I lead a team that builds software solutions for cross-industry business problems using Google Cloud's data analytics and machine learning products
Aleksandra Faust is a Deep Learning Task and Motion Planning Technical Lead and Manager at Google Brain Robotics, specializing in reinforcement learning. Previously, Aleksandra led machine learning efforts for self-driving car planning and controls in Waymo and Google X, and was a researcher in Sandia National Laboratories, where she worked on satellites and other remote sensing applications. She earned a Ph.D. in Computer Science at the University of New Mexico (with distinction), a Master’s in Computer Science from University of Illinois at Urbana-Champaign, and a Bachelor’s in Mathematics from University of Belgrade, Serbia. Her research interests include reinforcement learning, adaptive motion planning, and machine learning for decision-making. Aleksandra won the Tom L. Popejoy Award for the best doctoral dissertation at the University of New Mexico in Engineering, Mathematics, and Sciences in the period of 2011-2014. She was also awarded with Sandia National Laboratories’ Doctoral Studies Program and New Mexico Space Grant fellowships. Her work has been featured in the ZdNet, New York Times, and PC Magazine.
I am currently an AI resident in Google AI.
Ph.D. in Electrical and Computer Engineering, Rice University, May 2018
Advisor: Richard G. Baraniuk
Thesis: Data-Driven Computational Sensing
M.Sc. in Electrical and Computer Engineering, Rice University, May 2014
Advisor: Richard G. Baraniuk
Thesis: Topics on LASSO and Approximate Message Passing
B.Sc. in Electrical Engineering, Sharif University of Technology, June 2011
Machine Learning and Artificial Intelligence
Presently, develop curriculum and teach artificial intelligence, data science, machine learning and computer vision.
Formerly, principal Research Scientist and Project Manager with over 20 years experience in research fields and 30 years of industry experience, with 115 US issued patents. Masters of Computer Science, with major in Artificial Intelligence. Have worked a wide range of technology fields for commercial driven research. Primary expertise in last 5+ years has been on machine learning, neural networks, geospatial technologies, data science/analytics, open/big data, and autonomous vehicles.
Primary Programming Skills/Frameworks: Python, C#/C++/C, Java, Tensorflow, Keras, Sci-Learn, Visual Studio
Panel discussion with Research Scientist Aleksandra Faust, Developer Program Engineer Andrew Ferlitsch, Head of Data Analytics and AI Solution Lak Lakshmanan, & AI Resident Ali Mousavi.
The Kirkland ML Summit brings together developers from across the globe to discuss recent developments and get the latest news on everything Machine Learning. Join our many sessions to keep up with what’s going on in the Machine Learning world.