Explore the mathematical foundations and computational methods behind single particle cryo-electron microscopy (cryo-EM), a revolutionary technique for determining 3-D molecular structures at high resolution. Learn about the mathematical principles that underpin cryo-EM reconstruction, with particular emphasis on the computational challenges involved in reconstructing small molecules and flexible molecular structures. Discover how this Nobel Prize-winning technique (Chemistry, 2017) has been successfully applied to critical research, including imaging the SARS-CoV-2 spike protein during the early stages of the global pandemic. Gain insights into the theoretical and computational aspects of data science as applied to structural biology, presented by Princeton University's Amit Singer, a leading expert in applied mathematics and computational methods for biological structure determination.