Versatile and Impact-Driven Data Analytics Expert: Harnessing Bioinformatics, Machine Learning, and Leadership Skills to Drive Innovation and Success in Teams and Organizations.
Welcome to Trent's personal website! Explore Trent's diverse expertise in data science, bioinformatics, machine learning, and data analytics. Learn about his background, experience, and projects, and see how his skills can benefit your organization. For hiring managers and recruiters, visit the specific pages on Bioinformatics, Data Science, or AI & ML to understand Trent's qualifications in these areas. To learn more about Trent's personal journey, visit the About Me page. For a comprehensive look at his professional experience, check out the Resume page. To get in touch with Trent, head to the Contact page.
This study presents the annotated transcriptome of the common morning glory, Ipomoea purpurea, and examines gene expression differences between herbicide-resistant and susceptible lines. The assembled transcriptome contains 65,459 transcripts, with 19 differentially expressed genes linked to herbicide resistance. This research not only identifies potential resistance loci for further investigation but also significantly expands genomic resources for this species and related plant families.
This project explores the use of neural networks to identify patterns in OHLC data for potential trading opportunities. By analyzing 21 ETFs and using LSTM neural networks, the study aims to predict short-term price movements and find the most effective rolling window size for training data, thus providing an edge in growing an account over time.
