Sotabase

Career

· Postdoctoral Scholar, Aeronautics and Astronautics, Stanford University2022–
· Doctor of Philosophy (Ph.D.) in Machine Learning and Mathematical Optimization, Technical University of Denmark2019–2022
· Research in Amazon Transportation Services (ATS), Amazon EU2018–2018
· M.Sc. in Management Science and Engineering (Honors), Sapienza University of Rome2016–2018
· B.Sc. in Management Science and Engineering, Sapienza University of Rome2013–2016

Publications (36)

Estimating Latent Demand of Shared Mobility through Censored Gaussian Processes
Transportation Research Part C: Emerging Technologies · 2020
56
cited
Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems
IEEE Conference on Decision and Control · 2021
55
cited
Predictive and Prescriptive Performance of Bike-Sharing Demand Forecasts for Inventory Management
Transportation Research Part C: Emerging Technologies · 2021
47
cited
Considering patient clinical history impacts performance of machine learning models in predicting course of multiple sclerosis
PLoS ONE · 2020
45
cited
Transformer-Based Model Predictive Control: Trajectory Optimization via Sequence Modeling
IEEE Robotics and Automation Letters · 2024
30
cited
Graph Meta-Reinforcement Learning for Transferable Autonomous Mobility-on-Demand
Knowledge Discovery and Data Mining · 2022
28
cited
Transformers for Trajectory Optimization with Application to Spacecraft Rendezvous
IEEE Aerospace Conference · 2023
22
cited
Generalized Multi-Output Gaussian Process Censored Regression
Pattern Recognition · 2020
17
cited
Graph Reinforcement Learning for Network Control via Bi-Level Optimization
International Conference on Machine Learning · 2023
13
cited
Recurrent flow networks: A recurrent latent variable model for density estimation of urban mobility
Pattern Recognition · 2022
10
cited
Towards Robust Spacecraft Trajectory Optimization via Transformers
IEEE Aerospace Conference · 2024
9
cited
Learning to Control Autonomous Fleets from Observation via Offline Reinforcement Learning
European Control Conference · 2023
7
cited
Robo-taxi Fleet Coordination at Scale via Reinforcement Learning
arXiv.org · 2025
7
cited
Generalizable Spacecraft Trajectory Generation via Multimodal Learning with Transformers
American Control Conference · 2024
5
cited
Offline Hierarchical Reinforcement Learning via Inverse Optimization
International Conference on Learning Representations · 2024
5
cited
Vision Foundation Model Embedding-Based Semantic Anomaly Detection
arXiv.org · 2025
4
cited
Real-Time Control of Electric Autonomous Mobility-on-Demand Systems via Graph Reinforcement Learning
European Control Conference · 2023
3
cited
Space-LLaVA: A Vision-Language Model Adapted to Extraterrestrial Applications
IEEE Aerospace Conference · 2024
3
cited
Learning Joint Rebalancing and Dynamic Pricing Policies for Autonomous Mobility-on-Demand
IEEE transactions on intelligent transportation systems (Print) · 2025
2
cited
Recurrent Flow Networks: A Recurrent Latent Variable Model for Spatio-Temporal Density Modelling
arXiv.org · 2020
2
cited
Sotabase
Daniele Gammelli | Researcher Profile | Sotabase | Sotabase