Experienced data scientist, advanced quantitative microscopist, and biophysicist with a strong, broad background in life sciences data. I specialize in applying advanced analytical, machine, and deep learning techniques to complex biological data, with a proven track record in developing novel approaches for life sciences and imaging data. I thrive in complex, open-ended problems, with a strong interest in the overlap and application of geometric and topological theory in AI, quantum machine learning and computing, together with physics-informed neural networks.My expertise spans a wide range of technical skills and areas, including data science & analytics, mathematical concepts, machine learning & AI, and various toolsets. I'm proficient in time series analyses, statistical analyses, feature engineering, anomaly detection, data & metadata ETL, databases, dashboards & data storytelling, cloud computing (AWS, Azure, DataBricks), version control, hypothesis testing, data mining, Bayesian inference, and 3D/4D visualizations & analyses. My mathematical background includes probability and statistics, multivariate calculus and linear algebra, signals processing, analytic geometry, optimization techniques, topology, and complex algebra.In machine learning and AI, I have experience with deep learning (CNN, GAN; StarDist, Cellpose, FLI-Net, Noise2Void), Graph Neural Networks (GIN, GCN, GAT), traditional machine learning techniques, computer vision, clustering methods, dimensionality reduction, and interpretability tools. I'm skilled in various programming languages and frameworks, including Python, R, Matlab, Java (ImageJ/Fiji), SQL, TensorFlow, PyTorch, Scikit-learn, PyG, and NetworkX, among others.Additionally, I have extensive experience in microscopy and imaging techniques, including light sheet fluorescence microscopy (LSFM), Two-photon laser scanning microscopy (TPLSM), Stimulated emission depletion (STED), Fluorescence lifetime imaging microscopy (FLIM), and many more advanced imaging methods.Throughout my career, I've held research positions at Elephas and Emory University, where I've led data science teams, developed novel analytical approaches, and contributed to cutting-edge research in biophysics and imaging. My work has involved projects in transcriptomics, secretomics, flow cytometry, histology, multi-photon imaging, and fluorescence lifetime imaging, among others. I'm passionate about pushing the boundaries of data science in life sciences and am always eager to tackle new challenges in this rapidly evolving field.