A highly motivated and experienced research engineer and a lifelong learner with a diverse background in chemical/bioengineering, process systems engineering (PSE), systems biology, and data science
My research interest focuses on the synergistic combination of several interdisciplinary fields, including Mathematical Modeling and Simulation, Product/Process Design and Optimization, Artificial Intelligence (AI), Data Science, and Digitalization. I am particularly interested in exploring the applications of these techniques and impactful solutions to real-world problems in various domains, such as Chemical and Biological Process Systems Engineering, Water-Energy-Environment nexus, Computational Systems/Synthetic Biology, Biomedical Science and Engineering, and the development of novel healthcare-related technologies.
Mathematical Modeling and Simulation are critical, powerful tools for understanding complex systems and predicting their behavior under different scenarios. By combining these techniques with Product/Process Design and Optimization, I aim to optimize the performance of these systems in terms of efficiency, sustainability, and scalability. AI and Data Science are rapidly growing fields with tremendous potential for revolutionizing various industries. By leveraging Machine and Deep Learning algorithms, Computer Vision, and Natural Language Processing, I aim to develop novel predictive models that can extract meaningful insights from large and complex data sets. These models will help optimize the performance of various processes and systems in the domains mentioned above, leading to improved outcomes and a better quality of life for individuals and sustainable society.
