–> <!– - On the Classification of Networks Using Graph Scattering [extended abstract]
- On the Inversion-Free Newton Algorithm for Softmax Regression [thesis]
- Existence of Induced H-Saturated Graphs
- Network Reliability Using Graph Coloring [preprint]
- Counting Triangles Using Combinatorics
- Metaprogramming for Contract Algorithms [preprint] –>
<!– back
Selected Papers
* indicates equal contribution
Terrarium: Revisiting the Blackboard for Multi-Agent Safety, Privacy, and Security Studies
arXiv 2025 (Under Review)
Inference-Aware Prompt Optimization for Aligning Black-Box Large Language Models
arXiv 2025 (Under Review)
BLAST: Bayesian Learning for Adaptive Selection of Transitions for Continual Reinforcement Learning
AAAI 2025 GenPlan Workshop
News
2025
June
- I was awarded an NSF Graduate Research Fellowship.
2024
December
- Our paper on accelerating reward modeling using LLM guidance and abstract concepts has been accepted to AAAI-2025!
- Our paper on employing critical states in experience selection strategies for continual reinforcemnt learning has been accepted to AAAI-2025 Workshop on generalization in planning (GenPlan)!
2023
June
- Our paper on formalizing an intelligent system as a composition of contract algorithms has been accepted to IROS-2023!
May
- I graduated summa cum laude from Marist College, majoring in applied mathematics and data science with a minor in computer science.
March
- I accepted a computer science MS/PhD offer at UMass Amherst in the Resource-Bounded Reasoning Lab directed by Shlomo Zilberstein.
2022
May-November
- Visiting scholar at the Center for Human-Compatible AI (CHAI) at UC Berkeley on building well-founded AI using metareasoning.
March
- Our paper on using combinatorics to solve a combinatorial geometry problem has been accepted to MAA Mathematics Magazine!
2021
May-August
- Visiting scholar at Moravian University as part of an NSF REU on computational methods in discrete mathematics working on spectral and extremal graph theory.
2020
May-August
- Visiting scholar at Michigan State University as part of an NSF REU on experimental mathematics working on geometric deep learning.