Dr. Evans Omondi is a senior lecturer of Mathematics and Statistics at the Institute of Mathematical Sciences of Strathmore University in Nairobi- Kenya.  Dr. Omondi holds a Ph.D. in BioMathematics from Strathmore University in Kenya, an MSc. in Mathematics from Stellenbosch University in South Africa, an MSc. in Mathematical Sciences from AIMS-South Africa in collaboration with Stellenbosch University, and a B.Sc. in Applied Statistics with Computing from the University of Eldoret. 

In the university, Dr. Omondi teaches a wide range of units in various programmes that include MSc. Statistical Sciences, MSc. Data Science and Analytics, MSc. Biomathematics, Bachelors degree programmes (BBS Actuarial Science, BBS Financial Economics, BBS Financial Engineering). Some of the units are listed below. 

MSc. Data Science and Analytics

1. Fundamental of Statistical Analysis
2. Optimization in Data Science 
3. Computational Techniques in Data Science

MSc. Statistical Sciences

1. Statistical Inferences
2. Computational Statistics 

MSc. Biomathematics

1. Statistical Analysis with Application to Biology

BBS programme

1. Probability and Statistics I and II
2. Statistical Inferences 

BCOM, BFS and BSCM Programmes 

1. Introduction to Business Mathematics
2. Introduction to Business Statistics
3. Advanced Business Mathematics
4. Advanced Business Statistics 
5. Management Science
6. Introduction to quantitative methods
7. Business Intelligence and Data Analytics
8. Advanced Quantitative Methods 
9. Advanced Data Analytics 
10. Quantitative modelling and analysis

Dr. Omondi also teaches programming and computing in R, SPSS, Matlab, LaTeX and Mathematica as skill-based courses.

Dr.  Omondi’s primary interests revolve around application of mathematical models to study transmission, progression, and impact of various infectious diseases.  He is enthusiastic about use of epidemiological models and statistical models to analyse epidemiological data as well as disease surveillance data. His research endeavours to develop statistical techniques that can effectively capture uncertainty, account for data limitations, and facilitate accurate parameter estimation to inform evidence-based decision-making. 

Additionally, Dr. Omondi has successfully mentored and graduated numerous students in MSc Statistical Sciences and MSc Data Science and Analytics programs. Through his guidance, these students have developed a deep understanding of complex statistical methodologies and data analysis techniques. He has provided them with practical, hands-on experience in applying these skills to real-world problems. Dr. Omondi’s mentorship has not only equipped his students with the technical expertise necessary for their careers but has also instilled in them a rigorous scientific approach and a commitment to evidence-based decision-making. His efforts have significantly contributed to fostering a new generation of experts who are now making meaningful contributions in academia, industry, and public health.

Dr. Omondi has an extensive publication record, with numerous academic papers published in internationally refereed journals. His research contributions span various topics within the fields of statistical epidemiology, disease modelling, public health, and data science highlighting his expertise and impact on the scientific community. The comprehensive list of his publications  can be accessed through his Google Scholar profile or via his ORCID profile link.

Dr. Evans Otieno Omondi,

P.O Box 59857 – 00200, City Square, Nairobi – Kenya,

E-mail: eomondi@strathmore.edu,

Cell: +254(0) 720 743609; +254(0) 735 743609.