The Effect of State Representation on LLM Agent Behavior in Dynamic Routing Games
Information Economics and LLMs Workshop at EC 2025
Lyle Goodyear, Rachel Guo, Ramesh Johari
[Paper]
ML-OpenAPS Hybrid Modeling: Optimizing Physiological Parameters in Mechanistic Models for Forecasting Glucose in Individuals with Type 1 Diabetes Under an Unknown Insulin-Delivery Controller.
ICME Research Symposium (2025)
Rachel Guo, Matthew Levine, Dana Lewis, Dessi Zaharieva, Rayhan Lal, Emily Fox, Ramesh Johari
[Poster]
LLM-Generated Dot Phrases Simplify Messages to Pediatric Type 1 Diabetes Patients
International Conference on Advanced Technologies & Treatments for Diabetes (ATTD 2025)
Jamie Kurtzig, Anika Agrawal, Mehmet Tascioglu, Lyle Goodyear, Rachel Guo, Ramesh Johari, David Scheinker
[Abstract]
Ranger Patrols Deter Poachers: Causal Inference with Bayesian Modeling and Field Tests as an Instrument
ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (2022)
IJCAI Workshop on Complex Data Challenges in Earth Observation (2022)
Rachel Guo, Lily Xu, Andrew Perrault
Enhancing Poaching Predictions for Under-Resourced Wildlife Conservation Parks Using Remote Sensing Imagery
NeurIPS Workshop on Machine Learning for Development (2020)
Rachel Guo, Lily Xu, Andrew Plumptre, Drew Cronin, Francis Okeke, Milind Tambe
[Paper]
Best Lightning Paper
Ranger patrols deter poaching: first causal insights for improving protected area management
In submission
Rachel Guo*, Lily Xu*, Andrew Perrault, Luke W. Miratrix, Andrew J. Plumptre, Joshua Mabonga, Herbert Kitimbo, Fredrick Wanyama, Milind Tambe, Andrew B. Davies
Final project from Time Series Analysis class, Fall 2025.
Rachel Guo
[Report]