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Work Experience
Highlighting key professional experiences and contributions that have shaped my career.
Research Assistant
Research Assistant at NC State University
Conducted research in two lab groups (Dr. Peter Fedkiw and Dr. Orlin Velev), focusing on advanced materials and polymer applications for energy storage.
Academic Research
Exploring cutting-edge research in materials science, battery technology, and advanced polymer applications with published academic contributions.
Applications of Soft Dendritic Colloids in Li-Ion Batteries with Advanced Structure-Derived Performance
Jerush Christopher, Research Team
This research explores the innovative applications of soft dendritic colloids in lithium-ion battery technology, focusing on how advanced structural properties can significantly enhance battery performance, efficiency, and longevity. The work demonstrates novel approaches to improving energy storage systems through materials science innovations.
Advanced Polymer Materials Research
Jerush Christopher, Collaborators
A comprehensive study on advanced polymer materials and their applications in modern technology. This research investigates the structural properties and performance characteristics of novel polymer compositions, contributing to the development of next-generation materials with enhanced functionality and sustainability.
Predicting Polymer Morphologies Using Machine Learning
Jerush Christopher, Michael Petrecca, Rachel Bang, Dr. Peter Fedkiw, Dr. Orlin Velev
A poster presentation on using machine learning to predict polymer morphologies and their potential applications in energy storage.
My Projects
A showcase of digital experiences that push boundaries, solve real problems, and inspire innovation across different domains.
Personal Portfolio Website (Voice AI)
This personal portfolio website integrates an intelligent voice assistant powered by Hume AI. It features real-time emotion detection and natural conversation flow. The voice agent provides dynamic visual feedback that responds to emotional context, enhancing user interaction.
Predicting Polymer Morphologies Using Machine Learning
As a research assistant, I developed a machine learning model to predict polymer morphologies, with potential applications in energy storage. This project involved data analysis, model training, and presenting findings at a capstone event.