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README.md

@@ -6,10 +6,27 @@ Dissertation: "_Accelerating Theoretical Anharmonic Vibrational Analyses with Ma
 
 ### B.S., Biochemistry | Southern Oregon University (_June 2019_)  
 
+Capstone Thesis: “_Evaluation of Deep Eutectic solvents as extraction media for flavonoids from Mahonia aquifolium_”
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 ## Experience
 
+### Graduate Research Assistant
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+- Led research efforts in applying machine learning methods to simulate solid material properties using neural network potentials (NNPs), leading to a 100x reduction in the prediction time of desired material properties.
+- Applied advanced Graph Convolutional Neural Networks (GCNs) expertise to revolutionize computational chemistry, driving automated data distillation processes for efficient data handling and annotation reduction.
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+- Utilized distributed training strategies to scale model training across multiple GPUs on HPC clusters, allowing for rapid prototyping and reducing training time to production by 20 %.
+- Presented results/findings at technical conferences and furnished several publications highlighting the application of techniques to simulate material properties.
+- Created compelling and informative data visualizations to effectively communicate complex insights and trends to diverse audiences, resulting in enhanced understanding and informed decision-making.
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+- Designed and implemented automated methodologies to generate and process high-quality datasets from unstructured data on state-of-the-art high-performance computing resources, reducing the time to generate datasets for material property prediction by 75 %.
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+
 ## Projects
 
 ## Presentations
 
+-  “_Anharmonicity of Ice-XI with the VSCF and VCI Models_”, UVM Student Research Conference 2020, Poster Presentation
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+
 ## Publications