Daniel Ferrante

expertise

  • Leadership

other

  • AI Leadership
  • AI Platform Development
  • Cloud/HPC
  • DevOps/DataOps/AIOps

Daniel Ferrante, PhD

Co-Founder & Chief Data Officer

Daniel Ferrante

about Daniel

Daniel Ferrante, Ph.D., is the Co-Founder and Chief Science & Data Officer of SFL Scientific, designing and implementing data science and Data/AIOps strategies to help clients accelerate the adoption of digital and AI emerging technologies. Working with SFL Scientific’s enterprise clients across healthcare, defense, manufacturing, financial services, and other industries, he is responsible for developing applied and computational methods, analytical modeling of complex systems, and implementing state of the art R&D solutions to solve complex business challenges. His professional career has included developing novel deep learning frameworks at national laboratories, the implementation and oversight for high-performance computing infrastructure, and other distributed computing systems, from commission to security and system administration. Dr. Ferrante has worked with 15% of the S&P100 in development and technical efforts integrating AI and information technology from NVIDIA, Amazon Web Services, Microsoft Azure, NetApp, and other global IT and services organizations. Dr. Ferrante works with organizations to determine what kinds of information the enterprise will choose to capture, retain, and exploit to produce the best business, revenue, and operational value and outcomes.

Prior to SFL, Dr. Ferrante was a Sloan-Swartz Fellow, and later a Data Science Manager, at Cold Spring Harbor Laboratory, modeling and analyzing big data in neuroscience, including quantitative big image analysis (60000×55000 pixels @ 0.5µ/pixel resolution) to study brain-wide connectivity in large >5PB datasets, including the application of Topological Data Analysis to identify autism in the SFARI dataset, including modeling the statistical evolution of brain regions, and so on.

Before transitioning to data science, Dr. Ferrante was a theoretical physicist working on resurgence, alien calculus, Higgs bundles, quantum geometry of moduli spaces, and their connection to the Geometric Langlands Duality: broadly speaking, working on non-perturbative effects in quantum field theory. I also worked on novel numerical and computational methods, such as complex/imaginary Monte Carlo, chaotic dynamical systems, multi-fractal systems, stochastic differential equations, Askey-Wiener chaos, and so on. I was also responsible for the high-performance computing infrastructure, from commission and hardware installation to security and system administration.

Dr. Ferrante received his Ph.D. in Theoretical Physics from Brown University, working under Gerald Guralnik (Sakurai prize in Theoretical Physics; one of the discoverers of the Higgs boson, a discovery that was awarded the Nobel Prize in 2012). He also worked closely with Michael Kosterlitz on topological phases (awarded the Nobel Prize in 2016), and with David Mumford (Fields Medal, MacArthur Fellow, National Medal of Science) on moduli spaces and geometric invariants, and with James Anderson (of Simpli fame, now owned by ValueClick) on early generalizations of neural networks (DL and RL), network automata, and out-of-equilibrium spin glasses.