I am a rising fourth-year Applied Mathematics and Computer Engineering (Systems Concentration) double major at UC Santa Cruz. In addition to being a native German speaker, my technical expertise is primarily in Python, C, and C++, with a strong foundation in scientific computing, machine learning, and high-performance computing.
Currently, I am a Machine Learning Intern at NASA Jet Propulsion Laboratory, where I am building a training dataset from Mars orbital imagery and rover navigation pictures. The goal is to develop a foundational model for Mars — enabling Martian image captioning, detection of scientifically significant images, and ultimately a lightweight onboard model capable of autonomous image analysis under severe downlink bandwidth constraints.
I also continue as an undergraduate researcher and SciAI Pathways Scholar in Dr. Marcella Gomez's ARO Lab at UC Santa Cruz, where I am actively working on wound-healing prediction and classification with HealNet.
My previous research in Neuromorphic Computing explored aligning Spiking Neural Networks with biological latent manifolds using JEPA.
Beyond research and academics, I spend my time cooking, hiking, and maintaining some open source projects. Please check out my work on: Github or explore my projects here!