Worked with the startup KORA (Kinetic Operating Room Assistant) on using camera-based vision to build a foundation for machine learning solutions in the operating room, that started with an autonomous lighting and camera system for image acquisition, object detection, and touchless operating area illumination.

Working alongside Grad Student Alex Cao in Dr. Amanda Hargrove's Lab to analyze RNA-small molecule ligand bonding in MALAT 1 and Coronavirus pseudoknots. Currently developing a QSAR model to accurately optimize binding characteristics and deep neural network in TensorFlow to translate binding optimization into new molecular SMILES strings.

• Led a wet-lab/dry-lab project to develop a novel diagnostic tool for Traumatic Brain Injury and neurodegenerative diseases based on genetic and proteomic biomarkers in serum, tissue, and CSF.• Worked in Dr. Kevin Wang's Lab at the UF Center for Neuroproteomics and carried out genotyping, ELISA, Immunohistochemistry, Sequencing, and Flow Cytometry.• Developed an RF/CNN algorithm in sk-learn with 98% AUC, results submitted for Patent-Pending.

• Planned and executed a foundational in vitro study analyzing oxidative stress and translocation of cathepsins initiated by photodynamic therapy and free-radicals on a model E. coli strain.• Utilized Biopython and CENTIPEDE to determine if exposure to PDT could inhibit/downregulate overexpressed prokaryotic transcription factors .• Over 100 cell cultures tested at various concentrations and light wavelengths, with subsequent electron microscope and bacteriophage lysate assay analysis