Julian Peller

Julian Peller is a lead data scientist with experience in working with remotely collected audio-visual recordings from ALS patients and control subjects. Julian has expertise in applying various Machine Learning and Deep Learning techniques for tasks such as distinguishing patients from controls and tracking progression on dimensions of ALSFRS-R. Julian also has experience in implementing financial models and forecasts, developing web scrapers, leading recommendation systems projects, and creating image moderation systems using convolutional networks. Additionally, Julian has taught courses on data science fundamentals and has a Master of Science degree in Computer Science from the University of Buenos Aires.