Daniel holds a degree in Physics and a M. Sc. in Data Science. He is currently a PhD student under the tutelage of David Gómez-Ullate. Daniel’s research focuses on the many applications of Machine Learning to industrial problems. His wish is to aid employees with task-specific AIs that assist them in otherwise repetitive and time-consuming task. He also aims for using his data science skills to extract relevant information from the industry data.