Duke University, July 2020

Selected slides sets- Extracting Persistence Clusters in Dynamic Data via Möbius inversion
**(Mar, 2022)** - Interleaving by Parts for Persistence In a Poset
**(Apr, 2021)** - The Persistent Topology of Dynamic Data
**(Mar, 2021)** - Elder-Rule Staircodes for Augmented Metric Spaces
**(June, 2020)** - Generalized Persistence Diagrams for Persistence Modules Over Posets
**(Jan, 2020)**

- TBD, Special Session on Topological Data Analysis and its Applications in Biological Systems, The AMS Southeastern Sectional Meeting
**(Nov 20-21, 2021)**

- TBD, Metrics in Multiparameter Persistence, Lorentz Center
**(Jul 19-23, 2021)**

- The Persistent Topology of Dynamic Data, MSRI-Berkeley
**(May 2021)** - Interleaving by parts for persistence in a poset, IMSI-Chicago
**(Apr 2021)** - The Persistent Topology of Dynamic Data, Topological Data Analysis seminar, Purdue Univ.
**(Mar 2021)** - The Persistent Topology of Dynamic Data, DynamIC seminar, Imperial College London
**(Mar 2021)** - Spatiotemporal persistent homology for dynamic metric spaces,
**Second Symposium on Machine Learning and Dynamical Systems, Fields Institute, Toronto**.**(Sep 2020).**[Field Institute, Pre-record video] - The persistent topology of dynamic data,
**The Grad-Faculty Seminar,****Duke Univ**.**(Sep 2020).** - Elder-rule-staircodes for augmented metric spaces,
**The 36th International Symposium on Computational Geometry (SoCG) (June 2020).** - Spatiotemporal persistent homology for dynamic metric spaces
**ATMCS-AATRN (June 2020). [Youtube]** - Generalized Persistence Diagrams for Persistence Modules over Posets,
**The University of Florida Topological Data Analysis Workshop (Jan 2020).****Slides** - Spatiotemporal persistent homology for dynamic metric spaces,
**the Joint Mathematics Meetings 2020 in Denver, Colorado (Jan 2020).** - Generalized Persistence Diagrams for Persistence Modules over Posets,
**Topology Seminar, Colorado State (Oct 2019).** - Generalized Persistence Diagrams for Persistence Modules over Posets,
**Union College Math Conference (Sep 2019).** - Spatiotemporal Persistent Homology for Dynamic Metric Spaces, ATIA seminar,
**University at Albany, SUNY (Sep 2019).****Slides** - Generalized Persistence Diagrams for Persistence Modules over Posets,
**TGDA seminar at OSU (Sep 2019).** - Topological Data Analysis of Time-evolving Metric data,
**Air Force****Research Lab in Dayton, Ohio****(July 2019).** - Spatiotemporal Persistent Homology of Time-evolving Metric Data
**Brown-bag seminar at CMSE, Michigan State (April 2019).** - Topological data analysis of time-varying metric data,
**GL-SIAM 2019 at U of Michigan (April 2019).**Rank of a Diagram and its Application in Topological Data Analysis,**MGSA at OSU****(April 2019).** - Rank Invariant and Generalized Persistence Diagrams for Zigzag persistence
**TDA group meeting at U or Florida (March 2019).** - Persistent homology for time-evolving metric/network data
**Topology seminar at Florida State (March 2019).** - Multiparameter Persistent Homology for Time-Varying Metric Data,
**Topology, Geometry, and Applications – Graduate Students Seminar (TAGGS) at OSU (February 2019).** - Rank for arbitrary diagrams,
**Topology, Geometry, and Applications – Graduate Students Seminar (TAGGS) at OSU (November 2018).** - Formigrams: Clustering Summaries of Dynamic Data,
**CCCG: The Canadian Conference on Computational Geometry****2018 (August 2018).** - Stable Signatures for Dynamic Metric Spaces via Zigzag Persistent Homology:
**Joint Mathematics Sectional Meetings (March 2018).** - Topological and geometric ideas in Data Analysis
**(July 2016)**, Dept of Math Education, Seoul National University. **More than 30 talks**about various topics in topological data analysis, networks, optimal transport, probability, and differential/metric geometry**in Facundo’s group meeting or course work.**Links: Group meetings, Applied Metric Geometry and Topology, Applied Algebraic Topology Reading Group, Riemannian Geometry, Topics on Optimal Transport in Machine Learning and Shape Analysis, Topics in Network Data Analysis, Topics on Random Metric Spaces.