Electrical Engineer
Building at the intersection of hardware and intelligence, from high-power electronics to computer vision.
Fourier synthesis · signal reconstruction
I am currently at Stanford University finishing my Master's thesis in Electrical Engineering. My training is rooted in ETH Zürich and Seoul National University, and my work spans from high-power electronics to advanced computer vision.
When not in the lab, you can find me in the mountains: sailing, climbing, or exploring the natural world.
During my internship at Ergon Informatik I co-developed evaluation strategies for AI in production. These talks share what we learned.
September 2025 · University of Warwick, UK
Talk at the Research Software Engineering Conference (RSECon25). Abstract · Recording
September 2025 · School of Management Fribourg
Show-and-tell session at the EnhanceR Symposium.
2022 – Present
Design and operation of an 820V / 250kW high-power battery system. Development of BMS hardware and embedded software.
Diffusion-based reconstruction of occluded anatomy in spinal radiographs. Trained on synthetic data, validated on clinical X-rays.
Lifting the MOBIUS 2D foundation model into efficient monocular 3D object detection via depth-guided transformers and dense depth distillation from DepthPro.
Investigation of integer softmax quantization for transformer networks. Achieved usable 4‑bit precision through optimized scaling and input shifting.