Finding patterns of variation in biology fascinating, I chose to study genetics and molecular biology in Universiti Malaya, graduating in 2002 with first class honours. Subsequently, I turned to the roots of the study of patterns of variation - statistics, receiving my MSc in statistics from Universiti Malaya in 2005. I completed my PhD in statistics at the National University of Singapore in 2009. Since 2010, I have been with Universiti Malaya. Currently, I am an associate professor at the Institute of Mathematical Sciences, and a fellow of the Royal Statistical Society, UK. My research interest broadly covers the area of data science, machine learning, bioinformatics, ecology, and medical statistics. Since 2010, I have worked in over 20 projects as the principal consultant statistician, and conducted numerous workshops on statistics, bioinformatics, and R programming. Presently, I head the UM Centre for Data Analytics, which focuses on establishing collaborative research and engagement between the industry and the academia in Malaysia. I enjoy reading, travelling, nature walks, and more recently, engaging fellow scientists in Twitter space.

Dr. Fatin Nabila Abd Latiff earned a PhD and a Master’s degree in Applied Mathematics, as well as a Bachelor’s degree in Pure Mathematics (Honours), all from Universiti Malaya. Currently serving as a Senior Lecturer at the Mathematics Division at the Centre for Foundation in Science, Universiti Malaya, her research interests revolve around chaos theory, cryptography, and secure communication, with a focus on chaotic neural networks, synchronization techniques, and encryption methods. Dr. Fatin Nabila is dedicated to advancing cryptographic methods and enhancing secure communication through the application of chaotic systems. Her work in chaos cryptography and secure communication bridges theoretical research with practical solutions, tackling modern challenges in data security. Dr. Fatin Nabila is open to supervising postgraduate students who are keen to explore cutting-edge research in cryptography, chaos theory, and secure communication.

in f inancial e conomics from Universiti Putra Malaysia (UPM). After completing his master degree, Lim joined UMS as a lecturer in January 2002 . Three years later, he was given a staff scholarship to pursue a PhD degree at the Department of Econometrics and Busi ness Statistics, Monash University. He holds a B . B . A . in finance with honors from Universiti Kebangsaan Malaysia (UKM ) , and a M.Sc. in f inancial e conomics from Universiti Putra Malaysia (UPM). After completing his master degree, Lim joined UMS as a lecturer in January 2002 . Three years later, he was given a staff scholarship to pursue a PhD degree at the Department of Econometrics and Busi ness Statistics, Monash University. Kian-Ping Lim is an Associate Professor at the Faculty of Business and Economics, Universiti Malaya. He received his B.B.A. (Hons.) in Finance from Universiti Kebangsaan Malaysia. Determined to become a scholar, he pursued an M.Sc. in Financial Economics at Universiti Putra Malaysia. It was during his master’s program that he first acquired formal training in econometrics through two foundational courses, which became instrumental in shaping his approach to empirical research. Drawing on this new skill set, he completed his dissertation, “Non-Linear Dependence in ASEAN-5 Foreign Exchange Rates: An Insight from a Battery of Non-Linearity Tests”, marking his entry into scholarly inquiry on financial markets. In 2002, after completing his master’s degree, Kian-Ping joined Universiti Malaysia Sabah as a lecturer. During this period, he had the privilege of collaborating with the late Professor Melvin Hinich, a pioneering scholar who developed the bispectrum and trispectrum tests for nonlinearity. Their intellectual exchanges proved formative, as they questioned the dominance of linearity-based approaches in weak-form efficiency studies. Together, they showed that returns can be linearly uncorrelated yet still exhibit nonlinear dependence that is forecastable. By uncovering such nonlinearities across different stock markets, their work challenged the adequacy of conventional efficiency tests and laid the groundwork for his doctoral research at Monash University. From 2005 to 2009, Kian-Ping pursued his PhD at the Department of Econometrics and Business Statistics, Monash University. Building on his earlier work, he moved beyond the question of whether markets were efficient in an absolute sense to challenge the static treatment of efficiency. Using rolling-sample methods, he showed that efficiency evolves over time. More importantly, he advanced the idea of treating efficiency in relative terms, opening new avenues to explore its drivers across countries. His survey article in the Journal of Economic Surveys called for a paradigm shift from the Efficient Markets Hypothesis to the Adaptive Markets Hypothesis. Together with his collaborators, he contributed to operationalizing this framework, and the resulting paper was published in the Journal of Empirical Finance. He regards the four-year PhD journey as the most productive phase of his career, publishing 18 of 21 papers written during candidature in mainstream economics and finance journals. After completing his PhD, Kian-Ping continued his research journey largely in collaboration with his doctoral students, while staying true to his philosophy of offering novel perspectives against conventional practices. His work on stock liquidity moved beyond firm-level analysis to examine liquidity at the aggregate market level. In corporate finance, he shifted the lens from broad corporate governance to the role of blockholder governance. In his more recent research on market integration, he advocated Bayesian approaches that more effectively capture the dynamics of market comovements, offering a conceptually richer alternative to conventional correlation-based measures. Across these domains, his post-PhD work reflects a commitment to advancing scholarship through fresh and critical perspectives. The impact of his research is reflected in both readership and recognition. His publications have attracted high citations across Web of Science, Scopus, and Google Scholar, placing him among the leading financial economists in Malaysia. Since 2010, he has consistently been ranked within the top five percent of economists in the country according to IDEAS/RePEc. His international standing is further affirmed by ScholarGPS, where he is listed as a Highly Ranked Scholar within the top 0.05% globally in the specialty of "Stock": ranked #48 in 2022, #59 in 2023, and #66 in 2024 worldwide. Beyond research, Kian-Ping contributes actively to academic leadership and service. He is currently the Editor-in-Chief of the Malaysian Journal of Economic Studies, the flagship publication of the Malaysian Economic Association. He was the Deputy Dean (Research & Innovation) at the Labuan School of International Business & Finance, Universiti Malaysia Sabah (Jan 2010–Jan 2012), and later the Deputy Dean (Research & Development) at the Faculty of Economics & Administration, Universiti Malaya (Aug 2016–Sept 2021). In these capacities, he helped to promote research in business and economics, supporting an environment where scholarship can grow. Kian-Ping's journey, shaped by these milestones in research and leadership, is captured in the attached timeline (click here), which also points to the path he looks forward to pursuing in the years ahead.