I am a deep learning engineer working on foundation models and optimizing CUDA kernels. Part-time at sigmafund, I help build quant research and trading infrastructure, markov models to predict forex market regimes and mid-frequency quant strategies.
I created an unsupervised algorithm that can identify sleep stages in mice by analyzing EEG and EMG signals. This method automates the sleep classification process, removing the need for manual scoring, which saves researchers a lot of time and speeds up sleep research.