Introduction to Predictive Microbiology (Online Training)

 Predictive Microbiology is the study of how microorganisms would react to certain environmental conditions, such as that of temperature and pH, with the use of mathematical functions and the aid of specialized softwares. While it will never replace microbial analysis, predictve microbial models can narrow down possible outcomes when introducing changes in your processes leading to a more efficient validation process. 

Areas Covered in this Session

• Introduction to Predictive Microbiology

• Brief Review of Food Microbiology

• Microbial Modelling Approaches

• Applications of Predictive Microbiology in the Food Industry

• Illustration or Discussion of Actual Laboratory Experiments in Predictive Microbiology

Target participants

This training is ideal for professionals involved in laboratory testing, quality management, and accreditation compliance, particularly in microbiology and biological testing laboratories, including but not limited to:

• Laboratory Managers and Technical Managers

• Quality Assurance / Quality Control Managers and Officers

• Microbiologists and Laboratory Analysts

• Laboratory Supervisors and Section Heads

• Accreditation and Compliance Officers

• Method Validation and Verification Personnel

• Internal Auditors of Testing Laboratories

• Laboratory Consultants and Technical Advisers

• Personnel preparing for ISO/IEC 17025 accreditation

• Regulatory and Government Laboratory Personnel

About the Speaker

Andrew D. Montecillo, MSc, RMic is a tenured Assistant Professor at the Microbiology Division of the Institute of Biological Sciences, College of Arts and Sciences, University of the Philippines Los Baños (UPLB). He is a Registered Microbiologist in the Philippines.

Prof. Montecillo holds a Bachelor of Science degree in Biology, major in Microbiology (magna cum laude), and a Master of Science in Microbiology (minor in Computer Science), both from UPLB, where he earned his master’s degree with distinction. He is currently pursuing a PhD in Microbiology (by Research) at the same institution. He has an active teaching portfolio at UPLB, where he lectures on courses such as General Microbiology, Microbial Genetics, Microbial Ecology, and MCB 285: Predictive Microbiology. His academic background in computer science complements his teaching of Predictive Microbiology, a computationally intensive field that relies on mathematical modeling and simulation to forecast microbial behavior. His combined expertise in microbiology and computational methods enables him to effectively teach and mentor in this interdisciplinary area.

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