Mengjie Zhao

EPFL STI IGM LA3
ME C2 398 (Bâtiment ME)
Station 9
1015 Lausanne

Expertise

Graph Neural Networks, ML4Industry

Current Work

I am currently building KIIO, a startup that translates my research into practical solutions for the chemical manufacturing sector. We enable the shift from reactive to proactive maintenance and operations, improving process reliability and performance by extracting actionable insights from operational data.

I completed my PhD at EPFL in 2025, where I developed novel graph neural network and neural ODE methods for condition monitoring and degradation inference in mechanical and infrastructure systems. My background is in computational mechanics. I earned both my Bachelor’s and Master’s degrees at TUM, focusing primarily on CFD and FEM.

Education

Temporal and Relational Learning in Complex Systems

| ENAC | EDRS

2021 – 2025 EPFL

M.Sc (with honors)

| Computational Mechanics

2017 – 2020 Technical University of Munich

B.Sc

| Engineering Science

2014 – 2017 Technical University of Munich