Former pre-med student and current scientist at the Huntsman Cancer Institute, looking to jump from academia into Machine Learning/ AI/ Engineering industry. Professional experience working with large quantitative datasets. Strong background in STEM, critical thinking, and creative problem-solving. Quick learner, with a passion for innovation, collaboration, and progress - professionally, intellectually, and personally. Looking to work with and learn from the best and brightest trailblazers in AI. Hoping to be part of something that will change the world for the better in the process.SOFTWARE:Python, Pandas, Jupyter Notebooks, NumPy, SciPy, Keras, Scikit-Learn, Git, Matplotlib, MATLAB, SQL, Microsoft Excel, TensorFlowDATA SCIENCE:GraphPad Prism, Fiji/ ImageJ, LiveCyte, Experimental Design, Exploratory Data Analysis, Hypothesis Testing, Statistics, Supervised Machine Learning, Unsupervised Machine learning, Research & Development, Big DataMACHINE LEARNING & ALGORITHMS:Classification, Clustering, Convolutional Neural Networks, Decision Trees, Gradient Descent, Linear Regression, Logistic Regression, LSTM, Random Forest, Deep Learning, Recommendation Systems, Reinforcement Learning, Natural Language ProcessingSTEM:Algebra, Calculus, Optimization, Derivatives, Cellular Biology, Molecular Biology, Anatomy & Physiology, Dermatology, Oncology, Research Writing, Cell Culture, Tissue Culture, CRISPR-------------------------------------------------------------------FEATURED PROJECTS:Barker, K. L., Boucher, K. M., & Judson-Torres, R. L. (2020). Label-free classification of apoptosis, ferroptosis and necroptosis using digital holographic cytometry. Applied Sciences, 10(13), 4439. https://doi.org/10.3390/app10134439McNeal, A. S., Belote, R. L., Zeng, H., Urquijo, M., Barker, K., Torres, R., Curtin, M., Shain, A. H., Andtbacka, R. H. I., Holmen, S., Lum, D. H., McCalmont, T. H., VanBrocklin, M. W., Grossman, D., Wei, M. L., Lang, U. E., & Judson-Torres, R. L. (2021). BRAFV600E induces reversible mitotic arrest in human melanocytes via microrna-mediated suppression of AURKB. ELife, 10. https://doi.org/10.7554/elife.70385