Haibo Liu

Ph.D. student in Applied Mathematics, LJLL – Sorbonne Université

Supervised by Damiano Lombardi and Muriel Boulakia

• Thesis project: Empowering Predictivity and Speed of hiPSC CM Assays by Machine Learning Approach

Contact

• Address: Bureau A310
  Centre de Recherche Inria de Paris
  2 rue Simone Iff
  CS 42112
  75589 Paris Cedex 12
  FRANCE
• e-mail: haibo.liu@inria.fr

Research interests

My PhD focuses on modelling the electrical activity of cardiac cells subjected to the action of drugs and investigating the ability of Machine Learning and mathematical modelling approaches to improve the predictivity of human-induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CM) assays, with the end objective to set up high-throughput drug screening procedures. My other interests include machine learning and numerical simulation.

Short CV

• 2018: M.Sc. Data and Decision Analytics, University of Southampton.
• 2020-present: Ph.D. under the supervision of Damiano Lombardi, Sorbonne Université.

• Muriel Boulakia, Haibo Liu, Damiano Lombardi. Parameter identification through gradient flow on latent variables. 2023. ⟨hal-04364114⟩
• Haibo Liu, Tessa De Korte, Sylvain Bernasconi, Christophe Bleunven, Damiano Lombardi and Muriel Boulakia. Artificial Neural Network Comparison on hERG Channel Blockade Detection. International Journal of Computer Applications184(14):1-9, May 2022.
• Elham Ataei Alizadeh, Sara Costa Faya, Haibo Liu, Damiano Lombardi, Sylvain Bernasconi, et al..(2023). Comparison of statistical, machine learning, and mathematical modelling methods to investigate the effect of ageing on dog’s cardiovascular system. ESAIM: Proceedings and Surveys, 73, 2-27.