me

Neelam Akula

PhD Candidate — University of Texas at Dallas

neelam[dot]akula[at]utdallas[dot]edu
Office: BE 3.302B  ·  Dallas, TX

I am a PhD candidate in mathematics at UTD, advised by Baris Coskunuzer. My research centers on Graph Representation Learning and Topological Machine Learning — specifically on task transferability and interpretable/explainable ML for graph foundation models. I am also actively working on trade network analysis.

Previously, I was an undergraduate at UMD (2019-2023) where I worked with Amin Gholampour on the moduli space of quiver representations. My undergraduate thesis: Quiver Representations and Auslander-Reiten Theory.

Research

Published

In Preparation & Submitted

Lecture Notes & Expository Writing

Teaching

Miscellaneous

Outside of research, I spend a lot of time on electronic music production, digital signal processing, modular synthesis, VST/plug-in development, and analog emulation. I also read a lot, mostly literary fiction and philosophy, and recently have started tracking it on Goodreads (for now — I've been meaning to migrate to StoryGraph).