Transportation Systems Specialist. Kiran earned his Masters’s degree in transportation systems design from Art Center College of Design and has experience in working for VW India, automotive consulting and autonomous vehicle service design. His area of focus is identifying needs and defining opportunity space at the intersection of AV deployment strategy, transportation policy, and safety validation.
Lorenzo Niccolini
AI Engineer. Lorenzo earned his MSc in Artificial Intelligence from Imperial College London. He completed his dissertation on applying reinforcement learning to train autonomous vehicles, and focused his degree primarily on computer vision and deep learning. Before this he graduated with a BSc in Physics from the University of Warwick.
Hugh Blayney
AI Engineer. Hugh completed his MSc in Computer Science at the University of Oxford in 2020, with an emphasis on machine learning and logic. His dissertation focused on learning Datalog rules with Graph Neural Networks, and examining applications of this research to knowledge graph completion and explainable AI. Prior to this, he earned a BSc in Theoretical Physics from Imperial College London.
Mariya Pozdeyeva
Simulation engineer. Mariya is working on dRISK’s in-house simulation capabilities, focusing on vehicle physics and road user animations. She holds an MEng in Civil & Environmental Engineering from Imperial College London and has completed her final year project on trajectory optimisation for AVs at unsignalised intersections. She is currently also studying towards an MSc in Transport Engineering at Imperial College.
Rav Babbra
Business Development and Programme Manager. Rav is a chartered engineer with chartered project manager skills and 15 years of experience within multi-disciplined engineering environments and a record of successfully delivering complex global engineering projects. Rav advises dRISK on high-level partnerships and programme management. He holds a Bachelor’s of Science from University of Plymouth in Electrical Engineering.
Sam O'Connor Russell
AI Engineer. Sam completed his MSc in Artificial Intelligence at the University of Edinburgh in 2019, with a focus in machine learning and Bayesian statistics. Sam has experience applying neural networks to solve problems in areas such as natural language processing and computer vision. His dissertation focused on the application of statistics and machine learning to model the development of stem cells.
Brett Kennedy
Robotics Advisor. Brett is currently a Principal Engineer at the Jet Propulsion Laboratory and the Supervisor of the Robot Vehicles and Manipulators Group. Brett began his career in 1997 after receiving a B.S. in Mechanical Engineering from UC Berkeley and a Masters from Stanford. Brett has led a number of development programs in high reliability robotic systems for sponsors such as NASA, DARPA, DTRA, and the US Army; notable roles have been the Lead Engineer for the Robotic Arm aboard the Mars Science Laboratory (MSL) rover (Curiosity), and the Principal Investigator for JPL’s entry to the DARPA Robotics Challenge.
Nils Goldbeck, Ph.D.
Engineering Lead. Nils earned his Ph.D. in Transportation and Operations Research at Imperial College London. His research focused on a novel method for analysing the resilience of interdependent infrastructure systems with network flow models. Previously Dr. Goldbeck earned an MPhil in Engineering for Sustainable Development at the University of Cambridge.
Chess Stetson, Ph.D.
CEO. Chess completed his doctoral and post-doctoral work in Computation and Neural Systems at Caltech, and previously earned an AB in Physics from Harvard. He has more than a dozen peer-reviewed publications in experimental and computational neuroscience, 3 patents issued and 3 pending, and has spent years building and refining dRISK’s core knowledge graph IP and providing AI/ML solutions to Fortune 500 companies, large integrated healthcare providers, financial services firms and autonomous vehicle companies. He also occasionally appears as a neuroscience expert on National Geographic’s Brain Games.
...this could be you
dRISK is hiring talented, creative and diverse individuals to help us polish off the solution to the world’s greatest AI problem. Interested? info@drisk.ai