Curriculum Vitae for Alianna J. Maren, Ph.D.
As a leading scientist and inventor, Alianna J. Maren, Ph.D., shows scientists, technologists, and strategic leaders struggling with predictive intelligence for large data corpora to not only select and use existing methods for maximal benefit, but also to incorporate advanced new methods designed specifically for rapidly-changing situations.
Dr. Maren is Founder and Principal of Themasis Associates, which focuses on advanced technology development and education for predictive intelligence methods. She is previously the Founder and Principal of Mourning Dove Press, and was Initiating Co-Founder of EagleForce Associates (later Viziant Corporation), which specialized in knowledge discovery technologies. She is the author of two published books, with a third (Predictive Intelligence for a Nonlinear World) under development and scheduled for publication in 2015. She is the senior author on four ground-breaking patents in the realms of computer science and artificial intelligence, including one which was awarded New York Times Patent of the Week.
Topical Areas for Alianna J. Maren
- Contracts and Grants, Investments, and Fund-Raising
- Inventions and Innovations
- Teaching Experience and Areas of Competency
- Work History
- Board Memberships
- Current Work
As a Renaissance woman, Dr. Maren’s unique gifts encompass significant scientific and technical inventions, breakthrough facilitations for both corporations and individuals, and gifted and compassionate teaching in enclaves ranging from universities to one-on-one mentoring. Dr. Maren has innovated and taught advanced courses in several universities, most recently including Georgetown University (knowledge discovery), Marymount University (cloud computing), and George Mason University (Capstone Semesters for Applied IT, along with cloud computing). She now focuses on mentoring leading technologists in both government and corporate centers to harness new methods for predictive intelligence, enabling them to identify emerging trends from very small initial indicators, identify new correlations, and discern significant relations hidden within big data corpora.
Drawing on her Ph.D. work in physical chemistry, together with ground-breaking work in brain-based computational architectures, she is fusing statistical mechanics for non-equilibrium systems with neural networks to create new predictive models.
Dr. Maren’s private passions include the arts, and she has served on the Board of Directors for both cultural and scientific organizations.