
AGUSTÍN YABO
PhD in Automation, Signal and Image Processing
Postdoctoral fellow at INRAE Occitanie-Montpellier
Summary
I am a research scientist working on control theory and applications to life sciences. I resort to theoretical and numerical optimal control approaches to predict biological phenomena—such as regulatory mechanisms in bacterial cells—and to develop synthetic control strategies for industrial and biotechnological applications. I obtained my Automation and Control Systems Engineering degree at the National University of Quilmes (Buenos Aires, Argentina) in 2015. In 2017, I moved to France where I obtained my Master’s degree in Systems, Control & IT specialized in Control and Systems Theory at the Université Grenoble Alpes (Grenoble, France). In 2021, I obtained my Ph.D. in Automation, Signal and Image Processing at Inria Sophia Antipolis – Méditerranée, part of the Université Côte d’Azur (Nice, France), focused on optimal resource allocation in bacterial growth. Since 2022, I hold a postdoctoral research position at INRAE Occitanie-Montpellier (Montpellier, France).
Research interests
- Modeling and dynamical systems analysis
- Control and optimal control

Optimal control of bistable gene-regulatory networks
Dynamical resource allocation in bacterial models

Journal papers
- Yabo, A. G. (2022). Optimal feedback control strategies in a generic class of bacterial growth models with multiple substrates (Submitted paper).
- Yabo, A. G., Caillau, J. B., & Gouzé, J. L. (2022). Optimal bacterial resource allocation strategies in batch processing (Submitted paper).
- Yabo, A. G., El Din, M. S., Caillau, J. B., & Gouzé, J. L. (2022). Stability analysis of a bacterial growth model through computer algebra (Submitted paper).
- N. Augier and Yabo, A. G. (2021). Time-optimal control of piecewise affine bistable gene-regulatory networks. In International Journal of Robust and Nonlinear Control.
- Yabo, A. G., J.B. Caillau, J.L. Gouzé, H. de Jong, and F. Mairet (2021). Dynamical analysis and optimization of a generalized resource allocation model of microbial growth. In SIAM Journal on Applied Dynamical Systems.
- Yabo, A. G., Caillau, J. B., & Gouzé, J. L. (2020). Optimal bacterial resource allocation: metabolite production in continuous bioreactors. In Mathematical Biosciences and Engineering.
- Carbone, J., Yabo, A. G., & Oliva, D. (2018). Characterization and modelling of looming-sensitive neurons in the crab Neohelice. In Journal of Comparative Physiology A.
Conference proceedings
- Yabo, A. G. (2022). Predicting microbial cell composition and diauxic growth as optimal control strategies (Submitted paper).
- Yabo, A. G., Casenave, C. (2022). Aroma synthesis and energy consumption in wine fermentation: a multiobjective optimization approach (Submitted paper).
- Yabo, A. G., Caillau, J. B., & Gouzé, J. L. (2022). Optimal allocation of bacterial resources in fed-batch reactors. In 2022 European Control Conference (ECC). (London, United Kingdom).
- Yabo, A. G., Caillau, J. B., & Gouzé, J. L. (2021). Hierarchical MPC applied to bacterial resource allocation and metabolite synthesis. In 2021 IEEE 60th Conference on Decision and Control (CDC 2021). (Texas, United States).
- Augier, N. & Yabo, A. G. (2021). Time-optimal control of piecewise affine bistable gene-regulatory networks: preliminary results. In 7th IFAC Conference on Analysis and Design of Hybrid Systems (ADHS21). (Brussels, Belgium).
- Djuikem, C., Yabo, A. G., Grognard, F. & Touzeau, S. (2021). Mathematical modelling and optimal control of the seasonal coffee leaf rust propagation. In 7th IFAC Conference on Analysis and Design of Hybrid Systems (ADHS21). (Brussels, Belgium).
- Yabo, A. G., & Gouzé, J. L. (2020). Optimizing bacterial resource allocation: metabolite production in continuous bioreactors. In IFAC World Congress 2020. (Berlin, Germany).
- Yabo, A. G., Caillau, J. B., & Gouzé, J. L. (2019). Singular regimes for the maximization of metabolite production. In 2019 IEEE 58th Conference on Decision and Control (CDC 2019). (Nice, France).
- Yabo, A. G., Caillau, J. B., & Gouzé, J. L. (2019). Bacterial growth strategies as Optimal Control problems: maximizing metabolite production. In FGS’2019-19th French-German-Swiss conference on Optimization. (Nice, France).
- Yabo, A. G., Robu, B., Richard, O., Bzeznik, B., & Rutten, E. (2019). A control-theory approach for cluster autonomic management: maximizing usage while avoiding overload. In 2019 IEEE Conference on Control Technology and Applications (CCTA 2019). (Hong Kong, China).
- Stahl, E., Yabo, A. G., Richard, O., Bzeznik, B., Robu, B., & Rutten, E. (2018). Towards a control-theory approach for minimizing unused grid resources. In Proceedings of the 1st International Workshop on Autonomous Infrastructure for Science (AI-Science’18). (Tempe, United States).
- Yabo, A. G., Arroyo, S. I., Safar, F. G., & Oliva, D. (2016). Vehicle classification and speed estimation using computer vision techniques. In XXV Congreso Argentino de Control Automático (AADECA 2016). (Buenos Aires, Argentina).
- Oliva, D., Yabo, A. G., García, L., Arroyo, S. I., & Safar, F. G. (2015). Implementación de un sistema para la medición del flujo de tránsito y detección de embotellamientos en autopistas. In Argentine Symposium on Artificial Intelligence (ASAI 2015)-JAIIO 44. (Rosario, Argentina).
- Yabo, A. G., Carbone, J., Ibañez, S., Tomsic, D., & Oliva, D. (2014). Wide-field stimulation system for measuring of visuomotor behaviors in arthropods. In XXIX Annual Meeting of the Argentine Society for Research in Neuroscience (SAN 2014). (Córdoba, Argentina).