Apoorva Sharma  

 



  ![](/sites/default/files/person/profile_pic.jpg)

  

 Apoorva Sharma is a Research Scientist in the Autonomous Vehicles Group at NVIDIA Research. His research interests focus on quantifying uncertainty in machine learning, with application towards building safe ML-enabled autonomous systems.

Apoorva received his PhD and MS in Aeronautics and Astronautics from Stanford University. His PhD thesis, "Methods for Quantifying, Representing, and Utilizing Uncertainty in Learning-Enabled Autonomy" proposed novel approaches to equip ML models with estimates of epistemic uncertainty, as well as algorithms for planning with uncertain models. Prior to attending Stanford, Apoorva received his BS in Engineering at Harvey Mudd College, where he was a member of the Lab for Autonomous and Intelligent Robotics, working on path planning for autonomous underwater vehicles.



   Research Area(s)

[Artificial Intelligence and Machine Learning ](/research-area/machine-learning-artificial-intelligence)

[Autonomous Vehicles](/research-area/autonomous-vehicles)

[Resilience and Safety](/research-area/resilience)

 

 

  

 Main Field of Interest

[Autonomous Vehicles](/research-area/autonomous-vehicles)

 

  

 Google Scholar

<https://scholar.google.com/citations?user=uxiJcasAAAAJ>

 

  

 

 

 



 ### Publications

 

### 2025 

[Sim2Val: Leveraging Correlation Across Test Platforms for Variance-Reduced Metric Estimation](/publication/2025-09_sim2val-leveraging-correlation-across-test-platforms-variance-reduced-metric)

[Rachel Luo](/person/rachel-luo), [Heng Yang](/person/heng-yang), [Michael Watson](/person/michael-watson), [Apoorva Sharma](/person/apoorva-sharma), [Sushant Veer](/person/sushant-veer), Edward Schmerling, [Marco Pavone](/person/marco-pavone)













### 2023 

[PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction](/index.php/publication/2023-12_pac-bayes-generalization-certificates-learned-inductive-conformal-prediction)

[Apoorva Sharma](/index.php/person/apoorva-sharma), [Sushant Veer](/index.php/person/sushant-veer), Asher Hancock, Heng Yang, [Marco Pavone](/index.php/person/marco-pavone), Anirudha Majumdar



[Arxiv](https://arxiv.org/abs/2312.04658)









[Multi-Predictor Fusion: Combining Learning-based and Rule-based Trajectory Predictors](/index.php/publication/_multi-predictor-fusion-combining-learning-based-and-rule-based-trajectory-predictors)

[Sushant Veer](/index.php/person/sushant-veer), [Apoorva Sharma](/index.php/person/apoorva-sharma), [Marco Pavone](/index.php/person/marco-pavone)



[Arxiv](https://arxiv.org/abs/2307.01408)