Atiyo Ghosh
About Atiyo Ghosh
Atiyo Ghosh is a Research Scientist with a background in mathematical biology and natural sciences. He has held positions at various institutions, including Imperial College London and PASQAL, and has a strong interest in stochastic processes and machine learning.
Current Position at PASQAL
At PASQAL, Atiyo Ghosh serves as a Research Scientist since 2022. In this role, he focuses on theoretical developments and applications of likelihood-free inference and deep generative models. His work contributes to advancing the understanding and implementation of complex computational methods in various scientific fields.
Previous Experience at Qu & Co
At Qu & Co, Atiyo Ghosh worked as a Research Scientist for a duration of 9 months from 2021 to 2022. His responsibilities included conducting research in quantum computing and its applications, contributing to the company's innovative projects during his tenure.
Academic Visitor at Imperial College London
Since 2022, Atiyo Ghosh has been serving as an Academic Visitor at Imperial College London. This position allows him to collaborate with leading researchers and engage in advanced studies related to his interests in stochastic processes and machine learning.
Educational Background in Natural Sciences
Atiy Ghosh holds a Doctor of Philosophy (Ph.D.) in Mathematical Biology from Leiden University. He also earned a Master's Degree in Natural Sciences (Physics) and a Bachelor's Degree in Natural Sciences (Physics) from the University of Cambridge. His educational background provides a strong foundation for his research in complex systems.
Research Interests and Focus Areas
Atiy Ghosh explores the intersection of stochastic processes, machine learning, and non-linear dynamics, focusing on their applications in industrial and biological contexts. His research emphasizes the middle-ground between stochastic processes and dynamical systems, contributing to advancements in likelihood-free inference and deep generative models.