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CV

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đź“„ Me at a glance!
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Education #

  • MSc in Informatics and Computing Engineering
    Faculty of Engineering, University of Porto
    Sept 2022 – Jul 2024 | Top 10 % (19/20) Thesis on physics‑informed neural network surrogates for space weather forecasting.

  • MSc in Computer Science and Engineering (AI Track)
    Erasmus+, Politecnico di Milano
    Sept 2023 – Feb 2024 | 29.8/30

  • BSc in Informatics and Computing Engineering
    Faculty of Engineering, University of Porto
    Sept 2019 – Jul 2022 | 19/20

Experience #

PhD Candidate #

Technical University of Munich, Multiscale Modeling of Fluid Materials
Mar 2025 – Present | Munich, Germany

  • Conducting research on machine‑learning prediction of peptide supramolecular self‑ and co‑assembly, exploring the peptide space to design new biomaterials.
  • Head teaching assistant for graduate and undergraduate machine‑learning courses.

Data Scientist #

Prima Assicurazioni
Dec 2024 – Feb 2025 | Barcelona, Spain

  • Developed price‑optimization models for insurance policy renewals, contributing to a reported 7 % improvement in loss‑ratio.
  • Created a causal‑inference proof‑of‑concept to assess customer price sensitivity.

Machine Learning Researcher #

LIACC – Laboratory of Artificial Intelligence and Computer Science
Jan 2024 – Oct 2024 | Porto, Portugal

  • Built physics‑informed neural network and neural operator surrogates for space weather models, reducing simulation time from hours to milliseconds.
  • Operational deployment of the surrogate models; initial results published at ESANN 2024 with further publications forthcoming.

Teaching Assistant #

Faculty of Engineering, University of Porto
Feb 2022 – May 2024 | Porto, Portugal

  • Tutored courses including Theory of Computation, Algorithms and Data Structures, Artificial Intelligence, and Algorithm Design.
  • Developed supplementary exercises and project assignments.

Full‑Stack Development Intern #

Jumpseller
Jun 2023 – Sep 2023 | Porto, Portugal

  • Co‑developed an email marketing automation tool that enabled merchants to build targeted campaigns; the tool has been used to send more than 50k emails across 400 custom automations.

Quantum Computing Researcher #

Nov 2021 – Dec 2022

  • Explored metamorphic testing approaches for verifying quantum algorithms; authored “Asserting the correctness of Shor implementations using metamorphic testing”.

Skills #

Programming Languages: Python, C/C++, JavaScript, SQL
Libraries & Frameworks: PyTorch, TensorFlow, Jax, Pandas, SciPy, scikit‑learn, NumPy

Awards & Scholarships #

  • Outstanding MSc Thesis Award, IEEE Portugal Section (2024)
  • Best Master Thesis Award, Vestas & University of Porto (2024)
  • National Merit Scholarship, DGES (2022)
  • Incentive Prize, University of Porto (2020)
  • New Talents Program in Quantum Technologies, Gulbenkian Foundation (2021)

Certifications #

  • IELTS (C1) – British Council (Oct 2023) – Score 8/9
  • Quantum in the Summer – Introduction to Quantum Computing – Radboud University (Aug 2022)
  • Artificial Intelligence Summer School – CentraleSupĂ©lec, UniversitĂ© Paris‑Saclay (Jun 2022)

Languages #

  • English – Fluent
  • Portuguese – Native
  • German – Elementary

Contact #

Email: nuno.costa@tum.de
LinkedIn: biromiro
GitHub: biromiro