I’m currently working as a temporary machine learning researcher at the University of Cambridge with the Energy and Environment Group.

I also recently completed the Advanced Computer Science master’s course at Cambridge, having graduated the year before with a bachelor’s degree in Computer Science from Brown University.
Although I was, during my undergraduate years, interested in a variety of topics in computer science (from operating systems and cryptography to robotics and computer vision), at Cambridge, however, I chose to focus entirely on machine learning. My master’s thesis investigated how semantic embeddings can be used to evaluate the “walkability” of streets and neighborhoods, and how those assessments can be incorporated into a new path-finding framework.

My previous work experience includes internships at a US-based startup, where I developed a cost-minimizing retrieval-augmented generation (RAG) system for a large-scale database; at Lifespan and Alpert Medical School (Brown University) under the supervision of Dr. Zhicheng Jiao, where I worked on a transformer-based model for detecting aortic aneurysms; and at a Czech crypto-based lending marketplace startup, where I worked on all sorts of things. My full CV can be accessed here.

When I don’t work on my computer science projects, I enjoy reading books and art. I have also spent twelve years rowing on a competitive level. I was a member of the Czech National Team for four years, and was selected to the collegiate All-American team four times while studying in the US. Recently, I was very fortunate to win the 2025 Boat Race against Oxford, which stands as my proudest rowing achievement.