Alonso Oliva Ogueda holds a Master’s degree in Mathematics from the Universidad Técnica Federico Santa María (2021) and a Mathematical Engineering degree from Universidad Técnica Federico Santa María (2019). He has worked on a variety of projects involving development of mathematical/statistical algorithms, data analysis, data science and engineering and Cloud computing. Dr. Padmanabhan Seshaiyer is a tenured Professor of Mathematical Sciences at George Mason University and serves as the Director of the STEM Accelerator Program in the College of Science as well as the Director of COMPLETE (Center for Outreach in Mathematics Professional Learning and Educational Technology) at George Mason University in Fairfax, Virginia. His research interests are in the broad areas of computational mathematics, computational data science, scientific computing, computational biomechanics, design and systems thinking, entrepreneurship and STEM education. During the last decade, Dr. Seshaiyer initiated and directed a variety of educational programs including graduate and undergraduate research, K-12 outreach, teacher professional development, and enrichment programs to foster the interest of students and teachers in STEM at all levels.

• About the BookForewordAcknowledgement1. Computational Thinking for Mathematical Biology2. Modeling and Computation for Biological Interactions3. Understanding Spread of Infection and Epidemic Dynamics4. Modeling, Analysis and Computation in Epidemiology5. Foundations of Optimal Control Theory for Biological Systems6. Incorporating spatial dynamics into biological systems7. From Deterministic to Predictive Modeling8. Data-Driven Classification for Biological Applications through Machine Learning9. Physics Informed Neural Networks for Predicting Biological Dynamics