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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<meta name="description" content="BioCommons Lab - Open research on biological networks, memory, aging, and evolution" />
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<title>BioCommons Lab</title>
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<body>
<header>
<img src="assets/logo_banner.png" alt="BioCommons Lab Logo" />
<nav>
<a href="#about">About</a>
<a href="#projects">Research</a>
<a href="#team">Team</a>
<a href="#partners">Partners</a>
<a href="#contact">Contact</a>
<label class="toggle-wrapper">
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<span class="slider"></span>
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</header>
<section class="hero">
<h1>BioCommons Lab</h1>
<p>
An independent research collective studying how biological networks encode memory, reorganize across the lifespan, and evolve — from neural circuits to microbial populations.
</p>
</section>
<section id="about">
<h2>About Us</h2>
<p>
<strong>BioCommons Lab (BCL)</strong> is an open research collective focused on
<strong>network-level principles</strong> that govern memory, aging, and evolution.
We study how structure and dynamics shape function in complex biological systems —
spanning neural circuits, microbial gene networks, and evolving populations.
</p>
<p>
Our work bridges neuroscience, aging biology, and microbial evolution to ask a shared question:
<em>how do biological systems store information, adapt under pressure, and fail over time?</em>
We pursue this through open-access datasets, open-source experimental platforms,
and transparent computational frameworks designed to be reproducible and extensible.
</p>
</section>
<section id="projects">
<h2>Research</h2>
<div class="grid grid-2">
<div class="card">
<h3>Memory & Brain Aging</h3>
<p>
Investigating how neural network architecture supports learning and memory,
and how aging alters connectivity, stability, and information flow in the brain.
</p>
</div>
<div class="card">
<h3>Network & Systems Analysis</h3>
<p>
Quantitative analysis of biological networks using whole-brain imaging, population dynamics, and time-series data to characterize connectivity, coordination, and failure modes across scales.
</p>
</div>
<div class="card">
<h3>Microbial Evolution & Resistance</h3>
<p>
Experimental evolution and genome-scale perturbations to understand
how microbial populations adapt, diversify, and acquire antibiotic resistance
under selective pressure.
</p>
</div>
<div class="card">
<h3>Computational & Modeling Frameworks</h3>
<p>
Shared computational and statistical tools for comparing biological systems, including network representations, dynamical analyses, and model-driven interpretation of learning, adaptation, and breakdown.
</p>
</div>
</div>
</section>
<section id="team">
<h2>Core Team</h2>
<div class="grid grid-2">
<div class="card">
<h3>
<a href="https://gokulrajan.xyz/" target="_blank" style="color: inherit; text-decoration: none;">
Gokul Rajan, PhD
</a>
</h3>
<p>Co-Founder & Research Lead</p>
<p>Neuroscientist, Champalimaud Foundation, Lisbon</p>
</div>
<div class="card">
<h3>
<a href="https://anuradhamukherjee.xyz/" target="_blank" style="color: inherit; text-decoration: none;">
Anuradha Mukherjee, PhD
</a>
</h3>
<p>Co-Founder & Research Lead</p>
<p>Molecular Biologist, University of Zurich</p>
</div>
</div>
</section>
<section id="partners">
<h2>Partners</h2>
<p>
BioCommons Lab collaborates with academic laboratories, open science communities,
and independent researchers worldwide to pursue system-level questions in
neuroscience, aging, and evolutionary biology.
</p>
<p>
All BioCommons Lab projects prioritize open data, open methods, and transparent
funding, with the explicit goal of building shared scientific infrastructure
for the public good. Wherever possible, datasets, code, and experimental
workflows are designed to be reusable beyond a single project or institution.
</p>
<p>
We welcome partnerships aligned with rigorous, open, and collaborative approaches
to biological research—particularly efforts that benefit from cross-system
comparison, quantitative analysis, and long-term reuse.
</p>
</section>
<section id="contact">
<h2>Contact</h2>
<p>📧 <a href="mailto:biocommonslab@gmail.com">Write to us</a></p>
<p>🤝 <a href="https://opencollective.com/biocommons-lab" target="_blank">Support our work via Open Collective</a></p>
<p>🔗 <a href="https://www.linkedin.com/company/biocommons-lab" target="_blank">LinkedIn</a></p>
<p>💻 <a href="https://github.com/BioCommons-Lab" target="_blank">GitHub</a></p>
</section>
<footer>
<p>© 2025 BioCommons Lab. All rights reserved.</p>
</footer>
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