Dr. Adhitya Ronnie Effendie, S.Si., M.Si., M.Sc., is a distinguished lecturer and researcher at the Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Gadjah Mada (UGM) in Yogyakarta, Indonesia.He specializes in actuarial science and statistical computation, contributing significantly to both academic and applied research in these fields.

Academic Background

Dr. Effendie earned his Bachelor's degree in Mathematics from Institut Teknologi Bandung (ITB) in 1998. He pursued further studies in actuarial science, obtaining a Master's degree from Rijksuniversiteit Groningen (RuG) in the Netherlands in 2002. In 2011, he completed his doctoral studies at UGM, with a dissertation titled “On Health Insurance Valuation Models with Dynamic Interest Rate using Multistate Risk Approach”.

Professional Roles

At UGM, Dr. Effendie has held several key positions. He served as the Chair of the Statistics Laboratory from 2021 to 2022. Since 2022, he has been leading the Statistical Computation Laboratory within the Department of Mathematics

Research Interests

Dr. Effendie's research encompasses a broad range of topics, including:

• Computational statistics and statistical learning, with a focus on machine learning and artificial intelligence.
• Clustering and regression tree methodologies.
• Computational actuarial science, particularly in claim reserving and risk theory.
• Modeling of human mortality and morbidity.

His recent work involves applying machine learning techniques to claim reserving, claim modeling, and tariff analysis in non-life insurance. He also explores health insurance, mortality and morbidity modeling, and long-term care (LTC) systems .

Supervision and Mentorship

Dr. Effendie actively mentors graduate students, guiding research in areas such as earthquake insurance modeling using spatio-temporal point processes, premium valuation with Bayesian networks, and agricultural insurance schemes employing time-varying copula models.

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Dr. Effendie's contributions to actuarial science and statistical computation continue to influence both academic research and practical applications in Indonesia and beyond.