Working in the Neural Data Science (NerDS) Lab under the supervision of Prof. Eva Dyer. My research focuses on:

• Foundation models and large language models
• Diffusion models for time series forecasting
• Multi-modal representation learning
• Optimal transport theory and applications
• Neural signal processing and analysis

Conducted research in machine learning and computational neuroscience under Prof. Eva Dyer, focusing on:

• Deep generative models and variational methods
• Contrastive learning and representation learning
• Optimal transport theory and applications
• Bayesian inference and Monte Carlo methods
• Time series analysis and forecasting
• Neural data science and computational neuroscience

Worked on bioinformatics and computational biology projects, including:

• Gene network modeling and analysis
• Energy landscape analysis for biological systems
• Stochastic dynamics and cell state transitions
• Machine learning applications in biology