I'm a computational scientist with over a decade of experience in medical imaging data analysis, specializing in X-ray CT and Nuclear Medicine Imaging. Over the years, my career has evolved into a deep focus on data visualization—bridging the gap between complex data and clear & impactful communication.
At UCSF, I fully integrated Python into my research workflow, gaining a strong appreciation for its robust open-source ecosystem. I became particularly drawn to tools that support data analysis, processing, and predictive modeling, which continue to be central to my work.
Currently on sabbatical and exploring a new creative outlet: illustration. This passion has since grown into a unique skill set in data visualization, where I combine scientific precision with design thinking to tell compelling visual stories with data.
I’m known for adapting quickly to new tools and technologies, and I thrive at the intersection of analytical depth and visual clarity. I'm currently exploring opportunities in data analysis and visualization where I can apply this unique blend of technical expertise and creative insight to make data more accessible and actionable.
𝗥𝗲𝘀𝘂𝗺𝗲 𝗦𝘂𝗺𝗺𝗮𝗿𝘆:
Data visualization specialist with 10+ years in computational science and medical imaging. Expert in Python-based data analysis and predictive modeling. Combines analytical precision with design thinking to create clear, impactful visualizations. Known for rapid learning, creative insight, and making complex information accessible.