Our Data Science Instructors
Our team of experienced, full-time instructional faculty utilize real-world case studies to teach best practices in statistical analysis, machine learning, natural language processing and data visualization that will prepare you for a successful career in Data Science.
Dr. Hamid Molavian
Hamid received his Ph.D. in computational Physics from University of Waterloo and was the first to predict Quantum Spin Ice using modeling techniques. In 2010, Hamid co-founded and built one of the first robust search engines for apps with the capability to search content inside apps by applying Machine Learning and optimization techniques. Hamid also worked on applying machine learning techniques in IOT space and worked on building a smart tracking device for Alzheimer people and pets.
As a trained mathematician, practical data scientist, and technical author, Flora is passionate about problem solving and applications of machine learning techniques. She has over a decade of experience in statistical programming, data analytics, multi-dimensional visualization, and modeling and simulation in multidisciplinary environments such as genetics, epidemiology, and aerospace sciences at top research institutions. She has a strong publication track record; her current interests include deep learning and causal inference.
Dr. Joseph Anthony Gartner III
Dr. Gartner received his Ph.D. in physics for his work at the Large Hadron Collider at CERN. After completing his Ph.D., he has worked as both a software engineer and a data scientist, including working in fulfillment of contracts for the Defense Advanced Research Agency. Dr. Gartner actively participates in research surrounding educational equality, and specializes in natural language processing.
Jack is a Data Scientist who studied at Rutgers University and has 15 years of industry experience (and six in management) in development, test, operations, program management, and instruction. Jack was responsible for delivering products over multiple development cycles at Microsoft.
Sean is a Data Scientist with a Masters degree in Economics and an Undergraduate degree in Physics. Sean is a AWS Certified Solutions Architect and has over ten years of professional experience. To learn more about Sean, check out his CourseReport video comparing Python versus R for Data Science.