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Robertboy18 committed Aug 29, 2024
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Expand Up @@ -20,7 +20,7 @@ I am a Ph.D. student in Mathematics and Computer Science at Caltech under Profes

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I used to work with Professor <a href = "http://webdocs.cs.ualberta.ca/~whitem/">Martha White</a> and <a href = "https://sites.ualberta.ca/~amw8/" >Adam White (Google DeepMind)</a> at the Reinforcement Learning and Artificial Intelligence <a href = "http://rlai.ualberta.ca/)">(RLAI)</a> Lab led by <a href="http://incompleteideas.net/">Rich Sutton</a> and the Alberta Machine Intelligence Institute <a href = "https://www.amii.ca/">(Amii)</a>, as well as with Professor <a href = "https://www.math.ualberta.ca/~bowman/">John Bowman</a> in the Mathematics Department. I was a CSRMP Research Scholar at <a href = "https://research.google/outreach/csrmp/">Google AI</a> and collaborated with <a href = "https://www.microsoft.com/en-us/research/research-area/data-platform-analytics/">Microsoft Research</a> as a Data Science Intern. I also did research in Numerical Algorithms affiliated with the Pacific Institute of Mathematical Sciences <a href = "https://www.pims.math.ca/">(PIMS)</a> and the Applied Mathematics Institute <a href = "https://sites.ualberta.ca/~yauwong/AMI.htm">(AMI)</a> where I better contributed to the understanding and developing algorithms for Quasi - Linear PDE's, climate forecasting (AI Computational Team - <a href = "https://www.wishartlab.com/">Wishart Lab</a>), Healthcare (<a href = "https://thecvc.ca/">Canadian VIGOUR center</a>) and Explainable AI <a href = "https://sites.ualberta.ca/~amiixai/">(xAI)</a>.
I used to work with Professor <a href = "http://webdocs.cs.ualberta.ca/~whitem/">Martha White</a> and <a href = "https://sites.ualberta.ca/~amw8/" >Adam White (Google DeepMind)</a> at the Reinforcement Learning and Artificial Intelligence <a href = "http://rlai.ualberta.ca/)">(RLAI)</a> Lab led by <a href="http://incompleteideas.net/">Rich Sutton</a> and the Alberta Machine Intelligence Institute <a href = "https://www.amii.ca/">(Amii)</a>, as well as with Professor <a href = "https://www.math.ualberta.ca/~bowman/">John Bowman</a> in the Mathematics Department. I was a CSRMP Research Scholar at <a href = "https://research.google/outreach/csrmp/">Google AI</a> and collaborated with <a href = "https://www.microsoft.com/en-us/research/research-area/data-platform-analytics/">Microsoft Research</a> as a Data Science Intern. I also did research in Numerical Algorithms affiliated with the Pacific Institute of Mathematical Sciences <a href = "https://www.pims.math.ca/">(PIMS)</a> and the Applied Mathematics Institute <a href = "https://sites.ualberta.ca/~yauwong/AMI.htm">(AMI)</a>.
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I also am interested in giving back to the community by teaching and mentoring students and sharing my love for AI4Science & Math. Used to co-lead the ML Theory Reading Group at <a href="https://cohere.for.ai/">Cohere for AI</a>.
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## For an updated list of my research, see my [Google Scholar](https://scholar.google.ca/citations?view_op=list_works&hl=en&hl=en&user=5P1Uwy4AAAAJ) page.
<hr>

# Conference Proceedings and Workshops
Jiawei Zhao, **George, Robert Joseph**, Yifei Zhang, Zongyi Li and Anima Anandkumar. "Incremental Fourier Neural Operator". *NeurIPS 2022 Workshop AI4Science*, 2022. [[Paper](https://arxiv.org/pdf/2211.15188.pdf)], [[NeurIPS](https://nips.cc/Conferences/2022/ScheduleMultitrack?event=57971)]

# Conference Proceedings
**George, Robert Joseph**. "EDCDE - Extended Discovery of Closed-Form Differential Equations". *ICLR Tiny Paper*, 2023. [[Paper](https://openreview.net/forum?id=EVz_vcZQvvg&referrer=%5BAuthor%20Console%5D(%2Fgroup%3Fid%3DICLR.cc%2F2023%2FTinyPapers%2FAuthors%23your-submissions))], [[Codebase](https://github.com/Robertboy18/EDCDE-ICLR-2023)]
<hr>

# Workshops
Jiawei Zhao, **George, Robert Joseph**, Yifei Zhang, Zongyi Li and Anima Anandkumar. "Incremental Fourier Neural Operator". *NeurIPS 2022 Workshop AI4Science*, 2022. [[Paper](https://arxiv.org/pdf/2211.15188.pdf)], [[NeurIPS](https://nips.cc/Conferences/2022/ScheduleMultitrack?event=57971)]

**George, Robert Joseph**, Martha White, Adam White and Samuel Neumann. "Making Reinforcement Learning Experiments More Reproducible and Computationally Efficient". *Reverse Expo*, Alberta Machine Intelligence Institute, 2022. [[Poster](https://www.robertj1.com/assets/pdf/RL-Poster.pdf)], [[Codebase](https://github.com/Robertboy18/MinAtar-Faster)]

# Arxiv Preprints
**George, Robert Joseph**, Jiawei Zhao, Jean Kossafii, Zongyi Li and Anima Anandkumar. "Incremental Spatial and Spectral Learning of Neural Operators for Solving Large-Scale PDEs". arXiv preprint, 2024. [[Paper](https://arxiv.org/pdf/2211.15188.pdf)], [[Codebase](https://github.com/neuraloperator/neuraloperator)]

Rahman, Md Ashiqur, **George, Robert Joseph**, Anima Anandkumar et al. "Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs." arXiv preprint, 2024. [[Paper](https://arxiv.org/abs/2403.12553)], [[Codebase](https://github.com/ashiq24/CoDA-NO)]

# Presentations and Posters

**George, Robert Joseph**, Martha White, Adam White and Samuel Neumann. "Making Reinforcement Learning Experiments More Reproducible and Computationally Efficient". *Reverse Expo*, Alberta Machine Intelligence Institute, 2022. [[Poster](https://www.robertj1.com/assets/pdf/RL-Poster.pdf)], [[Codebase](https://github.com/Robertboy18/MinAtar-Faster)]

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# Undergraduate Honors Thesis
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**George, Robert Joseph**, and Xinwei Yu. “Numerical Analysis for real-time Nonlinear Model Predictive Control of Ethanol Steam Reformers”. *Canadian Undergraduate Mathematics Conference*, 2022. [[Presentation](https://www.robertj1.com/assets/pdf/CUMC-2022-Presentation.pdf)], [[Paper](https://arxiv.org/abs/2210.13745)]
<hr>

# Summer Schools Attended
# Talks/Presentations

Foundational Models for PDEs, Scientific Foundation Models, University of Michigan, 2024.

CoDomain Attention Neural Operator, AI+Science, University of Chicago, 2024.

Summer School in Logic and Formal Epistemology, Carnegie Mellon University, 2022.

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