Facundo Memoli

Facundo Memoli is a Professor in the Department of Mathematics at Rutgers University. He holds a PhD from the University of Minnesota (2005) and degrees in Electrical Engineering and MMS from Universidad de la República, Uruguay. His research focuses on metric geometry, topology, probability, and their applications to science and engineering. He leads the Network Data Analysis group and is a member of the OSU TGDA group. Memoli has been supported by NSF grants, including NSF-AF-2310412, NSF-IIS-1901360, and NSF-DMS-2301359. His work bridges theoretical foundations with practical applications in topological data analysis, shape comparison, and network analysis.

Education:

• PhD in Mathematics, University of Minnesota, 2005
• MMS in Electrical Engineering, Universidad de la República, Uruguay, 2001
• Bachelor of Engineering in Electrical Engineering, Universidad de la República, Uruguay, 2000

Research Interests:

• Topological Data Analysis (TDA)
• Gromov-Hausdorff and Gromov-Wasserstein distances
• Shape comparison and matching
• Network analysis and clustering
• Metric geometry and its applications

His research emphasizes developing robust mathematical frameworks for analyzing complex data structures, including networks and geometric datasets.

Grants and Awards:

• NSF-AF-2310412
• NSF-IIS-1901360
• NSF-DMS-2301359
• NSF Phase I TRIPODS grant

Advising and Students:

• Current Students: Musashi Koyama, Brantley Vose
• Alumni: Aziz Guelen, Nate Clause, Ling Zhou, Mario Gomez, Zhengchao Wan, Tom Needham, Samir Chowdhury, Woojin Kim, and others

Labs and Groups:

• Network Data Analysis Group (NDA)
• Ohio State University TGDA Group
• Applied Metric Geometry Group

These groups focus on interdisciplinary research at the intersection of topology, geometry, and data science.