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
DSI Instructor, Sr. Data Scientist - San Francisco
Hamid received his Ph.D. in computational Physics from University of Waterloo and was the first to predict Quantum Spin Ice using modeling techniques. During his Postdoctoral fellowship he worked with teams from Princess Margaret Hospital and Harvard Medical School to apply modeling techniques to problems in cancer which resulted in several papers. Back 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 in the time that these techniques were not still popular. During its time the search engine was one of the first runner with news coverage and citation in patents from companies such as Microsoft. Hamid also worked on applying machine learning techniques in IOT space where he used these techniques to decipher patterns in smartphone sensors to improve the ad targeting. Hamid also worked on building a smart tracking device for Alzheimer people and pets.
DSI Instructor, Sr. Data Scientist - Los Angeles
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
DSI Instructor, Sr. Data Scientist - Austin
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.
Lead Instructor, Principal Data Scientist - Seattle
Jack has been teaching Data Science at Galvanize since 2016. Prior to that he worked at Microsoft for a decade in performance, forensics, analysis tools, and infrastructure and at a couple startups in bioinformatics and fantasy sports in New York City. He received his BS from Yale and PhD in theoretical physics from Rutgers where he built computer models of dislocations in silicon.