About

Thang Doan is a highly skilled Research Scientist with a strong background in ML and Deep Learning. Currently working at Bosch Research, he has over 3 years of relevant experience in the field. Thang completed his Doctor of Philosophy in Operation Management at McGill University's Desautels Faculty of Management in 2019. He also holds an MSc in Mathematical Modelling from UCL and a French Engineering Degree in Mechanical Engineering from Arts et Métiers ParisTech - École Nationale Supérieure d'Arts et Métiers. Thang has worked with several renowned companies in the past, including MILA - Quebec Artificial Intelligence Institute and Rubikloud Technologies. At Rubikloud, he developed a model to generate realistic baskets of items for customers based on their past transactional data. He also worked as a Postdoctoral Researcher at MILA, where he gained valuable experience in the field of AI. Thang is highly proficient in various technologies, including Research Scientist, ML, and Deep Learning. He has an excellent track record of delivering high-quality solutions and has a strong ability to work both independently and collaboratively. Thang is a quick learner and has excellent problem-solving skills, making him a valuable asset to any team. With his extensive experience in the field, Thang is committed to staying up-to-date with the latest advancements in ML and AI.