Quantum MCMC for Bayesian Models
Exploring coherent quantum walks, Bayesian networks, and posterior inference through computational experiments.
Bayesian inference
Quantum algorithms
MCMC
About me
I am a student building a research profile at the intersection of Bayesian statistics, machine learning, and computational methods. This website collects my academic interests, projects, notes, and future work.
Research Direction
Bayesian inference, posterior sampling, uncertainty quantification, and methods for making probabilistic models more efficient.
Technical Interests
Python, PyTorch, scientific computing, probabilistic modeling, simulation, and experimental evaluation.
Academic Goal
Develop strong research projects and collaborate with professors working on Bayesian analytics, AI, and advanced computation.
Projects
Filter the cards below to explore different parts of my academic work.
Bayesian Neural Network Compression
Studying how posterior traces and covariance structure may reveal simpler, robust subnetworks.
BNNs
Pruning
Uncertainty
Applied ML Experiments
Classification, model comparison, and empirical analysis using Python-based machine learning pipelines.
Python
PyTorch
Evaluation
Academic Notes & Essays
Short research notes, exam summaries, project reports, and reading summaries from courses and independent study.
Writing
Research notes
Study
Optimal Stopping in MCMC
Investigating stopping rules, convergence diagnostics, and possible theoretical connections to efficient sampling.
Stopping rules
HMC/NUTS
Diagnostics
Future Directions
Connecting Bayesian methodology with quantum computing, neuromorphic computing, and scientific machine learning.
Research agenda
AI
Computation
Skills
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Python / Scientific Computing
85%
Bayesian Inference
80%
Machine Learning
78%
Research Writing
75%
Academic Timeline
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Now
Master’s / Research Development
Building research projects in AI, Bayesian inference, MCMC, and advanced computational methods.
2026
Research Projects
Developing manuscripts, experiments, and potential PhD research directions.
Next
Visiting / PhD Applications
Looking for advisors and research groups in Bayesian analytics, probability, and AI.
Contact
Let’s connect
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