Javal Vyas
PhD Candidate at Imperial College London working on decision systems at the intersection of machine learning and optimization. I focus on structured reasoning, constraint-aware modeling, and rigorous evaluation for sequential and high-stakes settings.
Multi-agent planning Convergence & reliability Large-scale optimization Surrogate modeling
Education
- PhD, Imperial College London — 2024–Present
- MS in AI Engineering (Chemical Engineering), Carnegie Mellon University — 2022–2023
- B.Tech in Chemical Engineering, VNIT Nagpur — 2018–2022
Experience
Engineer II · KeyLogic Systems LLC
- Contributed to open-source optimization platforms including IDAES and PARETO.
- Improved large-scale supply chain optimization workflows via stronger data integration and model refactoring.
- Developed and embedded ML surrogate models within optimization pipelines to accelerate computation.
PhD Researcher · Imperial College London · 2024–Present
- Designed multi-agent reasoning frameworks for structured planning and traversal under explicit constraints.
- Analyzed convergence behavior and failure modes in iterative reasoning systems.
- Built evaluation pipelines to measure structural validity and robustness across task families.