Spectrophotometry, Micro-Raman spectroscopy, Optical Reflectance and Transmission, XPS)

Strengths: Self learner, curious, courageous, passionate, flexible, persistent, self-guided, effective communicator, problem-solver, team player, critical thinker, adaptable, humble, leader, resilient

Languages: Spanish (Native), English (C2), French and Italian (B1), Finnish and Swedish (A1)

Education

2016 Ph.D. in Physics, Universidad Complutense de Madrid, Spain

• Focus: Optoelectronic devices/materials simulation, modeling, fabrication, and characterization

2012 M.Sc. in Advanced Materials and Nanotechnology, Universidad Autónoma de Madrid, Spain

• Focus: Fabrication and characterization techniques, analysis methods, and programming tools

2008 B.Sc. in Physics, Universidad Autónoma de Madrid, Spain

• Focus: Programming, Mathematical and Theoretical Physics, Solid-matter Physics

Additional courses

2025

• Python for Financial Analysis and Algorithmic Trading – (Udemy)
• The complete Financial Analyst Course 2025 – (Udemy)
• The Complete SQL Bootcamp: Go from Zero to Hero (Udemy)

2024

• Foundations of Finance - (University of Cambridge, edX)
• Financial Markets - (Yale University, Coursera)
• Mathematical Methods for Quantitative Finance - (MITx, edX)
• Financial Engineering and Risk Management – (Columbia University, Coursera)
• Python for Time Series Data Analysis – (Udemy)
• Python for Data Science and Machine Learning – (Udemy)
• Python for Finance: Investment Fundamentals & Data Analytics (Udemy)
• Python for Machine Learning and Data Science Masterclass (Udemy)