Martí Pedemonte Bernat

Built a solver-independent sparse LP/MILP formulation covering day-ahead, intraday and ancillary services with configurable contractual and physical constraints. It solves 10-year hourly optimisations in under 15 seconds.

Modelled intrinsic and extrinsic gas-storage value and market-compatible hedges using LP/MILP and Monte Carlo. Designed the MATLAB object-oriented architecture and a Snowflake schema with 20+ tables, and automated deal capture, monitoring and data pipelines.

Developed asset-specific capture-rate and valuation methods incorporating technology, region and contractual structure. Added contract-specific methodologies, independent benchmark validation and automated Looker reporting to improve PPA valuation accuracy and robustness.

Built on my Master's thesis within the Particle Physics Collaboration at MIT, under the supervision of Prof. Dr. Christoph M. E. Paus and Dr. Mariarosaria D'Alfonso. The work included statistical modelling, signal/background discrimination and collider-data analysis.

March 2021 - January 2022: Development of ML software to assist in prescribing treatments for the fertility company Fertypharm.

The project was a collaboration between the Bosch i Gimpera Foundation and the Department of Electronics and Biomedical Engineering of the Universitat de Barcelona, supervised by Dr. Manel López. We developed a software that used machine learning techniques, such as classifiers and regressors, to predict the most effective treatment to maximize the chances of a patient having a positive fetal heart rate after in vitro fertilization. The software was primarily programmed in Python.

December 2019 - July 2021: Assembly of an apparatus for producing and detecting polarization-entangled photons.

The project took place in the Department of Quantum Physics and Astrophysics of the Universitat de Barcelona, under the supervision of Dr. José Maria Gómez. The setup was based on a paper by D. Dehlinger and M. W. Mitchell, that aimed to violate the CHSH Bell inequality as the authors did in a previous paper. We designed and built the coincidence electronic circuit, programmed a microcontroller to count coincident photons and aligned the optical elements to produce and detect the polarization of the photons.

September 2019 - July 2020: Study of ITO nanowires grown on silicon substrates, resulting in co-authorship of a published paper.

The project was conducted in the Department of Electronics and Biomedical Engineering of the Universitat de Barcelona and was supervised by Dr. Manel López. We grew Indium Tin Oxide (ITO) on a silicon substrate via electron beam evaporation (EBE) and studied the properties of the nanowires formed. We analyzed the structures created in different initial conditions (changing the atmospheric composition of the chamber, the temperature and the time of exposition). The understanding of the properties of these structures is relevant to the construction of biomedical sensors.

Modelled the temperature difference $\Delta T$ between an electric heating element tube and surrounding molten salts using the applied charge $Q$, tube temperature and molten-salt flow velocity $v$. The analysis used Python and Excel.

ECTS Credits: 30 Grade: 6/6

ETH Physics' Master's Thesis conducted at MIT, under the supervision of Prof. Dr. Christoph M. E. Paus, Prof. Dr. Günther Dissertori and Dr. Mariarosaria D'Alfonso, on rare decays of the Higgs boson into a photon and a vector meson.

A search for the exclusive decays of the Higgs boson to a photon and either a $\phi\mbox{(1020)}$, $\omega\mbox{(782)}$ or $\mathrm{D}^{*}\mbox{(2007)}^{0}$ meson was conducted. The analysis was performed with a pp collision data sample corresponding to an integrated luminosity of $\mbox{39.54}$ $\mathrm{fb}^{-1}$ collected at $s^{\frac12}=\mbox{13 TeV}$ with the CMS detector at the Large Hadron Collider (LHC) in 2018 during Run 2. Four decay channels were explored: $\mathrm{H}\to \phi\gamma$ with further $\phi\to \pi^+\pi^{-}\pi^0$, $\mathrm{H}\to \omega\gamma$ with further $\omega\to \pi^+\pi^-\pi^0$, $\mathrm{H}\to \mathrm{D}^{*0}\gamma$ with further $\mathrm{D}^{*0}\to \mathrm{D}^{0}\pi^{0}/\gamma$, $\mathrm{D}^{0}\to K^{-}\pi^{+}$ and $\mathrm{H}\to \mathrm{D}^{*0}\gamma$ with further $\mathrm{D}^{*0}\to \mathrm{D}^{0}\pi^{0}/\gamma$, $\mathrm{D}^{0}\to K^{-}\pi^{+}\pi^{0}$. Estimated upper limits at a 95% confidence level on the branching fractions of the four Higgs boson decay modes were obtained.

ECTS Credits: 90 GPA: 5.73/6
Courses taken:

• Quantum Field Theory I & II
• Phenomenology of Particle Physics I & II
• General Relativity
• Introduction to String Theory
• The Standard Model of Electroweak Interactions
• Proseminar in Relational Quantum Mechanics
• Semester Project in Beyond the Standard Model EFTs

Master Thesis (30 ECTS) conducted at MIT on rare decays of the Higgs boson.

ECTS Credits: 240 GPA: 9.3/10
Excellent with honours in:

• Basic Digital Design
• Software Design
• Data Structure
• Advanced Algorithms
• Artificial Vision
• Workshop on New Uses of Computers
• Embedded Systems Programming
• Operating Systems I
• Operating Systems II
• Networks
• Human Factors and Computing
• Graphics and Data Visualization

Final project (18 ECTS): "Algorithmic Causal Effect Identification", grade: 10/10. Developed the causaleffect Python package for identifying causal effects via do-calculus; it has been used and cited in academic research. See the arXiv technical report.
Awarded the Extraordinary Degree Award.
Awarded the Joaquim Font Award for the best academic record.

ECTS Credits: 240 GPA: 8.4/10
Excellent with honours in:

• Introduction to Differential Calculus
• Graphs
• Topology and Global Differential Geometry of Surfaces

Final project (18 ECTS): "Global Dynamics of Newton's Method for Complex Polynomials", grade: 9.7/10.

ECTS Credits: 240 GPA: 8.5/10
Excellent with honours in:

• Differential Equations and Vector Calculus
• Mathematical Methods for Physics II
• Quantum Physics
• Solid State Physics
• Classical Electrodynamics
• Quantum Mechanics
• Atomic Physics and Radiation

Final project (6 ECTS): "Machine Learning Approach to the Inverse Ising Problem", grade: 8.9/10.