Christopher Hazard Email & Phone Number

Houston, Tx, Us

San Francisco, Us

Developing a novel approach to solving math competition problems via math based LLM’s

Pittsburgh, Pa, Us

Founding member of the ML agent prediction team: intent/trajectory prediction for highway vehiclesLaid out a technical direction for agent prediction pipeline: implemented prototype for event-based vehicle prediction ranging from dataset curation, event labelling, model training, and metrics

Orange County, Ca, Us

Research and development in defense robotics: multi-agent drone coordination for search and reconnaissance

Boston, Massachusetts, Us

Member of the agent prediction team: developed various state of the art ML models and approaches to predicting future vehicle and pedestrian motion and intentions along with estimating uncertainty associated with these predictions for use in vehicle motion planningResearch into a continuous learning framework for automatically identifying and clustering difficult traffic scenarios via scene complexity heuristics or learned representations and dynamically upsampling these scenarios during training to continuously improve the prediction model without trading off performance on other scenarios

Designed/developed control systems, deep task representations and reinforcement learning based motion planning for robotic manipulation part insertion•Developed object detection and classification algorithms for obstacle detection on offroad autonomous mining vehicle perception system•Designed/developed adaptive state estimation algorithms for off-road autonomous vehicles in variable/noisy conditions•Research in robust perception and neural network verification for image classification (applied to autonomous vehicles): proposed novel system for targeted data augmentation in training robust image classifiers•Research in machine learning based fault injection and generalization in robot software systems•Designed/implemented software for robot arm inspection and automated cleaning of aircraft wings: responsible for control, vision, and planning components

Pittsburgh, Pa, Us

•Masters Thesis: "Automated Design of Manipulators for In-Hand Tasks"Advised by Professors Nancy Pollard and Stelian Coros as part of the CMU RI Masters in Robotics Research program•Experience in trajectory optimization, robotic manipulation, deep learning, simulation & control systems, motion planning, and reinforcement learning

Pasadena, Ca, Us

Independent research supervised by Prof. Ben Gillen•Developed and back-tested machine learning based stock market trading strategies utilizing technical indicators and Bayesian time series analysis techniques•Developed market micro-structure models for short term market dynamics and market bubble prediction

Falls Church, Va, Us

Worked on the BluVector project, a machine learning based malware detection system•Analyzed machine learning algorithms to improve system performance and verify correctness/novelty in detecting malware.

Master'S Degree, Robotics

Bachelor'S Degree, Computer Science

Education record