google Scholars Link:https://scholar.google.com/citations?user=EPns3JsAAAAJ&hl=en
Research gate link :https://www.researchgate.net/profile/Erick-Kirui-2?ev=hdr_xprf
Dr. Cheruiyot Kirui Erick is a statistician, academic, and researcher with a strong background in statistical modelling, data analysis, teaching, and academic administration. He holds a PhD in Statistics and currently serves as a Tutorial Fellow in the Department of Mathematics and Actuarial Science at Murang’a University of Technology, Kenya, where he teaches and mentors students in statistics and related mathematical disciplines. His academic responsibilities include teaching, curriculum development, supervision of student research, and supporting students in developing practical statistical skills applicable across diverse fields. Dr. Kirui has contributed to academic administration through his appointment as Acting Examination Officer, a role he assumed in May 2023. In this capacity, he has been involved in coordinating and managing examination processes, ensuring compliance with institutional procedures, maintaining the integrity of assessments, and supporting the delivery of high-quality academic services. His administrative experience reflects his commitment to academic standards, accountability, and institutional development.
Prior to his current academic role, Dr. Kirui served as a Graduate Teaching Assistant at Murang’a University of Technology, where he supported undergraduate teaching in statistics and mathematics, provided academic guidance to students, and participated in collaborative research activities. He has also served as the Web Champion for the School of Pure and Applied Sciences, contributing to initiatives aimed at strengthening the school’s digital presence, improving access to academic information, and enhancing communication with students and other stakeholders.
Dr. Kirui’s professional experience also includes an industrial attachment at Kapkatet District Hospital, where he gained practical experience in data collection, statistical analysis, and interpretation within a healthcare setting. This experience strengthened his appreciation of the role of statistics in evidence-based decision-making and public health research. His research interests include statistical modelling, machine learning, response surface methodology, optimization, and the application of statistical and computational methods to real-world problems. His doctoral research focused on the development and application of advanced statistical modelling approaches, reflecting his broader interest in combining traditional statistical methods with modern machine learning techniques to address complex problems.
Dr. Kirui is committed to continuous professional development and has undertaken various professional trainings and workshops in areas including e-content development for distance learning, cybersecurity awareness, competency-based education, and modern teaching methodologies. These experiences complement his academic and research activities and support his commitment to innovative and technology-enhanced education. With experience spanning academia, research, statistical practice, digital initiatives, and academic administration, Dr. Kirui is committed to advancing the application of statistics, contributing to scholarly research, supporting evidence-based decision-making, and nurturing the next generation of statisticians, mathematicians, and quantitative professionals.