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I2CMBS · Registering as Listener

International Conference on Computational Methods in Biological Systems

19–20 Aug 2026 Oslo, Norway Standard / Virtual Participation
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$269
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Conference Session Tracks

SDG-Aligned Research Themes

The I2CMBS conference tracks support global knowledge exchange, innovation and sustainable development priorities across Computational Science and related disciplines.

01 Mathematical Modeling in Biological Systems +
This track focuses on the development and application of mathematical models to understand complex biological phenomena. Participants are encouraged to present innovative modeling approaches that enhance our understanding of biological systems.
02 Computational Methods in Genomics +
This session will explore computational techniques used in the analysis of genomic data, including sequencing and annotation. Contributions that highlight novel algorithms and their applications in genomics are particularly welcome.
03 Machine Learning Applications in Bioinformatics +
This track aims to showcase the integration of machine learning techniques in bioinformatics research. Presentations should focus on case studies where machine learning has significantly advanced data analysis in biological contexts.
04 Statistical Modeling in Proteomics +
This session will delve into statistical methods applied to proteomic data, emphasizing the challenges and solutions in high-dimensional data analysis. Researchers are invited to share their findings on statistical approaches that improve proteomic data interpretation.
05 Simulation Techniques in Systems Biology +
This track will cover various simulation techniques used to model biological systems and their dynamics. Contributions that demonstrate the effectiveness of simulation in predicting biological behavior are encouraged.
06 Optimization Algorithms in Computational Biology +
This session focuses on optimization techniques that enhance computational biology research, including algorithmic advancements and their applications. Participants are invited to present work that illustrates the role of optimization in solving biological problems.
07 Data Science Approaches in Biomedical Research +
This track will highlight the application of data science methodologies in biomedical research, including data mining and predictive analytics. Submissions that demonstrate innovative data-driven insights into biological questions are welcome.
08 Neural Networks in Biological Data Analysis +
This session will explore the use of neural networks for analyzing complex biological data sets. Researchers are encouraged to present their work on deep learning applications that address challenges in computational biology.
09 Quantitative Methods in Ecology and Evolution +
This track focuses on the application of quantitative methods to ecological and evolutionary studies. Presentations should highlight how mathematical and statistical techniques contribute to our understanding of ecological dynamics.
10 Interdisciplinary Approaches in Computational Science +
This session will emphasize the importance of interdisciplinary collaboration in advancing computational methods in biological research. Contributions that integrate mathematics, statistics, and biological sciences are particularly encouraged.
11 Emerging Trends in Computational Systems Biology +
This track will address the latest advancements and emerging trends in computational systems biology. Participants are invited to discuss innovative methodologies and their implications for future research directions.

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