The Center of Mathematical Sciences and Applications at Harvard University welcomes applications for a two-year Postdoctoral position at the intersection of mathematics and economics, with a particular preference for finance. The area of research interests is understood broadly (for example, they may include but are not limited to asset pricing and corporate finance, macro-finance and monetary economics, operations research and financial engineering , economic theory and game theory, industrial organization and market design, econometrics and machine learning). That said, there is some preference for candidates working with modern empirical methods in addition to theory.
Ravi Jagadeesan, an economic design fellow at CMSA and frequent collaborator with Center Affiliate Scott Kominers, is the recipient of the 2019 AMS-MAA-SIAM Frank and Brennie Morgan Prize for Outstanding Research in Mathematics by an Undergraduate Student. Ravi’s “fundamental contributions across several topics in pure and applied mathematics, including algebraic geometry, statistical theory, mathematical economics, number theory, and combinatorics” have qualified him for this prize. Jagadeesan is currently a PhD student in Business Economics at Harvard. He graduated from Harvard with an A.B. in Mathematics and an A.M. in Statistics in Spring 2018. In his response he thanked the Center of Mathematical Sciences and Applications for support.
In Fall 2018, the CMSA will host a Program on Mathematical Biology, which aims to describe recent mathematical advances in using geometry and statistics in a biological context, while also considering a range of physical theories that can predict biological shape at scales ranging from macromolecular assemblies to whole organ systems.
Streetchange won a Webby award for Best Use of Machine Learning on the Web! Congratulations to the team.
Streetchange is a new way of measuring changes in the physical appearances of neighborhoods using a computer vision algorithm. The researchers calculated Streetchange by algorithmically comparing Google Street View images of the same location captured in different years.
Read more about the project here.
Read the paper here.
Check out the award page here.