Herbert Wertheim College of Engineering
Sitharam Lab
Led by Meera Sitharam · Computer and Information Science and Engineering
What we study
The Sitharam Lab studies computational geometry, algorithms, and machine learning, focusing on discrete modeling and open-source mathematical software. Their work applies these methods to natural and social sciences, physics, engineering, and game theory.
What working here is like
- Computational
- Reading, writing & theory
- No organisms (data only)
- Coding required
- Papers
- 5
Recent papers, explained
- Angular constraints on planar frameworks
2026 · Discrete Applied Mathematics
- A New Discrete-Geometry Approach for Integrative Docking of Proteins Using Chemical Cross-Links
2025 · Journal of Chemical Information and Modeling
Develops a new method for protein docking using chemical cross-links, adapting a discrete geometry approach for efficiency.
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- Mixed Cayley and Cartesian sampling for fast and accurate coverage and configurational entropy computation
2025 · Computer Physics Communications
- Maximum likelihood thresholds via graph rigidity
2024 · The Annals of Applied Probability
Shows how graph rigidity helps predict the minimum samples needed to estimate relationships in data.
- Computing maximum likelihood thresholds using graph rigidity
2023 · Algebraic Statistics
Uses graph rigidity to precisely calculate the minimum samples needed for accurate data analysis.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Meera Sitharam hasn't set up this page yet. Their UF Scholars profile lists their publications.