Ph.D. Student in Computer Science, Cognitive Science, and Neuroscience
Triple Major Ph.D. Student at the University of Colorado Boulder
M.S. in Intelligent Systems Engineering (Neuroengineering) from Indiana University
B.S. in Intelligent Systems Engineering (Cyber-Physical Systems) from Indiana University
I develop AI and robotic technologies to advance our understanding of human mental and cognitive health. My research focuses on creating intelligent assistive systems that can support, monitor, and enhance psychological well-being through cognitive neuroscience-informed design.
Hi! My name is Zachary Kaufman. Thanks for visiting my site. I am a second-year Ph.D. student at the University of Colorado Boulder, triple majoring in Computer Science, Cognitive Science, and Neuroscience.
At CU I am a member of the System-Human Interaction with NIRS and EEG (SHINE) Lab, as well as the ACME Creative Machine Environment (ACME) Lab. Within both labs I work on a variety of projects in the fields of Human-Computer Interaction, Human-Robot Interaction, and Cognitive Neuroscience.
Please feel free to reach out to me if you have any questions about my research, would like to collaborate, or just want to chat! I also review prospective Ph.D. students' applications in the fall, so if you're a prospective student I would be happy to provide application feedback.
Triple major program focusing on developing computational tools (with a focus on AI and robotics) to better understand human behavior in high performance situations or in assistive applications for mental and/or cognitive health.
Member of the SHINE Lab and the ACME Lab
Concentration in Neuroengineering
Research focus on human trust in AI systems utilizing physiological and neurophysiological signals, as well as testbed development for large-scale collaborative research projects.
Member of the R-House Human-Robot Interaction Lab and the Socioneural Physiology Lab
Concentration in Cyber-Physical Systems
Minor in Creative Technologies in Art & Design
Extensive research in Human-Robot Interaction with research spanning topics such as Socially Assistive Robots for Major Depressive Disorder, elderly and dementia care, and child engagement systems.
Heavy focus was placed on data privacy, transparency, and ethical considerations in human-robot interaction.
Member of the R-House Human-Robot Interaction Lab
Developing AI systems that enhance rather than replace human capabilities, focusing on trust, transparency, and mutual understanding.
Creating technology that supports mental health, cognitive wellness, and human flourishing through evidence-based design.
Understanding and protecting against misinformation through neurocognitive insights and AI-powered detection systems.
My research sits at the intersection of Human-Computer/Robot Interaction and Cognitive Neuroscience, with a focus on developing robots and AI systems that support human well-being. I am passionate about exploring how intelligent systems can improve mental health, enhance human-computer interactions, and contribute to a more empathetic, connected, and flourishing society.
Studying the use of Large Language Models (LLMs) in human exploration missions in which communication delays will be common, such as on the NASA Artemis missions. We will test our LLM countermeasures in simulated environments at CU Boulder as well as at NASA's HERA environment in which communication delays between team members will be present.
Collaboration with Colorado School of Mines.
Multidisciplinary research studying the effects of misinformation on decision-making processes across various environments. Using fNIRS, fMRI, and eye tracking to understand cognitive vulnerabilities and develop AI-powered detection systems.
My current focus is on studying social media and it's cognitive effects from a neurocognitive perspective.
Collaboration with the USAF Academy.
Large-scale DoD-funded project developing methods to detect human trust in AI systems using physiological signals, micro-expressions, and ECG data. Created machine learning models to identify trust changes during human deception scenarios.
Developed perception models for Honda's Haru robot to dynamically adapt to children's engagement levels using non-invasive sensors. Focused on privacy-preserving interactions and creating meaningful connections across age and cultural barriers.
Participatory design research for Socially Assistive Robots supporting individuals with Major Depressive Disorder. Assisted in development of sensor suite for the robot, as well as workshops with participants to co-design robot appearance, programming, and sensor integration for symptom monitoring and management.
Course description in following card.
Responsibilities include teaching three weekly lecture sessions and helping manage the course team.
Introductory Computer Science course for CS majors. Teaches introductory computer programming using the C++ language.
Responsibilities included running two weekly recitations, holding office hours, creating and administering course examinations, and interview grading.
Second semester of the Tech Leadership and Innovation course. No change in responsibilities from Y101.
Full GA responsibilities extended beyond Y101 and included advising, event planning, and management of the Living Learning Center for the Luddy School of Informatics, Computing, and Engineering.
Additionally assisted in the Y101 course that LLC residents were required to take, covering professional skill development in the tech field, such as resumes, personal websites, interviews, elevator pithces.
Responsibilities for Y101 included grading, advising, and occasionally lecturing.
I love discussing my research as well as learning about the other amazing research projects happening around the world. Please feel free to reach out or view my work through the links below: