
About
Nikhil Anand is a Senior Research Scientist at the Kempner Institute for Artificial and Natural Intelligence at Harvard University. He previously worked as a Research Scientist at Amazon focusing on NLP, and as a postdoctoral fellow in theoretical physics at McGill University. He completed his PhD in Physics at Johns Hopkins University in 2018.
- Harvard University (2024–present): Senior Research Scientist, Kempner Institute
- Amazon (prior to 2024): Research Scientist in NLP and LLM infrastructure
- McGill University (2018–2021): Simons Foundation Postdoctoral Fellow in theoretical physics
- Johns Hopkins University (2018): PhD in Physics
- UC Berkeley (2013): Bachelor’s in Physics
His research bridges AI systems and quantum physics, focusing on:
- Understanding mechanisms of large foundation models
- Improving model efficiency and capability in API/tool usage
- Operational deployment of production language models
- Nonperturbative methods in quantum field theories
Scientific awards include the Simons Foundation Postdoctoral Fellowship. He maintains active contributions to open-source Jekyll templates for academic websites and collaborates with PIs, scholars, and engineers at the Kempner Institute.
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