Viska Wei

Viska Wei

Physics · Machine Learning · Data Science

PhD Student, Applied Mathematics & Statistics / CS
Johns Hopkins University

I build bridges between physics and machine learning — from quantum field theory to vision transformers for stellar spectroscopy. My work spans stochastic processes, deep learning, and computational astrophysics.

Projects

Research and side projects spanning physics, machine learning, and data science.

IPS Unlabeled Particle
Interacting particle systems with unlabeled particles and mean-field limits
Stochastic ProcessesMathematical PhysicsMean-Field Theory
2024
Physics-Informed ML
Physics-informed neural networks for stellar atmosphere parameter estimation
Physics-InformedMLStellar Physics
2024
Sketch & Scale
Dimensionality reduction pipeline: PCA → random sketching → UMAP for large-scale data
Data ScienceDimensionality ReductionAlgorithms
2023 · Code
Charm Yukawa Coupling
Probing charm quark Yukawa coupling at the LHC via Higgs production channels
Particle PhysicsQFTCollider Phenomenology
2020 · UC Berkeley
Cancer Subtype Clustering
Unsupervised clustering of cancer subtypes using multi-omics data with UMAP
BioinformaticsClusteringUMAP
2019 · IEEE Big Data · Paper