Biography

I earned my PhD in Applied Mathematics with a concentration in Statistics and have been part of the Department of Mathematics and Computer Science at Chulalongkorn University since November 2019. My roles consistently combine significant research and teaching responsibilities. I genuinely enjoy working with and mentoring students, and I believe the best way to support their learning is by engaging in meaningful research that enriches and contextualizes my teaching. As a result, I place strong emphasis on both my research and instructional contributions. I also maintain a solid record of service and leadership to my department, the university, and the broader scientific community.

Research Area

• Statistics, Probability & Stochastic Process

Publications

1. [1] Jantaraphum, A., Santorico, S. & Kooakachai, M. (2026). Logistic Regression for Robust Familial DNA Analysis Amidst Population Substructure. Lobachevskii Journal of Mathematics, 47(2) 777-798. https://doi.org/10.1134/S1995080225615668 (In Press)
2. [2] Phuemchai, R. & Kooakachai, M. (2026). Hypothesis Tests for Difference in Zero-Truncated Poisson Parameters. In Mathematics for Industrial Applications. Springer Proceedings in Mathematics and Statistics 537. https://doi.org/10.1007/978-3-032-17944-9_3 (In Press)
3. [3] Meecharoenvaranon, P. & Kooakachai, M. (2026). Permutation Tests with Transformations Enhance Power in Percentile Comparisons. International Journal of Mathematics and Computer Science, 21(1) 13-20. https://doi.org/10.69793/ijmcs/01.2026/monchai
4. [4] Jantaraphum, A. & Kooakachai, M. (2025). Logistic Regression for Mitigating Subpopulation Effects in Familial DNA Search. Proceedings of the 29^th Annual Meeting in Mathematics (AMM 2025), 572-590.
5. [5] Manggon, T., Sumetkijakarn, S., Santiwipanont, S.& Kooakachai, M. (2025). SL-vine Copula Model. Proceedings of the 29^th Annual Meeting in Mathematics (AMM 2025), 610-625.
6. [6] Monnoi, J., Jamrat, S., & Kooakachai, M. (2025). Modeling Volleyball Match Outcomes Using Modified Estimators for the Binomial Parameter. Thai Journal of Mathematics, 23(1), 41–55.
7. [7] Kabbun, N., Jantai, W., Than, D., & Kooakachai, M. (2025). Stochastic Models for Breaking Large Bills and Coins. Thai Journal of Mathematics, 23(1), 57–71.
8. [8] Hommai, Y., Kooakachai, M., & Jantai, W. (2025). Some Properties of Two-Dimensional Trinomial Random Walks Conditioned on End Points. Thai Journal of Mathematics, 23(1), 111–128.
9. [9] Makapawee, P., Kamkongkaew, K., & Kooakachai, M. (2024). Addressing Incomplete Data in Two-way Contingency Tables with Three-Level Variables. In International Conference on Soft Methods in Probability and Statistics (pp. 264-272). Cham: Springer Nature Switzerland.
10. [10] Gaengaew, P., Jantai, W., & Kooakachai, M. (2024). Some Properties of a Trinomial Random Walk Conditioned on End Points. Thai Journal of Mathematics, 22(1), 203-216.
11. [11] Laoiam, C. & Kooakachai, M. (2023). Developing Test Statistics for Familial DNA Searches through Classification Ideas. Proceedings of the 27^th Annual Meeting in Mathematics (AMM 2023), 141-152.
12. [12] Hanmungtham, P. & Kooakachai, M. (2022). Estimation of the Win-Probabilities for Comparing Two Negative Binomial Random Variables. Proceedings of the International Conference in Mathematics and Applications 2022 (ICMA-MU 2022), 25-33.
13. [13] Kooakachai, M. (2022). Algorithms for the Test of Independence of Two Categorical Variables over Uncertain Data. Thai Journal of Mathematics, 62-74.
14. [14] Kooakachai, M., LaBerge, G., & Santorico, S. A. (2019). A New Framework to Test Parent-Child and Full Sibling Relationships with Population Substructure. Forensic Science International, 305, 110012.