About Me

Beyond my academic pursuits, I have a variety of interests that help shape my perspective, inspire my research and ultimately who I am. 

I have a deep passion for music, being fascinated in music theory, production and in performing it. I enjoy playing the guitar, which provides a creative outlet and a balance to my studies. Music has always been a source of inspiration and relaxation, being an important part of my life.

I am also intrigued by the intersection of technology and neuroscience, particularly how advancements in artificial intelligence and machine learning can enhance our understanding of the brain. This has lead to a curiosity on the role technology can play with the neuroscience behind neurodegenerative diseases.

In my free time, I enjoy reading about philosophy and quantum physics. This is because I see learning about quantum physics as if it's a logical puzzle that I can solve to help my understanding. As an intuitive thinker and I absolutely adore topics that I can visualize to understand all of the mechanisms correctly. 

My interest in intuitive thinking and quantum physics began at a young age, sparked by my first encounter with Schrödinger's cat. At around 9-years-old, I created a visual representation in an attempt to visualize the concept, which helped me understand the abstract idea in a tangible way. This experience shaped my approach to learning, as I now regularly seek ways to visualize complex concepts, allowing me to break down difficult ideas and engage with them more deeply. This method of visualizing mechanisms has been invaluable in both my academic studies and research, particularly in neuroscience.

Academic Skills:

• Critical Thinking: Ability to analyze theories and concepts intuitively.

• Research Skills: Experience with literature reviews, formulating research questions, and basic data analysis.

• Writing Skills: Proficiency in writing essays, reports, and research summaries.

Technical Skills:

• Basic Statistical Analysis: Familiarity with tools like SPSS, or Excel for simple data analysis.

• Programming: Basic understanding of Python for data science, with a focus on applications in neuroscience, having completed an independent course on the subject.

• Microsoft Office: Proficiency in Word, PowerPoint, and Excel for creating documents, presentations, and data handling.

Personal Skills:

• Time Management: Ability to balance university coursework and independent research.

• Communication: Effective verbal and written communication skills.

• Problem-Solving: Ability to approach challenges analytically and creatively.