Tom Donahue Email & Phone Number

United States

United States

Sunnyvale, Ca, Us

Engineering Lead in charge of architecting, developing and evaluating cutting-edge conversational technologies and character experiences for Jibo.Languages: Typescript / JS / NodeTechnologies: Azure Speech / Cognitive Services, Neo4j, Microsoft BotFrameworkMethodologies: Agile (Scrum)

Boston, Massachusetts, Us

Member of the team that investigates, designs, implements and integrates high-level behaviors into gita and beyond, focusing primarily on enabling and ensuring reliable, intuitive, and seamless human-robot interactions in every situation.Languages: C++ (17), PythonTechnologies: ZeroMQ, ROS, Realsense, Robotics, Ubuntu, Git

Boston, Ma, Us

Member of the Character AI team, tasked building the subsystems and tools necessary to make the first social robot for the home—Jibo—feel lifelike, produce dynamic behavior, and ensure a consistent character experience across his wide range of interactions and skills.Languages: Typescript/JS, PythonTechnologies: OSX, Robotics, GitMethodologies: Agile (Scrum)

San Francisco, California, Us

Member of a small, agile team, as well as apart of a larger multinational team with others headquartered in Paris and Tokyo. I designed and built immersive behavior and functionality into Aldebaran's range of autonomous humanoid robots (Pepper and NAO). I worked on everything from sensor extraction to consumer apps, NLP to front-end web and much in-between.Languages: Python, JS, HTML/CSS, C++Technologies: Linux, Git, RoboticsMethodologies: Agile (Scrum)

Medford, Massachusetts, Us

Human-Robot Interaction and AI research; heavily focused on natural language understanding and generation. Contributed significantly to ADE, a research focused robot middleware. Specifically, I implemented a new distributed notification system and overhauled the system GUIs, leading to improved efficiency and speed, as well as a simplified UX. Furthermore, I designed and conducted an HRI study investigating the role of remote video feeds on perceptions of robot teammates (published at IROS14). In addition, I developed a number of tools to aid in the research process; such as a data-mining tool for rich audio and video corpora and annotations and a web-survey platform utilized for multiple HRI studies.Languages: Java, JS, PHP, HTML/CSS, R, LaTeXTechnologies: Linux, Git, SVN

Bowling Green, Oh, Us

Human-Computer Interaction research, with strong emphasis placed on next generation interfaces and accessible computing.For next-gen, my team developed a novel, tangible password input system (presented at CHI'12) and I investigated the learning benefits of and tradeoffs between mouse, touch and tangible input systems (presented at TEI'13). On accessble computing, my team designed, built and tested an alternative UI for World of Warcraft for the visually impaired community and helped build a series of web-tools for use in undergraduate geology courses to help bootstrap geology students with poor spatial ability.Languages: Java, C++, HTML/CSS

Bowling Green, Oh, Us

(Now known as the Timing, Attention & Perception Laboratory at Michigan State University.)Built a neural-network model of auditory perceptual categorization. Resulting poster was accepted and presented at the National Conference on Undergraduate Research.Languages: MATLAB

Graduate Studies, Computer Science And Cognitive Science

Master Of Science (M.S.), Computer Science

Bachelor Of Science (B.S.), Computer Science And Psychology