Type of position: research position
Name: Julio Ricardo Barrios Amador
Description: Undergraduate Computer Science Engineering student at the Costa Rica Institute of Technology (ITCR) seeking research opportunities in Artificial Intelligence, Quantitative Finance, Computational Economics, Financial Machine Learning, Reinforcement Learning, Evolutionary Computation, Optimization, and Data Science. Interested in developing AI-driven models for algorithmic trading, portfolio optimization, financial forecasting, market microstructure analysis, and decision-making under uncertainty. Passionate about interdisciplinary research at the intersection of computer science, finance, economics, and machine learning. Open to research collaborations, internships, and opportunities leading to M.Sc. or Ph.D. studies.
Short CV: B.Sc. in Computer Science Engineering (in progress) at the Costa Rica Institute of Technology (TEC). IEEE Computer Society student leader with experience in software engineering, artificial intelligence, machine learning, backend development, computer vision, and Web3 technologies. Research interests include quantitative finance, computational economics, deep learning, reinforcement learning, optimization, evolutionary algorithms, and AI for financial markets. Seeking opportunities to contribute to cutting-edge research while preparing for graduate studies.
Email: j.barrios.2@estudiantec.cr
ORCID: 0009-0002-0569-7727
Web page: https://julio-ricardo-barrios-amador.vercel.app/
Other link: https://github.com/JuliobaCR
General location: Asia, Europe, North America
Specific countries: Canada, China, Germany, Hong Kong, Japan, Netherlands, Singapore, Switzerland, United Kingdom, United States
Until when: 2028-12-31
Present at next GECCO? yes