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NiloufarZK/README.md

Hi, I'm Niloufar Zakariaei

ML Researcher @ Computational Geoscience Inc · Machine Learning · Inverse Problems · Scientific Computing · GenAI

I build physics-informed deep learning models that bridge the gap between mathematical theory and real-world applications — from weather prediction to medical image analysis. My work focuses on designing architectures grounded in differential equations and optimization theory to make neural networks more efficient, interpretable, and scientifically meaningful.

Google Scholar LinkedIn X (Twitter) OpenReview


Research Interests

  • Physics-Informed Deep Learning — Integrating PDEs (advection, diffusion, reaction) into neural architectures for improved modeling of spatiotemporal phenomena
  • Optimization for Deep Learning — Multiscale and multigrid strategies for efficient training of CNNs on high-resolution data
  • Inverse Problems & Scientific Computing — Parameter estimation and data-driven solutions for forward/inverse problems
  • Medical Image Computing — ML-driven precision medicine

Selected Publications

Advection Augmented Convolutional Neural Networks

N. Zakariaei*, S. Rout*, E. Haber, M. Eliasof NeurIPS 2024 A physically inspired CNN architecture using a novel semi-Lagrangian push operator for advection, enabling non-local information propagation in spatiotemporal prediction tasks such as weather forecasting and video prediction. [Paper] [Code]

Multiscale Training of Convolutional Neural Networks

S. Ahamed, N. Zakariaei, E. Haber, M. Eliasof TMLR 2025 A Multilevel Monte Carlo–inspired approach that uses coarse-to-fine gradient estimation and full-multiscale training to reduce CNN training costs by 4–16× on high-resolution data while preserving accuracy. [Paper]

📊 47+ citations across publications · Full list on Google Scholar


Technical Skills

Domain Tools & Frameworks
Programming Languages Python · C/C++ · MATLAB · Julia
ML Frameworks & Libraries PyTorch · JAX · Scikit-learn · NumPy · SciPy · OpenCV · Pandas
LLM & Generative AI Tools Hugging Face Transformers · OpenAI API · LangChain · LlamaIndex · vLLM · PEFT · LoRA · SentenceTransformers
DevOps & Version Control Docker · Git

News

🎓 Just defended my PhD! Super lucky to have been supervised by Prof. Eldad Haber at UBC.

🔬 Currently working on Overcoming Spectral Bias in Neural Operators.

📫 Reach me: LinkedIn

Popular repositories Loading

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  6. multiscale-gradient-estimation multiscale-gradient-estimation Public

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    Official implementation of Multiscale Gradient Estimation (MGE) and Full-Multiscale training for reduced compute training of CNNs via multiscale gradient estimation (TMLR 2026).

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