Biraj Dahal

I am a PhD Candidate in Mathematics at the Georgia Institute of Technology, graduating in May 2026. I work in applied mathematics and data science, including generative modeling and scientific machine learning. More generally, I would like to apply mathematical frameworks (e.g. measure transport, differential geometry) to interesting problems, particularly involving high-dimensional data.

Email: bdahal6 at gatech dot edu


CV

Scientific Machine Learning

  1. Data-Driven Model Reduction using WeldNet: Windowed Encoders for Learning Dynamics. Preprint (processing on arxiv).
    Biraj Dahal, Jiahui Cheng, Hao Liu, Rongjie Lai, Wenjing Liao
  2. Generalization Error Guaranteed Auto-Encoder-Based Nonlinear Model Reduction for Operator Learning. Applied and Computational Harmonic Analysis, 2024.
    Hao Liu, \textbf{Biraj Dahal}, Rongjie Lai, Wenjing Liao

Data Science

  1. On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds. NeurIPS, 2022.
    Biraj Dahal*, Alex Havrilla*, Minshuo Chen, Tuo Zhao, Wenjing Liao (* denotes equal contribution)
  2. Topic Modeling and Sentiment Analysis of Global Climate Change Tweets. Social Network Analysis and Mining, 2019.
    Biraj Dahal, Sathish AP Kumar, Zhenlong Li