Alexander Morrise, PhD

Dr. Alexander Morrise is a highly accomplished data scientist specializing in machine learning, with a focus on delivering end-user products through deep and fully online learning paradigms. He excels in providing immediate adaptive learning frameworks for companies, offering real-time insight and recommendations as data streams in. His expertise extends to various applications like time series analysis, user behavioral data, content recommendation, and decision optimization across sectors such as finance, manufacturing, and human management.

His skill set includes deep learning architectures, Bayesian inference, matrix factorizations, natural language processing, text mining, context-aware recommenders, online learning environments, algorithms, correlation and causation analytics, mathematical analysis, business analytics, technical writing, technical sales, and dashboard creation. In the field of theoretical physics and mathematics, Dr. Morrise has delved into areas like quantum gravity, string theory, statistical physics, tensor analysis, arithmetic geometry, and more, showcasing a deep understanding of complex theoretical concepts.

Dr. Morrise's educational background is equally impressive, with experiences as a visiting scholar in theoretical and mathematical physics at Princeton University, a research assistant professor in string theory at Universidad de Santiago de Compostela, a Ph.D. holder in string theory and high energy theory from the University of California, Santa Cruz, and a bachelor's degree in physics and mathematics from the University of California, Berkeley.

Throughout his career, Dr. Morrise has held key positions in several prominent organizations, including serving as the former Head of Graph Data Science & AI at Graphistry, Inc., the founder of TensorML, an advisor at various tech companies like The Consilience Project, Arternal CRM, MediaJel, 8tracks, and many others. His roles have ranged from Chief Technology Officer & Co-founder at STAY OPEN HOTELS to Lead Data Scientist at Beats Music, showcasing his versatility and leadership in the tech and data science domain.