PIPages
Labs

Thomas Kelly

Georgia Institute of Technology, GA·Mathematics & Statistics

Graphs, networks of points joined by lines, model pairwise relationships and are basic objects in combinatorics, the mathematics of arrangements. Many classic puzzles ask about placing one structure inside another or splitting a structure into pieces.

Fields

Mathematics & Statistics

Computer Science

Topics

combinatorics

graph theory

hypergraphs

Grants
1 known grant, through Jul 2027

What they work on

  1. Use randomness and the probabilistic method to prove new results on embedding structures such as Hamilton cycles in graphs and hypergraphs, networks where an edge can join several points.
  2. Prove new hypergraph decomposition results, extending classic questions on Latin squares and combinatorial designs to high-dimensional combinatorics.
  3. Establish 'robust' versions of embedding and decomposition results using the recently introduced notion of spreadness, and investigate statistical aspects of random combinatorial designs.

More about the research

The Knight's Tour, studied in the 9th century, and the 1800s Icosian Game both ask for a Hamilton cycle, a route that visits every point exactly once. Famous questions on Latin squares and combinatorial designs are now understood as decomposition problems for hypergraphs. In a hypergraph, a single edge can join more than two points, making it a higher-dimensional version of a graph.

Why it matters

This is basic mathematics. It aims to deepen understanding of how randomness can be used to find and split large structures in graphs and hypergraphs. It extends classic combinatorial questions, such as Hamilton cycles, Latin squares and combinatorial designs, into higher dimensions. The project names no direct applications, but the results could eventually inform other areas that use these structures.

Known grants

From NIH and NSF research grants. Labs often have other funding we can't see.

Randomness in High-Dimensional Combinatorics: Colorings, Robustness, and Statistics

NSF · Aug 2023 – Jul 2027

Closest labs

Jacob Fox

Stanford University, CA·Mathematics & Statistics

Determine how the number of colors and the structure of hypergraphs, networks whose edges can join more than two points, govern the off-diagonal growth of hypergraph Ramsey numbers.

Shachar Lovett

University of California-San Diego, CA·Computer Science

Develop the theory of spreadness, a measure that no structured subset contains too many elements, into a general framework connecting existing structure-versus-randomness arguments.

Chun-Hung Liu

Texas A&M University-College Station, TX·Mathematics & Statistics·Early-career

Develop new structural theorems for minor-closed graph families, classes closed under deleting and contracting edges, and use them to attack embedding problems for the metric spaces these graphs support.

The school

Georgia Institute of Technology: 50 labs on PI Pages, $1.5B a year on research, 572 research doctorates a year.

More about Georgia Institute of Technology

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