The Speakers

Danardono, Ph.D.

Danardono was graduated from the Statistics Bachelor Program, Faculty of Mathematics and Natural Sciences, Universitas Gadjah Mada (UGM) in 1992.  Since 1994 he works in the Faculty of Mathematics and Natural Sciences, UGM; and is also affiliated with the Clinical Epidemiology Unit Faculty of Medicine, UGM.  The field of epidemiology and medicine motivated him to do methodological research in this area as his doctoral study, by then in 2005 he got Ph.D. in Statistics from Umeå University, Sweden. Since then, he has been working in teaching, consulting, and research in biostatistics, survival analysis, epidemiology, demography, mortality models, and statistical computing.  

Danang Teguh Qoyyimi, M.Act.Sci, ASAI, Ph.D.

Danang Teguh Qoyyimi is a lecturer in the Department of Mathematics at Universitas Gadjah Mada. His expertise is in the field of actuarial science and  its applications on various aspects in risk modeling, including dependence modeling, sharia finance, risk modeling on social security system, and disaster financing.  Danang received his undergraduate and master degree from Universitas Gadjah Mada. He toke second master at the Master of Actuarial Science University of Waterloo and received his doctoral degree from the University of Western Ontario in Statistical and Actuarial Sciences. He is a member of Indonesian Mathematical Society and associate of the Society of Actuaries of Indonesia (Persatuan Aktuaris Indonesia)


Novitasari Linda Christanti, FSAI

Novitasari Linda Christanti is an experienced Actuarial Officer with a strong background in the insurance industry. Currently associated with Sukoon Insurance, Novitasari specializes in actuarial pricing and risk assessment. She has previously worked as an Actuary officer at SALAMA.co Abu Dhabi, an Actuary Pricing Officer at Cigna Indonesia, and a Junior Assistant Actuary at PT. Reasuransi Nasional Indonesia. Novitasari holds a Certificate license as a Fellow of the Society of Actuaries of Indonesia (FSAI), demonstrating her expertise and commitment to professional excellence. With her analytical skills and deep knowledge of actuarial principles, Novitasari is dedicated to helping organizations effectively manage risk and optimize their insurance portfolios. 

Nurin Haniah Asmuni, Ph.D

Nurin Haniah Asmuni is a highly accomplished Senior Lecturer at Universiti Teknologi Mara, specializing in the field of actuarial science and applied finance. With a Ph.D. in Applied Finance and Actuarial Studies from Macquarie University in Australia, an M.Sc in Actuarial Science from Heriot-Watt University in the UK, and a B.Sc in Actuarial Science from University Teknologi Mara, Nurin brings a wealth of knowledge and expertise to her role. Her research interests include financial risk management, insurance mathematics, and quantitative analysis. With a strong academic background and extensive experience in teaching and mentoring students, Nurin is committed to cultivating the next generation of actuarial professionals. She actively engages in research collaborations and stays up to date with the latest advancements in her field to provide valuable insights and solutions in the areas of finance and actuarial studies. 

Iwasawa Hirokazu*

Atina Husnaqilati, Ph.D.

Atina Husnaqilati is a passionate Statistics Lecturer at Universitas Gadjah Mada, with expertise in various statistical methodologies. She holds a Bachelor's degree in Statistics from Universitas Gadjah Mada, followed by a Master's and Doctoral degree in Mathematics from Tohoku University. With a strong academic background, Atina's research interests revolve around survival analysis for medical applications, random matrix theory, multivariate analysis (particularly principal analysis), and large-dimensional analysis. Her dedication to advancing statistical knowledge and her ability to apply complex methodologies make her a valuable asset in both academia and industry. With excellent teaching skills and a commitment to staying abreast of the latest developments in the field, Atina actively contributes to the education and development of future statisticians. 

*under confirmation