In this episode, we chat with Mihaela Rosca, a Research Engineer at DeepMind, whose career journey has taken her from a Software Engineer role at Google Zurich, where she specialized in Natural Language Processing (NLP) using neural networks, to pursuing her PhD at University College London (UCL) under the mentorship of Professor Marc Deisenroth. Mihaela's academic and professional journey began with her completing a four-year Computing MEng degree at Imperial College London in 2014, where she graduated with first-class honours and was awarded for her exceptional overall performance. Her professional interests span a wide range of topics within the realm of machine learning, including generative models, reinforcement learning, NLP, and the broader goal of making machine learning scalable and safe. Mihaela is deeply fascinated by the study of probability distributions and their applications in learning models. This episode is brought to you by Bedrock, a boutique firm specializing in Data Science and AI. Our podcast, "Data Stand-up," aims to disseminate scientific knowledge and technical expertise related to our work with clients. We invite guests to share their experiences, learnings, and accomplishments, contributing to a richer knowledge exchange within the community.