Albert DeFusco

Albert DeFusco is a proficient data scientist with a Ph.D. in theoretical chemistry and a background in scientific and high-performance computing.

Currently employed at Anaconda, Inc., Albert focuses on enhancing tools for data scientists, indulging in development, analytics, and predictive modeling, and contributing to MLOps.

With a solid educational foundation, Albert completed his Ph.D. in theoretical chemistry at the University of Pittsburgh, delving into quantum mechanical interactions among water molecules.

Following his academic pursuits, Albert assumed roles such as Research Professor at the Center for Simulation and Modeling at the University of Pittsburgh, overseeing high-performance computing clusters' administration.

Albert also has experience teaching Data Science topics like machine learning and big data processing, utilizing Anaconda products and open-source packages across various industries.

His diverse roles include being a Data Science Instructor and a Manager of Training at Anaconda, Inc., demonstrating his expertise in both practical applications and educational facilitation.