
Quantitative Analyst
Dr. Kimeel Sooknunan is a Quantitative Analyst at Equitile Investments, having joined the firm in 2025. Initially working to improve operational resilience, he is also integral to the advancement of the proprietary algorithmic system, "DARWIN." Kimeel's passion lies in applying statistical techniques to analyze data, offering a fresh perspective on the financial landscape that enhances Equitile's quantitative analysis and pattern recognition in momentum and sentiment.
Kimeel is an Imperial College President's Scholar, holding a PhD in Machine Learning Applications in Astrophysics, with a focus on convolutional neural networks (CNNs) for inferring physical parameters from multidimensional astrophysical simulations. He also held a research position at the Institute for Data-Intensive Research in Astrophysics and Cosmology (DiRAC), where he conducted cutting-edge research utilizing large datasets and advanced computational techniques in astronomy and cosmology. He graduated at the top of his class for both his MSc and BSc at the University of Cape Town, majoring in astrophysics.
With two years of experience as a data scientist, Kimeel has developed strong skills in managing and analyzing large datasets, creating predictive models, and effectively communicating insights. His expertise in statistical methods and machine learning makes him a valuable asset to Equitile, where he is committed to evolving the firm's quantitative strategies and enhancing our proprietary Darwinian investment solutions.