CV

Education

PhD in Mathematics
University of California, Los Angeles, August 2021 - Present

Bachelor of Science in Mathematics
Penn State University, August 2017 - May 2021

Experience

Machine Learning Engineering Intern
Meta, June 2025 - September 2025

Quantitative Research Intern
Susquehanna International Group, June 2024 - August 2024

Visiting Researcher
Max Planck Institute for Mathematics in the Sciences, June 2023 - August 2023

Undergraduate Researcher
University of Minnesota, Algebra/Combinatorics REU, June 2020 - August 2020

Undergraduate Researcher
Moravian University, Computational/Experimental Math REU, June 2019 - August 2019

Publications

Asterisk (*) indicates equal contribution.

• Zero-Shot Context Generalization in Reinforcement Learning from Few Training Contexts
  James Chapman*, Kedar Karhadkar*, and Guido Montúfar. Preprint: arxiv:2507.07348.

• Bounds for the smallest eigenvalue of the NTK for arbitrary spherical data of arbitrary dimension
  Kedar Karhadkar, Michael Murray, and Guido Montúfar. NeurIPS 2024. Preprint: arXiv:2405.14630.

• Benign overfitting in leaky ReLU networks with moderate input dimension
  Kedar Karhadkar*, Erin George*, Michael Murray, Guido Montúfar, and Deanna Needell. NeurIPS 2024. Preprint: arXiv:2403.06903.

• Mildly Overparameterized ReLU Networks Have a Favorable Loss Landscape
  Kedar Karhadkar, Michael Murray, Hanna Tseran, and Guido Montúfar. Transactions on Machine Learning Research. Preprint: arXiv:2305.19510.

• FoSR: First-order spectral rewiring for addressing oversquashing in GNNs
  Kedar Karhadkar, Pradeep Kr. Banerjee, and Guido Montúfar. ICLR 2023. Preprint: arXiv:2210.11790.

• Sum index and difference index of simple graphs
  Joshua Harrington*, Eugene Henninger-Voss*, Kedar Karhadkar*, Emily Robinson*, and Tony W.H. Wong*. Discrete Applied Mathematics (2023). Preprint: arxiv:2008.09265.

• Oversquashing in GNNs through the lens of information contraction and graph expansion
  Pradeep Kr. Banerjee, Kedar Karhadkar, Yu Guang Wang, Uri Alon, and Guido Montúfar. 58th Annual Allerton Conference on Communication, Control and Computing (2022). Preprint: arXiv:2208.03471.

• Two dependent probabilistic chip-collecting games
  Joshua Harrington*, Kedar Karhadkar*, Madeline Kohutka*, Tessa Stevens*, and Tony W.H. Wong*. Discrete Applied Mathematics (2021).

• Parity of the partition function \(p(n, k)\)
  Kedar Karhadkar. International Journal of Number Theory (2019). Preprint: arXiv:1809.07459.

• Lattice models, differential forms, and the Yang-Baxter equation
  Kedar Karhadkar. Preprint: arXiv:2207.13282