Expertise: systems biology, bioinformatics, computational biology, mathematical modeling, systems analysis, design of experiments, network inference, process optimization. Applications: biopharmaceutical manufacturing, drug discovery & repurposing, systems pharmacology, monoclonal antibody, protein glycosylation, biogerontology, mitochondrial DNA, programmed cell death, circadian rhythms, stem cell differentiation
Dr. Rudiyanto Gunawan is engaged in a broad range of research activities in the areas of computational systems biology and bioinformatics. He leads the Chemical and Biological Systems Engineering Laboratory (CABSEL). His primary specializations include network inference, dynamical systems modeling and analysis, and design of experiments. Research activities in CABSEL are driven by the mission to create enabling tools for extracting novel insights from large-scale multimodal biological data through the construction and analysis of biological network models and machine learning, and to apply these tools to gain a better understanding of and to formulate interventions for human diseases and aging. Research applications in CABSEL span multiple length- and time scales in biology, from gene regulatory networks to signaling pathways to metabolic networks and from single cells to cell cultures. The resulting computational tools have been applied to give answers to biological questions of biotechnological, biomedical and biopharmaceutical significance.
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