About Me: Dr. Hassan Khassehkhan
I hold a PhD in Applied Mathematics with a specialization in mathematical biology and its applications in life sciences. My research focuses on using mathematical modeling to understand and predict microbiological phenomena. I have developed numerous models that explore the use of Lactococcus lactis bacteria to control pathogenic bacteria such as Listeria monocytogenes. My expertise extends to computational science and numerical analysis, which are crucial for implementing and solving complex mathematical models using computer algorithms.
I completed a postdoctoral research collaboration with Health Canada and the Advanced Food and Materials Network of Excellence (AFMNet), where I secured funding to advance the concept of biocontrol systems-often referred to as "a manzalized system"-for managing harmful bacteria with safe, beneficial bacteria. Over the past 15 years, I have presented my work at numerous scientific conferences and published extensively in prestigious scientific journals.
I am passionate about leveraging big data and advanced computational tools to refine mathematical models and bridge the gap between theoretical research and real-world applications. My goal is to continue developing innovative solutions that address complex biological challenges through the power of mathematics and computation.
In addition to my expertise in mathematical modeling, I am also proficient in deep learning and artificial intelligence. I leverage big data to calibrate and refine model parameters, ensuring that theoretical frameworks align closely with real-world data. This integration of AI and machine learning techniques is essential for analyzing complex scenarios in the life sciences and developing innovative solutions that push the boundaries of current research. By harnessing the power of AI, I aim to bridge the gap between theoretical models and practical applications, driving forward advancements in the field.
Read the articles I have published:
