Martin Juan José Bucher is a PhD Student at Stanford University and part of the Gradient Spaces Lab under Prof. Dr. Iro Armeni. He is currently based in Palo Alto, California (US). Before crossing the Atlantic ocean to start this journey, he worked as a Research Assistant (2023) at ETH Zurich in the Circular Engineering for Architecture (CEA) lab under Prof. Catherine De Wolf, fusing ideas from both Computer Vision and Circular Engineering. Martin graduated with an MSc in Computer Science from ETH Zurich (2022) with a focus on Machine Perception and Deep Learning — and further conducted research during his Master’s Thesis on Performance-Based Generative Design. Before joining ETH Zurich, he graduated with an BSc in Informatics (2019) from the University of Zurich (UZH).

In the past, he worked as a Full-Stack Software Engineer in Zurich (2017-2018) and was further involved (2020-2022) as a Research Assistant at the Chair for International Relations and Political Economy (IRPE) at the Department of Political Science at UZH, focusing mainly on Natural Language Processing (NLP) problems using Large Language Models (LLMs) and Transfer Learning. Further, he was a Research Assistant in the field of Automated Surgery Planning within the Research in Orthopedic Computer Science (ROCS) group at Balgrist University Hospital (2022) during his civilian service in Switzerland. He also worked on various smaller side projects on his own and has been on a journey with Tinystudio, a company he co-founded back in 2012.

Besides all this, Martin enjoys being outdoors in nature, doing sports such as hiking or climbing, watching arthouse cinema, and mixing music he finds interesting as a DJ. He is further trying to step into photography as well and you can find a sparse selection from his photographic archive on Instagram. He can also be found on Twitter, LinkedIn, and Telegram. If you want to reach him in a timely manner, good old email usually works best.