Lyft

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Hello! I am a recent graduate from Stanford, where I immersed myself in a wide variety of projects ranging from self-driving cars and robotics to mathematical optimization and machine learning. The growing list of projects includes developing software that automates the job of air traffic controllers for unmanned aircraft with NASA Ames and designing algorithms for self-driving cars at the Volkswagen Automotive Innovation Lab. As with all of my forays into new territories where I have little technical experience, I would first be a little vexed but then quickly be consumed by it. A (somewhat less serious but) personal favorite is an application of principal component analysis and supp...

convex optimization machine learning mdp platform systems engineering model predictive control mpc collision avoidance admm decentralized control utm drone uas air traffic management stochastic optimization markov decision process principal component analysis reinforcement learning deep learning distributed computing spark neural network

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Lyft

Presentaciones

Distributed Deep Q-Learning

Value Function Approximation via Low-Rank Models

Short-Term Conflict Resolution for Unmanned Aircraft Traffic Management

Cooperative Collision Avoidance via Proximal Message Passing

Architecting a real time optimization platform for driver positioning (applied ai summit 2019)

Architecting a real time optimization platform for driver positioning (informs 2019)