Arjun Karuvally in

Arjun Karuvally

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Postdoctoral Fellow at Salk Institute for Biological Studies
📍 Amherst, Massachusetts, United States

Arjun Karuvally is a Postdoctoral Fellow at the Salk Institute for Biological Studies, specializing in the theoretical foundations of artificial intelligence. With a Ph. D. in Computer Science from the University of Massachusetts Amherst, his research focuses on how neural networks, particularly recurrent architectures and energy-based models, store and process memory.

He is passionate about exploring how intelligence emerges from computation and aims to bridge complex mathematical ideas with practical AI systems. His work involves developing new frameworks to push the boundaries of what artificial intelligence can achieve.

Unique fact: His research explores how "traveling waves" in neural networks can function as a form of working memory, mimicking a fundamental phenomenon observed in the brain.

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Experience
7 Years
Current Role
Postdoctoral Fellow
Job Level
Mid-senior
Location
Amherst, Massachusetts, United States
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Priorities

Topics Arjun cares about

Neural Memory Models
His Ph. D. thesis and numerous publications focus on creating new frameworks for memory in AI, such as the General Sequential Episodic Memory Model (GSEMM).
Recurrent Neural Networks
A core area of his expertise, he investigates the mechanisms of information storage and manipulation in RNNs, as detailed in his thesis on dynamic energy landscapes.
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Career

Work history

3-2025
Postdoctoral Fellow
Salk Institute for Biological Studies
9-2021 - 4-2025
Research Assistant
University of Massachusetts Amherst
1-2019 - 9-2021
Research Assistant
University of Massachusetts Amherst
5-2019 - 8-2019
Data Scientist
University of Massachusetts Amherst
5-2018 - 8-2018
Developer
Google Summer of Code
In the press

Media appearances

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Education
1-2019 - 9-2024
Doctor of Philosophy - PhD
University of Massachusetts Amherst
2017 - 2021
MS
University of Massachusetts Amherst
Social presence
in
Behavioral profile

DISC profile (public)

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