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Nicolás de Lucas SanzNS
Open to opportunities

Nicolás de Lucas Sanz

@nicolsdelucassanz

Research fellow specializing in Mathematics and Machine Learning.

Spain
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What I'm looking for

I am looking for opportunities that foster growth in research and application of mathematics.

I am a dedicated research fellow with a strong foundation in Mathematics and Machine Learning, currently working at the Institute of Mathematical Sciences in Madrid. My journey in academia has been marked by significant achievements, including a 7-month fellowship focused on deep neural networks and optimization algorithms. I have developed a keen interest in applying mathematical concepts to real-world problems, particularly in the realm of machine learning.

Throughout my academic career, I have excelled in my studies, earning a Master’s Degree in Advanced Mathematics with an impressive average grade of 9.11/10. My Bachelor’s Degree thesis on electrostatic potentials not only garnered top honors but also led to new discoveries in the field. I am passionate about research methodology and complex problem-solving, which I have honed through various internships and tutoring experiences.

In addition to my academic pursuits, I have contributed to the field through publications and participation in seminars. I am fluent in both Spanish and English, and I possess strong communication skills that enhance my ability to collaborate effectively. I am eager to continue my journey in academia or industry, where I can leverage my skills and knowledge to make a meaningful impact.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Complutense University of Madrid logoCM

Complutense University of Madrid

Master’s Degree, Mathematics

2023 - 2024

Grade: 9.11/10

Pursued a Master’s Degree in Advanced Mathematics with a focus on Hodge Theory. Achieved an average grade of 9.11/10 and completed a Master’s Thesis under the supervision of Vicente Muñoz Velázquez, receiving a grade of 9/10.

University of Cantabria logoUC

University of Cantabria

Bachelor’s Degree, Mathematics

2019 - 2023

Grade: 8.66/10

Completed a Bachelor’s Degree in Mathematics, focusing on Electrostatic Potentials on the Euclidean Space for the Bachelor’s Thesis. Achieved an average grade of 8.66/10 and graduated with honors.

Tech stack

Software and tools used professionally

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