We are thrilled to share a momentous achievement within Lazy Dynamics. Our co-founder, Dmitry Bagaev , has successfully defended his thesis on “Reactive Probabilistic Programming for Scalable Bayesian Inference” on December 19, 2023.
Dmitry’s groundbreaking research delves into the challenges of implementing Bayesian inference in large-scale probabilistic models used across various signal processing applications. His work addresses the computational complexities associated with high-dimensional latent spaces and non-stationary environments, proposing an innovative architecture based on reactive message passing in factor graph representations.
This approach not only enhances the efficiency and practicality of Bayesian inference but also introduces a unique reactive programming style implementation for message passing. Dmitry’s dedication has resulted in the development of RxInfer, a powerful software framework supporting hybrid variational inference processes. The practical application of RxInfer in real-world scenarios has led to publications in reputable journals.
Dmitry’s dissertation provides a solid foundation for scalable and efficient online Bayesian inference, offering improved speed, robustness, and adaptability compared to existing frameworks. This accomplishment is a testament to Dmitry’s hard work, innovation, and the commitment of Lazy Dynamics to advancing the frontiers of probabilistic programming.
Please join us in congratulating Dmitry on this remarkable achievement. We look forward to witnessing the continued impact of his research on the field and its applications within Lazy Dynamics.
Congratulations, Dmitry, on reaching this significant milestone!