Ljubisa Miskovic

Il - He/him

EPFL SB ISIC LCSB
CH J2 492 (Bâtiment CH)
Station 6
1015 Lausanne

EPFL SB ISIC LCSB
CH J2 492 (Bâtiment CH)
Station 6
1015 Lausanne

EPFL SB ISIC LCSB
CH J2 492 (Bâtiment CH)
Station 6
1015 Lausanne

Expertise

Systems Biology, Machine Learning, Dynamical Systems, Metabolic Engineering, Synthetic Biology, Parameter Estimation, Data-driven control
Ljubisa Miskovic received his PhD in Automatic Control from EPFL in 2006, under the joint supervision of Dominique Bonvin and Alireza Karimi. He subsequently conducted postdoctoral research in systems engineering and control theory at the Université catholique de Louvain with Michel Gevers, before joining Vassily Hatzimanikatis’s Laboratory of Computational Systems Biotechnology at EPFL. He became a scientist at EPFL in 2010 and was appointed Senior Scientist (MER-R) in 2025.

His research lies at the interface of computational systems biology, control theory, and machine learning. He develops computational methods for modelling, analysing, and engineering metabolic networks, with applications in biotechnology and health. His current work focuses particularly on large-scale dynamic models of metabolism, generative machine-learning approaches, metabolic engineering, and synthetic biology.

Main publicatons

Teaching & PhD

PhD Students

Ilias Toumpe

Past EPFL PhD Students as codirector

Stefano Andreozzi (2015), Subham Choudhury (2024), Milenko Tokic (2019)

Courses

Chemical process control

ME-323

Provide the students with basic notions and tools for the modeling and analysis of dynamic systems. Show them how to design controllers and analyze the performance of controlled systems.

Numerical methods

ChE-312

This course introduces students to modern computational and mathematical techniques for solving problems in chemistry and chemical engineering. The use of introduced numerical methods will be demonstrated using the Python programming language.