Tri Utari

Developing a Variational Autoencoder (VAE) to reconstruct 3D micro-ARPES data and learning latent representations of high-dimensional spectral data. Implementing and optimizing the model using Python and deep learning frameworks.

Developing a Quantum AI workflow that combines GPT-based sequence modeling with quantum chemistry simulations. Implementing and benchmarking a transformer-guided ansatz generation pipeline using Python and quantum/ML tooling.

Studying radiative seesaw mechanisms in the scotogenic model for neutrino mass and the muon (g−2) anomaly. Analyzing charged lepton flavor violation and performing Python-based Monte Carlo simulations to validate theoretical predictions against experimental data.

Completed the WISER Quantum Program covering foundations of quantum computing and quantum algorithms. Topics included phase estimation, quantum Fourier transform (QFT), quantum simulation, and solving PDEs.

Researched ZnO and chitosan nanoparticles for antibacterial and UV-protective textiles. Synthesized nanoparticles and applied dip-coating methods to cotton-polyester fabrics.

Studied the Standard Model and its extensions for neutrino masses and lepton flavor violation. Applied quantum field theory to radiative seesaw mechanisms and performed Monte Carlo simulations for parameter exploration and theoretical analysis.

Assisted in laboratory work on gas thermometer experiments, Laplace constant measurement, and refractive index measurements of a liquid. Supported course laboratory delivery through hands-on experimental tasks.

Prepared fish protein hydrolysate from Rastrelliger kanagurta using crude tempeh protease. Evaluated nutritional effects through growth studies in Sprague Dawley rats and designed the experiment.

Participated in the MTV Nuclear Engineering Summer School covering nuclear engineering and simulation topics. Topics included gamma and neutron detection, Monte Carlo, radiation imaging, and fission.

Participated in the ASEAN School on Plasma and Nuclear Fusion (ASPNF). Covered plasma and nuclear fusion topics.

Participated in the Qiskit Global Summer School focused on core quantum computing concepts. Covered error correction, fault tolerance, quantum algorithms, quantum hardware, and quantum simulation.

Participated in Solstice of Foundations focusing on foundational topics in quantum physics. Covered agents and paradoxes, contextuality, foundations of quantum physics, quantum gravity, and quantum reference frame.

Completed digital and leadership training with emphasis on Python and team project work. Focused on applied learning through team-based activities.

Attended an International PhD Summer School on Neutrinos. Focused on neutrino-related topics.

Grade: 3.53/4.00

Activities and societies: Courses: Advanced quantum mechanics, Computational physics, Condensed matter, Elementary particles physics, Mathematical physics, Quantum physics, Statistical physics.

Undergraduate Physics student at Universitas Gadjah Mada (2021–2026), studying advanced quantum mechanics and computational physics. Achieved a GPA of 3.53/4.00.