Data Science Instructional Designer at Codecademy
Ada has a background in mathematics, with a Ph.D. focused on the design of self-assembling DNA nanostructures. DNA has incredible potential as a material in biomedicine and biomolecular computing, but the unique geometry of DNA makes designing nanostructures computationally difficult. In her Ph.D., she developed new mathematical tools to understand when a given nanostructure can or can’t be built using DNA.
Prior to Codecademy, Ada worked as an Actuarial Systems Analyst, taught mathematics and statistics at Champlain College, and conducted research supported by NASA/Vermont Space Grant Consortium.
Ada has worked on courses across our Data Science catalog, covering topics including Python, Excel, and Data Engineering.