Shreedhar Jangam
About Me
Hi 👋🏼 I completed my B.S. in Computer Science with a Minor in Statistics at UC Santa Cruz, Baskin Engineering. I am very fortunate to be advised by Prof. Leilani Gilpin at the AEIA Lab, where my work focused on LLM trustworthiness and failure modes, and by Prof. Xin (Eric) Wang at the ERIC Lab, where I studied reasoning LLMs and VLA safety evaluation. I am currently at the National Renewable Energy Laboratory working on physics-informed ML, sparse system identification, and discrepancy modeling for nonlinear dynamical systems. Outside of research, I enjoy backpacking and practicing my wilderness EMT skills.
I’m currently applying to EECS and Robotics MS/PhD programs for Fall 2026.
Research Interests
I’m excited by how embodied systems can reason about the world, learn interpretable dynamics, and act safely under uncertainty. Broadly, my interests are in interpretable autonomy, grounded world models, and VLA-based reasoning monitors that help robots maintain reliable internal beliefs and execute robust manipulation behaviors.
Publications
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IJCNLP-AACL 2025
arXiv preprint 2502.12659, 2025 -
arXiv
arXiv preprint 2310.11207, 2023
News
2026
- JanuaryI submitted a paper introducing SafePro, a benchmark for evaluating the safety failures in long-horizon AI agents [Link]
2025
- DecemberI completed my internship at NREL (now NLR) and presented my work on PIML: system identification and data-driven control.
- JuneI began my internship at National Renewable Energy Laboratory in Golden, Colorado.
- FebruaryI submitted a paper on reasoning model (R1 and o3mini) safety. [Link]
- JanuaryI was awarded an honorable mention for the CRA Outstanding Undergraduate Researcher Award. [Link]
2024
2023
- OctoberI submitted my first paper on transfer learning!
Interests and Activities
Community Engagement
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UCSC Emergency Medical Services Club [Link] -
Certified NOLS Wilderness First Responder (WFR) [Link] -
Eagle Scout: Troop 92 [Link]
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