Nicholas Landry
I’m the TGIR Postdoctoral Research Fellow at the University of Vermont. My research expertise is broadly the study of dynamics on complex systems, especially the spread of contagion on interaction networks involving group (higher-order) interactions. My research always starts with noticing things around me and asking, “why?” I’ve worked in both academia and industry which gives me a unique perspective on applied mathematics.
My portfolio is a collection of some projects that I’ve worked on personally, professionally, and academically. For more about me, see my bio, CV, or list of publications. You can also take a look at my blog.
I am currently on the job market looking for positions that start in summer or fall of 2024!
Research Interests
- The structure and dynamics of complex systems (particularly those involving higher-order interactions)
- Contagion spread (disease, opinions, etc.)
- Inference of network structure
- Open software
Recent News
- March 2023: I am delighted be teaching a GNSP topic course on networks with higher-order interactions at the APS March Meeting, along with Ginestra Bianconi and Baruch Barzel.
- December 2023: I will be attending the Complex Networks Winter Workshop (CNWW, pronounced “canoe”) in Quebec City, QC!
- November 2023: XGI-DATA is relaunched on Zenodo with twice as many datasets and now has a corresponding table of network statistics!
- October 2023: I co-hosted Yu Tian at UVM and had the opportunity to chat science!
- September 2023: My work with Juan G. Restrepo titled “Opinion disparity in hypergraphs with community structure” is now out in Physical Review E!
- September 2023: I gave a talk on “Limitations and opportunities from simple higher-order structural and contagion models” at the Vermont-KIAS Workshop in Burlington, VT.
- August 2023: New preprint titled “The simpliciality of higher-order networks” with Nicole Eikmeier and Jean-Gabriel Young is now posted!
- August 2023: I organized the Contagion on Complex Social Systems (CCSS) workshop in Burlington, VT. See the group photo.
- July 2023: I presented “XGI: A Python package for higher-order interaction networks” and Nicole Eikmeier presented “The simpliciality of empirical datasets” at NetSci 2023 in Vienna!
- June 2023: XGI now supports directed hypergraphs!
- June 2023: I attended the Mathematics Research Communities Workshop on Complex Social Systems. A photo of me presenting our project to the rest of the workshop.
- May 2023: “XGI: A Python package for higher-order interaction networks” is now published in the Journal of Open Source Software!
- May 2023: I was an invited speaker at the Workshop on Modelling and Mining Complex Networks as Hypergraphs.
- May 2023: A new preprint with Ilya Amburg, Mirah Shi, and Sinan G. Aksoy entitled “Filtering higher-order datasets” is now on arXiv!
- March 2023: I participated in the Postdocs in Complexity Conference X.
- February 2023: Joint work with Juan G. Restrepo, Polarization in hypergraphs with community structure is on ArXiv! A quick summary is here.
- January 2023: Joint work with jimi adams on the limitations of using uniplex data representations for modeling multiplex contagion is published in PLoS ONE!
- January 2023: I gave a talk at the Network Science Institute at Northeastern.
- December 2022: XGI is now a NumFOCUS Affiliated Project!
- November 2022: I am now on Mastodon! My username/instance is nwlandry@mathstodon.xyz.
- October 2022: I gave a demo of XGI and presented in-progress work on the polarizability of hypergraphs with community structure at CCS 2022 in Palma, Spain.
- October 2022: I gave an invited talk on the polarizability of hypergraphs with community structure at the AMS Eastern Sectional Meeting in Amherst, MA.
