Bio

- Proven track record of successful product development from early stage inception to deployment with strong emphasis on product strategy. - 10+ years experience developing Bayesian methods, global optimization, machine learning algorithms and deploying them for industrial applications in production. - Broad interdisciplinary background in scientific research in aerospace engineering, probabilistic physics, machine learning and optimization with 50+ international publications, 18+ Patents granted, 990+ citations with a h-index of 13. - Passionate about enhancing the physical world with mathematical tools - Hyperscaling global data science and product teams to drive exponential growth. Interests: Deep Learning, Machine Learning, Bayesian Statistics, Optimization, Uncertainty Quantification, Probabilistic Physics, Nanomaterials, Nanocomposites