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Robertboy18 committed Nov 14, 2024
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&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;<a href = "https://www.robertj1.com/news/">[News]</a>
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I am a 2nd year Ph.D. student in Math & Computer Science at Caltech under Professor <a href = "http://tensorlab.cms.caltech.edu/users/anima/">Animashree Anandkumar (Nvidia)</a>. I work in the Artificial Intelligence and Machine Learning Group <a href="https://www.cms.caltech.edu/research/artificial-intelligence-and-machine-learning">(AI4Science)</a> group. I graduated with the Dean's Silver Medal in Science from the University of Alberta with a degree in Honors Math & Computer Science. I have 3 main research interests:
I am a 2nd year Ph.D. student in Mathematics & Computer Science at Caltech under Professor <a href = "http://tensorlab.cms.caltech.edu/users/anima/">Animashree Anandkumar (Nvidia)</a>. I work in the Artificial Intelligence and Machine Learning Group <a href="https://www.cms.caltech.edu/research/artificial-intelligence-and-machine-learning">(AI4Science)</a> group. I graduated with the Dean's Silver Medal in Science from the University of Alberta with a degree in Honors Mathematics & Computer Science. I have 3 main research interests:
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&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 1. AI4Science (Theory + Applications + Neural Operators).<br>
&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 2. AI4Math (Theorem proving in Lean + Autoformalization + LLM reasoning).<br>
&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 3. Optimization and Efficient training of Foundational models.
&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;1. AI4Science (Theory + Applications + Neural Operators).<br>
&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;2. AI4Math (Theorem proving in Lean + Autoformalization + LLM reasoning).<br>
&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;3. Optimization and Efficient training of Foundational models.

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