From 31 May to 29 June 2025, Dr. Sutrisno participated in a month-long academic program at the Isaac Newton Institute (INI) UK. The program included two intensive workshops and a variety of scholarly discussions, lectures, and collaborative forums that enriched both his research perspective and professional development. This program was funded by Simons Foundation through the Ramanujan Fellowship program.
Workshop 1: Calibrating Prediction Uncertainty
2–6 June 2025
The first workshop, Calibrating Prediction Uncertainty: Statistics and Machine Learning Perspectives, brought together researchers from statistics and machine learning to examine methodologies for calibrating probabilistic predictions. Sessions focused on clarifying diverse concepts of calibration, while also exploring open problems involving multivariate and non-Euclidean outcomes. Particular attention was given to calibration in Gaussian processes, kernel methods, deep learning, and generative models, with the goal of building synergies between statistical and machine learning approaches.
Workshop 2: Accelerating Statistical Inference and Experimental Design
23–27 June 2025
The second workshop, Accelerating Statistical Inference and Experimental Design with Machine Learning, highlighted how modern machine learning can accelerate statistical inference, experimental design, and scientific discovery. The program featured research talks, tutorials, and poster sessions, alongside dedicated time for informal discussions. Tutorials offered background on essential topics such as experimental design and diffusion models.
Scholarly Engagement and Collaboration
Beyond the workshops, Dr. Sutrisno engaged actively in lectures, academic forums, and interdisciplinary discussions, exchanging knowledge with faculty, researchers, and peers from diverse backgrounds. He also had the chance to interact with the workshop organisers: David Ginsbourger (Universität Bern), Thordis Thorarinsdottir (University of Oslo; Norwegian Computing Centre), Richard Wilkinson (University of Nottingham), and Johanna Ziegel (ETH Zürich). Conversations addressed contemporary issues in higher education, innovative technologies in research, and interdisciplinary methodologies, providing an excellent platform for collaborative problem-solving and knowledge sharing.
This academic experience at INI UK proved highly beneficial for Dr. Sutrisno, offering not only exposure to cutting-edge research but also opportunities to broaden his professional network. By engaging in both theoretical and applied discussions, he was able to refine his ideas, gain fresh perspectives, and strengthen skills essential for future research and teaching activities. Overall, the program was a significant step in Dr. Sutrisno’s academic journey, fostering collaboration, innovation, and continued growth.