Sotabase

Career

· Research Scientist, NVIDIA2022–
· Teaching Assistant, Stanford University2019–2019
· Doctor of Philosophy - PhD, Aerospace, Aeronautical and Astronautical Engineering, Stanford University2018–2022
· Graduate Research Assistant, Stanford University2018–2022
· Master of Science - MS, Aerospace, Aeronautical and Astronautical Engineering, Stanford University2016–2018
· Masters Student, Stanford University2016–2018
· Software Engineering Intern, VelociData2014–2014
· Computer Science Tutor Grader, Harvey Mudd College2013–2015
· Bachelor of Science (BS), Computer Science, Harvey Mudd College2012–2016
· Student, Harvey Mudd College2012–2016
· Digital Intern, Switch2012–2012

Publications (50)

Meta-Learning Priors for Efficient Online Bayesian Regression
Workshop on the Algorithmic Foundations of Robotics · 2018
112
cited
Network offloading policies for cloud robotics: a learning-based approach
Autonomous Robots · 2019
111
cited
Continuous Meta-Learning without Tasks
Neural Information Processing Systems · 2019
80
cited
BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning
IEEE International Conference on Robotics and Automation · 2018
61
cited
Safe Active Dynamics Learning and Control: A Sequential Exploration–Exploitation Framework
IEEE Transactions on robotics · 2020
53
cited
Sketching Curvature for Efficient Out-of-Distribution Detection for Deep Neural Networks
Conference on Uncertainty in Artificial Intelligence · 2021
52
cited
A System-Level View on Out-of-Distribution Data in Robotics
arXiv.org · 2022
39
cited
STORM: Spatio-Temporal Reconstruction Model for Large-Scale Outdoor Scenes
arXiv.org · 2024
25
cited
Particle MPC for Uncertain and Learning-Based Control
IEEE/RJS International Conference on Intelligent RObots and Systems · 2021
17
cited
Robust and Adaptive Planning under Model Uncertainty
International Conference on Automated Planning and Scheduling · 2019
16
cited
PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction
Neural Information Processing Systems · 2023
12
cited
Safe Model-Based Meta-Reinforcement Learning: A Sequential Exploration-Exploitation Framework
arXiv.org · 2020
10
cited
Multi-Predictor Fusion: Combining Learning-based and Rule-based Trajectory Predictors
Conference on Robot Learning · 2023
7
cited
RuleFuser: Injecting Rules in Evidential Networks for Robust Out-of-Distribution Trajectory Prediction
arXiv.org · 2024
7
cited
System-Level Safety Monitoring and Recovery for Perception Failures in Autonomous Vehicles
IEEE International Conference on Robotics and Automation · 2024
7
cited
On the Problem of Reformulating Systems with Uncertain Dynamics as a Stochastic Differential Equation
arXiv.org · 2021
6
cited
Uncertainty-Aware Meta-Learning for Multimodal Task Distributions
arXiv.org · 2022
6
cited
Evaluation of Phytochemicals, Antioxidant and Antibacterial Activity of Hyophila involuta (Hook.) Jaeg. and Entodon plicatus C.Muell. (Bryophyta) from Rajasthan, India
2016
5
cited
Data Lifecycle Management in Evolving Input Distributions for Learning-Based Aerospace Applications
IEEE Aerospace Conference · 2022
3
cited
Safe Learning and Control using Meta-Learning
2010
3
cited
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