I'm Ross Alexander.

I'm a software engineer, researcher, and educator focused on using machine learning to help people control, understand, and leverage their data.

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About Me

I'm a recent M.S. Aeronautics & Astronautics graduate from Stanford University where my research focused on artificial intelligence and autonomous systems. I'm interested in applied machine learning and how it can be leveraged to help us develop and deploy systems capable of intelligent decision-making under uncertainty. I have experience designing intelligent systems using techniques ranging from traditional AI to modern ML (see my experience and portfolio for more). I typically code in Python or Julia, using open-source libraries such as PyTorch, TensorFlow, Scikit-Learn, and Spark.



Software Engineer February 2022 - Present

  • Building the World's Most Experienced Driver

Stanford Intelligent Systems Lab (SISL)

Graduate Researcher February 2020 - September 2021

Autonomous Driving Research
  • Planning under uncertainty for autonomous driving in urban scenarios with smart infrastructure
  • Developed and implemented novel sensor- and decision-fusion algorithm enabling tractable planning that achieves 0% collision rate in high-risk occluded pedestrian scenarios
COVID-19 Policy Research
  • Adaptive control of spread of epidemics using graph-mined contact network models
  • Developed end-to-end decision support tool utilizing modified Monte Carlo tree search (MCTS)

Stanford Pre-Collegiate Studies

Course Instructor June 2020 - August 2021

  • Developed 80+ hours of undergraduate-level machine learning and data science curriculum
  • Lead instructor for 7 two-week courses, taught 100+ students, avg. overall course ratings ~4.6/5.0

CFD Research Corporation

Machine Learning Intern May 2019 - August 2019

  • Researched, implemented, and trained deep Gaussian processes (deep GPs) for regression tasks
  • Leveraged deep GPs in active learning tasks for ~20% increase in sample efficiency over shallow GPs
  • Co-authored research proposals and helped secure contracts totaling $500K+


Stanford University

M.S. in Aeronautics & Astronautics, Artificial Intelligence Track June 2021

  • Stanford Graduate Fellowship in Science & Engineering (SGF)
  • Teaching Assistant — CS 238: Decision Making Under Uncertainty (Fall 2020)

Texas A&M University

B.S. in Aerospace Engineering, Honors May 2019

  • Texas A&M University President's Endowed Scholar
  • Lead Teaching Assistant — AERO 430: Advanced Numerical Simulation (Spring 2019, Fall 2018, Spring 2018)
  • Teaching Assistant — MATH 152: Engineering Mathematics II (Spring 2017)
  • Teaching Assistant — ENGR 289: Engineering Mathematics (Fall 2016)



  • Python
  • Julia
  • Matlab
  • SQL
  • C++


  • PyTorch
  • TensorFlow
  • Scikit-Learn
  • PySpark

My Portfolio

Several of my recent projects are included here.

Decision Making Under Uncertainty

COVID-19 Policies

Decision-Making Under Uncertainty

Infrastructure Sensor Fusion for Autonomous Urban Driving

Machine Learning, Optimization

Active Learning for Efficiently Constructing Surrogate Models


Unconstrained Optimization using Adaptive Moment Estimation (ADAM)

Decision Making Under Uncertainty

Bayesian Structure Learning

Reinforcement Learning

Model-Free Reinforcement Learning

Reinforcement Learning

Multi-Segment Dynamic Pricing for Airline Tickets

Decision Making Under Uncertainty

Planning with Sensor Occlusions in Urban Autonomous Driving Scenarios

Planning & Control

Estimating Vehicle Kinematics Using Onboard IMU and Wheel Speed Sensors

Machine Learning

Learning Unregularized Quaternion Knowledge Graph Embeddings

Machine Learning

Randomized Low-Rank Approximation of Kernel Matrices in Gaussian Processes

Planning & Control

Path-Tracking Controllers for Autonomous Driving

Data Science

Epidemic Modeling for Stanford University Subpopulations under Various Policy Scenarios

Machine Learning, Data Science

Stock Price Prediction

Artificial Intelligence, Machine Learning

Artificial Intelligence Course (9th-11th Grade)

Numerical Simulation

Numerical Simulation Course (9th-11th Grade)

Artificial Intelligence, Machine Learning

Artificial Intelligence Course (7th-9th Grade)

Machine Learning, Data Science

Technology in the World Today Course (7th-11th Grade)

Say Hello

Have a new project in mind? Let's collaborate and build something awesome. Let's turn that idea into an even greater product!