Linar Mikeev

Linar Mikeev is a researcher affiliated with the Department of Computer Science at Saarland University, Germany. His work focuses on stochastic modeling of biochemical reaction networks using Markov processes, with applications in computational biology and systems biology.

• Key methodologies: Moment-based analysis, importance sampling, numerical approximation
• Collaborators: Alexander Andreychenko, Verena Wolf, Werner Sandmann

Research Interests

Mikeev's research spans stochastic processes in biochemical systems, particularly using Markov chains and hybrid models to analyze rare events in reaction networks. He develops numerical techniques for solving the chemical master equation and optimizing parameter estimation in biological systems.

Recent Publications (2010-2015)

His articles address biochemical reaction networks through Markovian models, with a focus on rare event probabilities, parameter inference, and hybrid numerical solutions. Collaborative work with computational biologists and systems biology researchers dominates his output.

Collaborations

• Verena Wolf (8 co-publications)
• Werner Sandmann (2 co-publications)
• Thomas A. Henzinger (1 co-publication)