c-elegans

High-school research portfolio: 2 peer-reviewed publications (IEEE, IJHSR) + 3 active projects spanning quantum-inspired ML, computational biology, biomedical imaging, wildfire RL, and science-education research. Stanford Medicine, UCLA COSMOS & UCSB SRA affiliated.

Simulate the C. Elegans worm brain in your browser and interact with the worm as it moves around

A 302 neuron network on the real C. elegans wiring diagram, with a steering layer for local language models.

WormPose: Image synthesis and convolutional networks for pose estimation in C. elegans

[Comms Bio 2023] Official Code for Fast Detection of Slender Bodies in High Density Microoscopy Data

Setting up C elegans as an RL environment.

Repository for WormSwin: Instance segmentation of C. elegans using vision transformer as appeared in Nature Scientific Reports 2023.

Implementation of CShaper https://doi.org/10.1038/s41467-020-19863-x

Fluorescent analysis of individualized C. elegans without using neural networks

Active inference sensorimotor simulations: artificial life built from PAULA neurons, biological connectomes (C. elegans), and MuJoCo physics

Closed-loop brain-architecture comparison on the C. elegans connectome: 26 pluggable brains, biologically-faithful sensing, learning and evolution, real-worm behavioural validation

Newtonian mechanics model for C. elegans locomotion

SIM-CE is an advanced, user-friendly modeling and simulation environment in Simulink, for performing multi-scale behavioral analysis of the nervous system of Caenorhabditis elegans (C. elegans).

[Mathematics 2023] A Connectome-Based Digital Twin Caenorhabditis elegans Capable of Intelligent Sensorimotor Behavior

Inverse reinforcement learning on real trajectories of active microscopic swimmers (starting with C. elegans chemotaxis), to infer the reward function they behave as if optimizing — MaxEnt IRL, Deep MaxEnt IRL, AIRL.

Echo State Network library for reservoir computing.

Development and training of advanced machine learning neural models designed to simulate worm cognition in response to the unique stressors of space, such as increased radiation and altered gravity and understand impact on worm behavior and cognition.

Real-time C. elegans active-inference simulation streamed over WebSocket to a browser canvas — add/remove food live

Self-supervised vision-only world model for C. elegans — Phase 0 software validation on public data, pre-registered.

Bizzare conglomerate of C. Elegans and neuroscience thoughts.