معرفی
Denis Nekipelov is an Associate Professor of Economics and Computer Science (by Courtesy) at the University of Virginia. He holds a Ph.D. in Economics from Duke University (2008), an M.A. in Economics (Cum Laude) from the New Economic School (2003), and M.Sc. and B.Sc. in Applied Physics and Mathematics from the Moscow Institute of Physics and Technology (2003). His research focuses on computational methods in industrial organization, structural economics for big data, and econometric analysis of strategic interactions.
His work bridges economics and computer science, addressing topics like data privacy, machine learning in recommendation systems, and auction mechanisms. Notable contributions include the ACM EC Best Paper Award (2015) and a U.S. patent for analyzing sponsored search auctions (2011). He has also received the H. Gregg Lewis fellowship (2003–2008) and the Review of Economic Studies European Tour (2008).
- Education:
- Ph.D. in Economics, Duke University, 2008
- M.A. in Economics, New Economic School, 2003
- M.Sc./B.Sc. in Applied Physics and Mathematics, Moscow Institute of Physics and Technology, 2003
His research explores the intersection of econometrics, computational methods, and policy-relevant issues like data privacy in public statistics. He has published extensively on topics such as bias-variance tradeoffs in algorithms, optimal recommendation systems, and structural models of strategic interactions.
- Awards/Grants:
- NSF grants (AF: Medium, ICES: Large) for collaborative research on mechanism design and learning algorithms
- Review of Economic Studies European Tour (2008)
- H. Gregg Lewis Fellowship (2003–2008)
His work on auction mechanisms and privacy guarantees has been applied to online marketplaces and federal statistical systems, emphasizing practical solutions to real-world economic challenges.
