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research.html
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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="Research Experience - Madison Butchko">
<meta name="keywords" content="Madison Butchko, Research, Physics-Informed Neural Networks, Yale, Physics">
<title>Madison Butchko | Research</title>
<link rel="stylesheet" href="styles.css">
</head>
<body>
<header>
Madison Butchko
</header>
<!-- Navigation bar -->
<nav>
<ul>
<li><a href="index.html">About</a></li>
<li><a href="research.html" class="active">Research</a></li>
<li><a href="experience.html">Experience</a></li>
<li><a href="creativework.html">Creations</a></li>
</ul>
</nav>
<div class="content">
<h1>Research</h1>
<!-- Research Position 1 -->
<h3>Full-time Undergraduate Researcher, Mechanical Engineering</h3>
<p><em>Oakland University, Professor Sarah Beetham | Fall 2024 – Present</em></p>
<ul>
<li>Specializing in Physics-Informed Neural Networks (PINNs) and Kernel-based Artificial Neural Networks (KANN) to solve mechanical engineering problems.</li>
<li>Developing a PINN in Python to model a pendulum forcing problem, integrating physical constraints and differential equations for realistic simulations.</li>
<li>Aiming to improve computational efficiency and accuracy in predicting dynamic mechanical systems, with applications in robotics, vibration analysis, and control systems.</li>
</ul>
<!-- Research Position 4 -->
<h3>National Science Foundation Researcher (REU Fellow)</h3>
<p><em>Yale University, Professor Simon Mochrie | Summer 2022</em></p>
<ul>
<li>Awarded $8,500 REU fellowship to conduct research on Single Molecule Optical Tweezers Measurements of nucleosomes.</li>
<li>Utilized fluorescence microscopy and optical tweezers to track real-time protein movement along nucleosomes, studying their behavior under varying forces (binding, sliding, detachment).</li>
<li>Studied Brownian diffusion to quantify protein motion, providing insights into protein-DNA interactions and gene regulation.</li>
</ul>
<!-- Research Position 5 -->
<h3>National Science Foundation Researcher (REU Fellow)</h3>
<p><em>Yale University, Professor Corey O'Hern | Summer 2021</em></p>
<ul>
<li>Awarded $8,500 NSF fellowship for research on the cell wall structure of flowering plants.</li>
<li>Simulated mesophyll tissue formation using MATLAB and analyzed data with Fiji software.</li>
<li>Created computational models of biological systems with deformable particle models, including coarse-grained simulations of crawling cells.</li>
<li>Investigated mesophyll tissue development, demonstrating how airspace forms through cell wall growth and remodeling.</li>
</ul>
<!-- Research Position 2 -->
<h3>Undergraduate Student Researcher, Energy Science Institutes </h3>
<p><em>Yale University, Professor Steve Konenzy | 2022 – 2024</em></p>
<ul>
<li>Focused on advancing Perovskite solar cells, investigating copper thiocyanate (CuScn) as a hole transport material.</li>
<li>Utilized a cryostat to explore the effects of humidity on cell performance and stability.</li>
<li>Applied spin coating techniques to fabricate CuScn samples for testing under varying humidity levels.</li>
<li>Developed Python scripts for data analysis, interpreting results related to material efficiency and degradation.</li>
</ul>
<!-- Research Position 3 -->
<h3>Biophysics Research Assistant, Quantitative Biology Institute</h3>
<p><em>Yale University, Sweeney Lab, Professor Allison Sweeney | 2024</em></p>
<ul>
<li>Researched hyperuniformity in black spruce forests and giant clams, examining spatial properties contributing to resilience and efficiency.</li>
<li>Analyzed images using Origin software to quantify patterns of hyperuniformity.</li>
</ul>
<!-- Research Position 6 -->
<h3>Materials Science Student Researcher</h3>
<p><em>Yale University, Professor Amit Dayte | Spring 2021</em></p>
<ul>
<li>Operated a gas pycnometer and prepared samples using various sanding techniques.</li>
<li>Conducted nano-indentation studies and generated stress-strain curves in Origin for material strength analysis.</li>
</ul>
</div>
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