I developed strong communication skills through presentations, teaching, and collaborations. I like to present my work in seminars, adapting content and language to scientific or non-specialist audiences. Working in multilingual environments strengthened my ability to communicate in English and Italian at proficient levels. I use diverse format, slides, reports, code documentation, and emails, to convey ideas clearly. I mentor students and share methods, fostering knowledge transfer with a pedagogical approach. I also manage my digital presence through professional profiles and repositories, ensuring clarity and consistency in how my work is presented and accessed.

Research trained me to continuously analyze results, question assumptions, and compare my findings with those of collaborators and the literature. I regularly synthesize large amounts of information into clear models, figures, and summaries, focusing on what is essential for a given objective. Designing experiments and simulations taught me to prioritize variables and test hypotheses rigorously. Discussions with supervisors and peers help me challenge my own viewpoints and revise interpretations when evidence requires it. This practice developed intellectual rigor, openness to alternative perspectives, and the ability to think critically beyond fixed frameworks or dogma.

Working at the interface of physics, computation, and data science taught me to remain flexible and curious. I regularly learn new concepts and tools outside my initial training, from machine learning to materials science. Research encourages constructive doubt: I question models, explore alternatives, and test new ideas through simulations and experiments. I actively seek interdisciplinary collaborations and adapt to different scientific cultures in international environments. Moving between countries and teams strengthened my openness and cultural awareness. This context trained me to seize opportunities, innovate, and transform uncertainty into creative solutions.

My academic path taught me to identify what truly motivates me: curiosity, problem-solving, and the desire to contribute meaningful knowledge. Research naturally involves setbacks, failed simulations, negative results, or long debugging phases, which trained me to persist and adapt. I organize my work to handle routine tasks efficiently while keeping long-term goals in focus. Each difficulty becomes an opportunity to improve methods and understanding. I actively seek feedback from peers and supervisors, using their support to overcome obstacles. This environment strengthened my resilience, tenacity, and commitment to continuous progress and excellence.

My training as a researcher is grounded in strong ethical standards. I followed a dedicated course on research integrity and work environment, which clarified best practices in data handling, authorship, intellectual property, and conflict of interest; I also possess an attestation about it. In my daily work, I ensure transparency, reproducibility, and proper citation of others’ contributions. I respect institutional rules, confidentiality, and collaborative agreements. I document methods and results rigorously and communicate them honestly, including limitations. By aligning my actions with these principles, I build trust with collaborators and supervisors and contribute to a responsible and reliable research environment.

Balancing demanding research with personal life taught me to manage pressure and remain effective under stress. I learned to prioritize tasks, set realistic goals, and accept constructive opposition as a way to improve. Moving abroad and adapting to new academic cultures strengthened my ability to build on my strengths while addressing weaknesses. I separate work challenges from personal life by maintaining routines, physical activity, and clear boundaries. This helps me stay focused, resilient, and mentally available, even during intense periods, ensuring sustainable performance and well-being over time. I also followed a stress management course to better understand my limits and overcome difficulties.

Working in international and collaborative research environments taught me the importance of attentive listening and empathy. In group meetings and mentoring contexts, I make a conscious effort to understand others’ perspectives, constraints, and expectations before responding. I adapt my communication to different backgrounds and levels of experience, ensuring everyone feels heard and respected. Supporting peers during challenging phases of research helped me recognize signs of stress and offer constructive help. I regularly express gratitude for feedback and collaboration, fostering trust and positive working relationships. These experiences strengthened my ability to build supportive, respectful, and effective professional interactions.

In research projects, I frequently negotiate priorities, deadlines, and resource use with supervisors, collaborators, and peers. I learned to identify underlying needs behind requests, scientific goals, time constraints, or technical limits, by listening carefully and asking clarifying questions. Preparing meetings and gathering relevant information allows me to propose realistic options and trade-offs. Whether coordinating shared code, data access, or project directions, I aim to balance individual and collective objectives to reach constructive agreements. These experiences developed my ability to build consensus while respecting constraints and maintaining collaborative relationships.

I developed strong communication skills through presentations, teaching, and collaborations. I like to present my work in seminars, adapting content and language to scientific or non-specialist audiences. Working in multilingual environments strengthened my ability to communicate in English and Italian at proficient levels. I use diverse format, slides, reports, code documentation, and emails, to convey ideas clearly. I mentor students and share methods, fostering knowledge transfer with a pedagogical approach. I also manage my digital presence through professional profiles and repositories, ensuring clarity and consistency in how my work is presented and accessed.

Research trained me to continuously analyze results, question assumptions, and compare my findings with those of collaborators and the literature. I regularly synthesize large amounts of information into clear models, figures, and summaries, focusing on what is essential for a given objective. Designing experiments and simulations taught me to prioritize variables and test hypotheses rigorously. Discussions with supervisors and peers help me challenge my own viewpoints and revise interpretations when evidence requires it. This practice developed intellectual rigor, openness to alternative perspectives, and the ability to think critically beyond fixed frameworks or dogma.

Working at the interface of physics, computation, and data science taught me to remain flexible and curious. I regularly learn new concepts and tools outside my initial training, from machine learning to materials science. Research encourages constructive doubt: I question models, explore alternatives, and test new ideas through simulations and experiments. I actively seek interdisciplinary collaborations and adapt to different scientific cultures in international environments. Moving between countries and teams strengthened my openness and cultural awareness. This context trained me to seize opportunities, innovate, and transform uncertainty into creative solutions.

My academic path taught me to identify what truly motivates me: curiosity, problem-solving, and the desire to contribute meaningful knowledge. Research naturally involves setbacks, failed simulations, negative results, or long debugging phases, which trained me to persist and adapt. I organize my work to handle routine tasks efficiently while keeping long-term goals in focus. Each difficulty becomes an opportunity to improve methods and understanding. I actively seek feedback from peers and supervisors, using their support to overcome obstacles. This environment strengthened my resilience, tenacity, and commitment to continuous progress and excellence.

My training as a researcher is grounded in strong ethical standards. I followed a dedicated course on research integrity and work environment, which clarified best practices in data handling, authorship, intellectual property, and conflict of interest; I also possess an attestation about it. In my daily work, I ensure transparency, reproducibility, and proper citation of others’ contributions. I respect institutional rules, confidentiality, and collaborative agreements. I document methods and results rigorously and communicate them honestly, including limitations. By aligning my actions with these principles, I build trust with collaborators and supervisors and contribute to a responsible and reliable research environment.

Balancing demanding research with personal life taught me to manage pressure and remain effective under stress. I learned to prioritize tasks, set realistic goals, and accept constructive opposition as a way to improve. Moving abroad and adapting to new academic cultures strengthened my ability to build on my strengths while addressing weaknesses. I separate work challenges from personal life by maintaining routines, physical activity, and clear boundaries. This helps me stay focused, resilient, and mentally available, even during intense periods, ensuring sustainable performance and well-being over time. I also followed a stress management course to better understand my limits and overcome difficulties.

Working in international and collaborative research environments taught me the importance of attentive listening and empathy. In group meetings and mentoring contexts, I make a conscious effort to understand others’ perspectives, constraints, and expectations before responding. I adapt my communication to different backgrounds and levels of experience, ensuring everyone feels heard and respected. Supporting peers during challenging phases of research helped me recognize signs of stress and offer constructive help. I regularly express gratitude for feedback and collaboration, fostering trust and positive working relationships. These experiences strengthened my ability to build supportive, respectful, and effective professional interactions.

In research projects, I frequently negotiate priorities, deadlines, and resource use with supervisors, collaborators, and peers. I learned to identify underlying needs behind requests, scientific goals, time constraints, or technical limits, by listening carefully and asking clarifying questions. Preparing meetings and gathering relevant information allows me to propose realistic options and trade-offs. Whether coordinating shared code, data access, or project directions, I aim to balance individual and collective objectives to reach constructive agreements. These experiences developed my ability to build consensus while respecting constraints and maintaining collaborative relationships.