About Me
I am a researcher and engineer working at the intersection of machine learning, aerospace systems, and computational geometry. My work spans large-scale ML systems for content understanding and recommendation, geometric modeling of complex structures, and data-driven modeling of physical and dynamical systems.
Currently, I lead R&D initiatives at Axya (Montréal), where I design and deploy production-scale ML pipelines, multimodal generative systems, and recommendation engines that power supplier discovery and process automation. In this role I work with major industrial customers in aerospace and manufacturing on data analysis, decision support, and automation.
I completed my PhD in Mechanical Engineering at McGill University with Prof. Yaoyao Fiona Zhao, focusing on geometric modeling and generative design for heterogeneous lattice structures and metamaterials. Before that, I obtained my MSc at the Skolkovo Institute of Science and Technology in a program developed under the MIT-Skoltech Initiative, with close ties to MIT AeroAstro and systems engineering.
I have also been a visiting researcher at the Airbus R&T Campus in Toulouse, ISAE-SUPAERO (Department of Complex Systems Engineering, with Prof. Rob Vingerhoets), and C3D Labs, working on model-based systems engineering, aerospace system modeling, and CAD kernel applications.
Earlier in my career, I collaborated with researchers at MIT and Skoltech on robotics and dynamical systems, working with computer vision, signal processing, and state estimation methods such as Kalman filtering for time-series and spatio-temporal data.
My broader interests include large-scale ML infrastructure, time-series and spatio-temporal modeling, data-centric AI, and generative design systems. For my parametric modeling software for cellular structures, see LatticeQuery.
