At Arbital Health, we are proud to work with some of the sharpest minds advancing actuarial science, and today we celebrate one of our own. Nhan Huynh, a key member of our actuarial science team, has been awarded the 2024 Peter Clark Prize from the Institute and Faculty of Actuaries (UK) for the most outstanding paper published this year in the actuarial literature.
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Nhan co-authored the winning paper with her PhD advisor, Prof. Michael Ludkovski: “Joint models for cause-of-death mortality in multiple populations,” published in the Annals of Actuarial Science. Their research applies cutting-edge spatial machine learning methods to analyze and forecast cause-of-death mortality rates across countries and populations, capturing critical dependencies between causes and demographic groups. The result is a significant advance in the way actuaries can model complex mortality trends, essential work for any field where long-term risk prediction matters.
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“I’m incredibly honored that the IFoA has recognized the paper I co-authored with my PhD advisor, Prof. Michael Ludkovski, on cause-of-death mortality in a multinational context." shared Nhan "This recognition is deeply meaningful to me—not only as a reflection of the work Prof. Ludkovski and I did together, but as a reminder of how advanced statistical methods can meaningfully shape actuarial applications, especially in healthcare. I’m excited to continue carrying this mission forward in my role at Arbital Health, where we combine data-driven insights, actuarial expertise, and scientific methodologies to advance value-based care and support smarter, more equitable healthcare systems." We are proud to work alongside Nhan — her hard work, determination, and vibrant personality embody the qualities Arbital Health values in our team. We’re fortunate to benefit from her expertise. This award affirms the importance of rigorous statistical thinking in solving complex problems not just in academic settings, but in the real-world environments where healthcare decisions are made. |
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“This recognition is deeply meaningful to me—not only as a reflection of the work Prof. Ludkovski and I did together, but as a reminder of how advanced statistical methods can meaningfully shape actuarial applications, especially in healthcare."
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Nhan’s achievement reflects a commitment to precision, depth, and innovation that resonates far beyond the page. We join the actuarial community in celebrating this well-deserved honor!
