Hello,

I am a PhD candidate at the Neuroengineering Laboratory at EPFL, the Swiss Federal Institute of Technology in Lausanne. I am interested in developing robotic controllers inspired by how animals execute movements. To this end, I build artificial neural networks based on how neurons wire in the common fruit fly, whose brain and nerve cord have recently been fully mapped. I hope these models will offer insights into neurobiology and inspire more efficient neural architectures for robotics and AI. I am a Boehringer Ingelheim Fonds PhD fellow.

Before NeuroAI, I was Chief Research Officer at HabiTerre, a startup focused on ecosystem modeling and sustainability benchmarking. I led an NSF-funded project, as Principal Investigator, to build generative machine learning models to quantify farmland resilience using satellite images. I was also awarded a USDA grant for smart irrigation.

Even earlier, I spent my undergraduate years building machine learning models for observational astronomy. I helped develop models to detect gravitational waves and estimate their parameters for the Laser Interferometer Gravitational-Wave Observatory (LIGO). I also contributed to developing machine learning models to curate data for the Dark Energy Survey (DES).