I recently completed my Master’s in Data Science at Ecole Polytechnique Fédérale de Lausanne. I was fortunate to interned at Apple Machine Learning Research in California under the leadership of Samy Bengio. I was working with Ronan Collobert and his amazing team on efficient training and inference of Large Language Models (LLMs).

I also was lucky to serve as a research assistant at the Mathis Laboratory of Adaptive Intelligence, led by Prof. Mackenzie Mathis, during my Master’s. My work was focused on self-supervised pre-training on neural and behavioral data in collaboration with Steffen Schneider and on foundation models for animal pose estimation with Shaokai Ye.

Previously, I was a Quantitative Research Intern at WorldQuant, where I specialized in fine-tuning LLMs using proprietary financial data.

I earned my BSc in Applied Mathematics and Physics from the Moscow Institute of Physics and Technology. During my undergraduate studies, I was an AI/ML Researcher at the Machine Intelligence Lab, focusing on training and deploying AI models on wearable devices like phones, fitness watches, and trackers.

My areas of interest include efficient training, fine-tunining and inference of large models, self-supervised learning and identifiable representation learning. I am also passionate about AI4Science, encompassing applications in neuroscience, biology and physics.

I am pasionate about making AI efficient and accesible to everyone.

You can know more about me here: anastasiia.filippovaa@gmail.com.