Curriculum Vitae
Pedro M. P. Curvo
Master Student in Artificial Intelligence, University of Amsterdam
Education
Master of Science in Artificial Intelligence
University of Amsterdam — Amsterdam, Netherlands
- GPA: 8.6/10 (Excellent, A+ in US/UK scale)
- Expected to graduate cum laude and with ELLIS MSc Honours Programme distinction
- Thesis (in progress): "Scalable Architectures for Flow Matching"
Bachelor of Science in Physics Engineering
Instituto Superior Técnico — Lisbon, Portugal
- Thesis: "Using Deep Learning to Design High Aspect Ratio Fusion Devices" (20/20)
- GPA: 16/20
- Additional coursework: AI, Machine Learning, Software Engineering, Algorithms, Information Systems, Data Structures
Research Experience
Research Assistant
University of Amsterdam — Scientific Machine Learning — Amsterdam, Netherlands
- Developing MSPT, a multi-scale attention architecture for large-scale PDE solvers with improved memory and runtime efficiency.
Research Intern
Feedzai — AI & Financial Crime — Lisbon, Portugal
- Implemented an agent to draft Suspicious Activity Reports, reducing analyst drafting time by 70%.
Undergraduate Research Assistant
University of Wisconsin-Madison — Machine Learning for Fusion — Madison, WI, USA
- Developed a model to predict stellarator configurations from desired plasma properties.
- Released a ~35M-sample near-axis dataset for fusion energy machine learning.
Publications
- Curvo, P.M., Van De Meent, J.-W. & Zhdanov, M. (2025). MSPT: Efficient Large-Scale Physical Modeling via Parallelized Multi-Scale Attention. Under Review.
- Curvo, P.M. (2025). The Traitors: Deception and Trust in Multi-Agent Language Model Simulations. NeurIPS 2025 Workshop on Multi-Turn Interactions in Large Language Models.
- Curvo, P.M., Dragomir, M., Torpes, S., & Rahimi, M. (2025). Reproducibility Study of "Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents".
- Curvo, P., Ferreira, D.R., & Jorge, R. (2024). Using deep learning to design high aspect ratio fusion devices. Journal of Plasma Physics, 91.
Teaching Experience
Teaching Assistant, Deep Learning I
Department of Computer Science, University of Amsterdam
Teaching Assistant, Machine Learning I
Department of Computer Science, University of Amsterdam
Teaching Assistant, Physics II
Department of Physics, Instituto Superior Técnico
Work Experience
Junior Software Engineer
Copernica — Amsterdam, Netherlands
- Developed new backend and frontend features in the R&D team.
Skills
Machine Learning
PyTorch, TensorFlow, JAX, Scikit-Learn, Keras
Programming Languages
Python, TypeScript, JavaScript, C++, C, Java, R
Web Development
Next.js, React, Tailwind CSS, HTML, CSS
Backend & Databases
FastAPI, PostgreSQL, Supabase, Prisma
DevOps & Tools
Git, Docker, Kubernetes, Vercel, GitHub Actions
Data Processing & Visualization
NumPy, Pandas, Polars, Matplotlib
Core Competencies
Critical Thinking, Problem-Solving, Teamwork
Languages
Portuguese (Native), English (Full Professional), Spanish (Intermediate)
Honors & Awards
- UvA MSc AI Travel Grant — To present a first-author paper at NeurIPS 2025.
- Academic Fellowship — Self-Learning Tools for Experimental Physics.
- Caixa Mais Mundo Scholarship — Merit award to top 1% Portuguese students in entrance exams.
- António de Oliveira Cadornega — Merit award to top-ranked science track student (2021), ESPHC.
- Bento de Jesus Caraça — Merit award to top-ranked student in Mathematics (2021), ESPHC.
Outreach & Service
- Developed DespesaPublica.pt, a civic-tech platform visualizing government spending and leveraging the Portuguese Web Archive.
- Created The Traitors, an LLM-based framework to study emergent behaviors in multi-agent simulations; shared open-source experiments.
- Released a million-scale near-axis plasma dataset for fusion ML, enabling reproducible research (Hugging Face).
- Led and volunteered in multiple initiatives: Team Leader at Web Summit 2024, ReFood Portugal volunteer, instructor for Python workshops (After School by TreeTree2).
- Active in student organizations at IST: NFIST website redesign, SET industry engagement, sponsor relations for the PSEM electric vehicle project.
Last updated: 2025