CV

PhD in Physics, IFAE (2021–2025)
Thesis: Searches for primordial black holes using gravitational waves data
Member of the Virgo and Einstein Telescope collaborations. Final grade: Cum Laude
M.Sc in Financial Risk Management, UNIR (2023–2024)
Thesis: Sobre el efecto de modelos de volatilidad no lineales en la ecuación de Black-Scholes para la valoración de opciones (On the effect of non-linear volatility models in Black-Scholes equation for option valuation)
Final grade: 9.72 / 10
M.Sc in High Energy Physics, Astrophysics & Cosmology, UAB (2020–2021)
Thesis: Searches of gravitational waves from asymmetric compact binary coalescence events using CNNs Final grade: 8.60 / 10
B.Sc in Economics, UOC (2017–2023)
Thesis: On the usage of option contracts to maximize revenues under value investing axioms Final grade: 8.79 / 10
B.Sc in Aerospace Technologies Engineering, UPC (2016–2020)
Thesis: Simulation of planetary atmospheres Final grade: 8.87 / 10 | Graduated 2nd out of 65 students

Postdoctoral Researcher, IFAE, Barcelona (Apr. 2025 – Present)
Gravitational wave data analysis, focusing on PBHs and scattered light.
Visiting Researcher, MIT, Cambridge, USA (Sep.–Oct. 2024)
LIGO-MIT, under Dr. Lisa Barsotti – scattered light noise estimation.
Visiting Researcher, Caltech, Pasadena, USA (Oct.–Dec. 2022)
LIGO-Caltech, under Dr. Hiro Yamamoto – scattered light noise estimation.
Visiting Researcher, European Gravitational Observatory, Italy (Oct.–Dec. 2021)
Commissioning Virgo’s instrumented baffle for scattered light monitoring.
Undergraduate Researcher, UPC Physics Dept. (2018–2020)
Atmospheric dynamics simulation and high-performance computing.
Research Stay, ICFO – Quantum-Nano Photonics Group (2017)

Associate Professor:

EADA Business School (Jan. 2024 – Present)
Master level courses:
- Business Analytics for Fintech
- Data Analytics in Sustainability
- Quantitative Finance with Python
Toulouse Business School – TBS (Nov. 2024 – Present)
Master level courses:
- Introduction to AI for Finance
- Advanced AI for Finance with Python

Data Analyst, Baboon Technologies (Jun. 2021 – Jun. 2024)
Developed quantitative models for financial and macroeconomic data analysis.

Mentored the daily developments of the following Master Theses:

Study of primordial black holes using GW detectors – Elisabet Vallejo, UB (2024–Present)
GW detection using deep learning in LIGO/Virgo – Roberto Rodiño, UAB (2022)
Reduced Order Models for GW using ML – Miquel Santasusana, UAB (2022)