Natasha Jaques is a talented PhD candidate with a passion for affective machine learning, deep learning, and reinforcement learning. From the University of British Columbia to the Massachusetts Institute of Technology, Jaques has been a dedicated academic, spending years working on her Bachelor's and Master's degrees before pursuing a PhD, all within computer science and psychology. Jaques has also held several internship positions, including for DeepMind, Google Brain, and Google. Additionally, Jaques has experience as a graduate teaching assistant and program manager intern, among other roles. Her impressive background in computer science and psychology, as well as her diverse work experience, have helped shape her expertise in several fields.