Master's Student in Physics (Universitas Indonesia)A Master's student in Physics at Universitas Indonesia, with research experience in quantum computing, quantum machine learning, and scientific computing. I develop quantum algorithms and QML models using Python and Qiskit through research at BRIN's Quantum Physics Research Center, alongside work on hybrid ML-QML research and high-performance computing.
I work mostly from the physics side: building intuition for a model first, then testing it in small experiments before scaling it into real pipelines. I am an enthusiastic Linux user and spend a lot of my time on HPC clusters, numerical methods, and quantum machine learning workflows.
",
which does not match the baseurl ("") configured in _config.yml.
baseurl in _config.yml to "".
A fusion of Machine Learning and Quantum Machine Learning for complex neuroimaging analysis. Awarded and funded in Room 10 of the AMLI Student Creativity Program.
ML-QMLMedical AIPythonNeuroimaging
2025 [Code]
ML-QML model optimization for weather prediction using local Indonesian data and hybrid algorithms.
Quantum MLPythonData ScienceWeather Prediction
2025 [Code]
Quantum Machine Learning implementation and experimentation in Julia for high-performance scientific workflows.
JuliaQMLScientific Computing
2025 [Code]
A deep learning approach for analyzing and inverting ground-penetrating radar data with neural networks.
Deep LearningPythonImage ProcessingGPR
2025 [Code]

Undergraduate Thesis - Universitas Negeri Malang 2026
Perbandingan model Machine Learning klasik dengan model Quantum Machine Learning untuk peramalan cuaca di Indonesia. Fokusnya pada apakah varian kuantum memberi perbaikan yang nyata dibanding baseline klasik yang kuat, diuji pada data cuaca lokal dengan split dan metrik yang sama.
Undergraduate Thesis - Universitas Negeri Malang 2026
Perbandingan model Machine Learning klasik dengan model Quantum Machine Learning untuk peramalan cuaca di Indonesia. Fokusnya pada apakah varian kuantum memberi perbaikan yang nyata dibanding baseline klasik yang kuat, diuji pada data cuaca lokal dengan split dan metrik yang sama.

Internship Project Report 2025 Spotlight
Penelitian ini berfokus pada salah satu metode QML yang paling menonjol untuk aplikasi jangka pendek pada era Noisy Intermediate-Scale Quantum (NISQ), yaitu metode berbasis kernel kuantum.
Internship Project Report 2025 Spotlight
Penelitian ini berfokus pada salah satu metode QML yang paling menonjol untuk aplikasi jangka pendek pada era Noisy Intermediate-Scale Quantum (NISQ), yaitu metode berbasis kernel kuantum.
A short note on how I build understanding in quantum computing through physics fundamentals, coding practice, and repeated experimentation.
Quantum ComputingLearningResearch 4 min read
Quantum Machine Learning is still an emerging field, but I see strong value in exploring how it can complement medical analysis workflows rather than replace classical methods.
QMLMedical AIResearch 5 min read