Rate My Professor Kipkoech Rotich

Rotich specializes in quantitative analysis as a quant and actuary, with expertise in health economic evaluation and public policy. His research encompasses actuarial science, catastrophe risk modelling, machine learning applications such as convolutional neural networks, image processing techniques, pension schemes, and mortality modelling. Key publications include "An Application of Image Processing Techniques in the Calibration of Catastrophe Models," published in Variance journal on December 17, 2025, co-authored with Artur Hambardzumyan, Eliud Koech, Olga Poghosyan, and Joseph Mungatu. The study applies U-Net architecture to calibrate catastrophe models using National Oceanic and Atmospheric Administration data, demonstrating superior performance over traditional generalized linear models even with limited data. Another publication is "A Case Study of a Kenyan Pension Scheme," appearing in the European Journal of Business and Management in 2015, which estimates metrics for a local pension fund. At Curtin University, Rotich coordinates the ACTL1003 Introductory Actuarial Practices unit. He has participated in events like the Actuarial, Finance, Risk and Insurance Congress hosted by institutions including the University of Melbourne and UNSW.