Chaitanya Kapoor

I am a post-baccalaureate research assistant at UC San Diego, advised by Prof. Meenakshi Khosla. My work focuses on understanding the underlying neural representations of biological and artifical neural networks.

At present, I am also being mentored by Prof. Talmo Pereira at the Salk Institute of Biological Sciences, where I am working on the development of pose estimation methods for quantification of animal behavior.

I recently graduated from BITS Pilani, majoring in Electrical and Electronics Engineering. I was also a visiting student at the Senseable Intelligence Lab, under the supervision of Prof. Satrajit Ghosh, where I completed my undergraduate thesis.

In the past, I have been mentored by Prof. Ramesh Raskar at MIT Media Lab. I have also had the privilege of being a visiting student under the guidance of Prof. Donglai Wei and Prof. Ed Boyden at the McGovern Institute of Brain Research.

My research interests lie at the intersection of Deep Learning and Neuroscience. Through this lens, my aim is to design biologically-constrained neural networks by reverse engineering underlying neural computations in mammalian brains.

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Bridging Critical Gaps in Convergent Learning: How Representational Alignment Evolves Across Layers, Training, and Distribution Shifts

Chaitanya Kapoor, Sudhanshu Srivastava, Meenakshi Khosla

Under Review, 2025

paper

Multiplexed Expansion Revealing for Imaging Multiprotein Nanostructures in Healthy and Diseased Brain

Jinyoung Kang, Margaret E. Schroeder, Youngmi Lee, Chaitanya Kapoor, Eunah Yu, Tyler B. Tarr, Kat Titterton, Menglong Zeng, Demian Park, Emily Niederst, Donglai Wei, Guoping Feng, Edward S. Boyden

Nature Communications, 2024

paper / code / news story

LUMIN: Light-sheet Microscopy Analysis Unified with Distributed and Domain-Randomized Generative Models

Chaitanya Kapoor

Senior Thesis, MIT, 2024

pdf / code

RnR-ExM: Robust Non-Rigid Registration Challenge for Expansion Microscopy Volumes

Emma Besier, Ruihan Zhang, Yosuke Bando, Yves Quemener, Chaitanya Kapoor, Mansour Alawi, Malte Hoffman, Adrian Dalca, Adria Casamitjana, Ignacio Arganda-Carreras, Edward S. Boyden, Hanspeter Pfister, Donglai Wei

ISBI Challenge, 2023

code / website

Attention-enabled Deep Neural Network for Enhancing UAV-Captured Pavement Imagery in Poor Visibility

Chaitanya Kapoor, Aadith Warrier, Mohit Singh, Pratik Narang, Harish Puppala, R. Srinivas, Ajit Pratap Singh

IEEE MIPR, 2023

paper

Fast and Lightweight UAV-based Road Image Enhancement Under Multiple Low-Visibility Conditions

Chaitanya Kapoor, Aadith Warrier, Mohit Singh, Pratik Narang, Harish Puppala, R. Srinivas, Ajit Pratap Singh

PerCom Workshop, 2023

paper


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