I am a PhD student in machine learning at Stanford University. I am currently working on 3D diffusion models with Prof. Gordon Wetzstein and I am broadly interested in generative AI. My undergrad was in Mathematics at LMU Munich, where I was a research assistant at Prof. Gitta Kutyniok’s chair for Mathematical Foundations of AI and helped coordinate the DFG-funded priority program “Theoretical Foundations of Deep Learning”. Moreover, at UC Berkeley I was advised by Prof. Song Mei and conducted research with Prof. Bruno Olshausen from the Redwood Center through Machine Learning at Berkeley.
Last summer, I was a quantitative trading intern at Jane Street and for the past 2 years I was working as a part-time software engineer at the startup Fulfin. Currently building Intern Chat.
Stanford University, 2022 - present
Ph.D. Student, Electrical Engineering
University of California, Berkeley, 2021
LMU Munich, 2019 - 2022
B.Sc. in Mathematics & Computer Science