À propos
Mirian Hipólito García holds a Bachelor’s degree in Digital Systems and Robotics Engineering from Tecnológico de Monterrey, earned in 2020. During her studies, she developed a strong foundation in control systems, embedded software, and intelligent automation. She began her career in the automotive sector, where she worked on projects involving autonomous vehicles, robotics, and industrial automation.
In 2021, she joined Microsoft Research as a Research Software Engineer in the Privacy in Artificial Intelligence Team focusing on improving adaptability and privacy in decentralized, multitask learning environments.
In 2023, Mirian transitioned to her current role as a Researcher II on the M365 Efficient AI team. Her work spans model-level innovation and AI systems design, with a strong emphasis on domain adaptation, mixture-of-expert strategies, and adaptive routing techniques for large language models. More recently, her focus has shifted to model-level innovations, where she explores architectural and algorithmic improvements to optimize inference efficiency and memory usage in large language models. She is particularly interested in task and domain adaptation, mixture-of-experts architectures, and techniques that enable scalable, efficient AI systems for real-world applications.