Hematology
I am building a stronger foundation around hematology-related questions, including lymphoma and other closely related clinical topics.
Clinical Medicine Student
This website is where I gather my medical studies, research interests, and growing work in data analysis. Rather than reading like a resume, I want it to feel like a real personal website that grows with my questions, training, and academic direction.
I am a logic- and data-driven student in the Clinical Medicine ("5+3" integration) program. Rather than abstract theories, I focus on underlying mechanisms. Clinically, I investigate the prognosis and data mining of Diffuse Large B-cell Lymphoma (DLBCL); in basic research, I use zebrafish models for cardiotoxicity. Additionally, I utilize Python/R for data analysis, learn German to broaden my perspective, and am learning HTML/CSS to build this site, expressing my academic journey through structured code.
I want one evolving space that brings together my research interests, study process, and web-building practice, so the site can document both what I study and how I am learning to present it through code.
My current interests can be grouped into three directions, which may later expand into project pages, learning notes, or paper summaries.
I am building a stronger foundation around hematology-related questions, including lymphoma and other closely related clinical topics.
I am interested in chemotherapy-induced cardiotoxicity and experimental models such as zebrafish embryos.
I use Python and R to build data-processing habits and a more structured way of working with clinical information.
My current path is centered on clinical medicine, while I continue linking coursework, research training, and longer-term academic interests.
I am building a basic toolkit that supports study, research, and personal expression.
This section can later include email, institutional information, lab pages, or any other point of contact that fits the site.