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A full list of my publications is available on the publications page.

Contact Information

Name Justin D. Weisz, Ph.D.
Professional Title Human-Centered AI Researcher
Email hello [at] jweisz [dot] org
Location New York
Website https://jweisz.org/

Professional Summary

Research leader in human-centered AI focused on designing useful, safe, and personal AI systems that amplify and augment human capabilities. ACM Senior Member with numerous publications in top-tier HCI & AI venues including CHI, IUI, CSCW, FAccT, AIES, ICML, and IJCAI. Research topics span human-AI collaboration & co-creativity; agentic AI; responsible & human-centered explainable AI (HCXAI); and AI risk, governance, and evaluation. Versed in qualitative, quantitative, prototyping, crowdsourcing, and speculative design methods, with extensive experience collaborating with AI & ML researchers, engineers, product managers, and designers to prototype the future and deliver research insights into shipped products.

Experience

  • 2026 - Present
    AI Research & Product Advisor
    Independent
    • Brilliance Foundation: Incubating new human-centered AI research lab focused on developing AI systems that sharpen people’s critical thinking skills and help them avoid cognitive surrender and overreliance.
    • Snorkle Labs: Advising on business, IP, tech stack, and funding strategy for a health care data visualization startup. Creating a new AI product to educate patients on medical conditions and treatment options.
    • SplitStay: Advising on research, product, and IP strategy for a group travel coordination startup, with a focus on using AI for preference elicitation & negotiation.
  • 2022 - 2025

    Yorktown Heights, NY

    Senior Research Scientist, Manager, and Strategy Lead, Human-Centered Trustworthy AI
    IBM T.J. Watson Research Center
    • Co-led global research strategy on human-centered trustworthy AI, overseeing 30+ research scientists, engineers, and designers with backgrounds spanning AI, machine learning, and human-computer interaction. Research topics spanned human-AI collaboration & co-creation; personal AI & mutual theory of mind; AI risk identification & mitigation; contextual privacy in LLMs; agentic AI development & multi-agent collaboration under differing value alignments; factuality assessment; and disclosure of AI use in co-creative processes.
    • HCAI research portfolio recognized by IBM as having an Outstanding scientific impact from 2017-2025: 50+ papers garnering 3,500+ citations, 10 papers with > 100 citations, 14 organized workshops, and multiple open source projects (e.g. QUX360, EvalAssist, Contextual Privacy Toolkit, GANDissect, GLTR, LMDiff, Transformer Explainer, Diffusion Explainer).
    • Led cross-organization and cross-disciplinary teams to develop & evaluate prototype systems for human-AI collaboration & co-creativity in software engineering and design.
    • Worked hands-on with product teams to translate design prototypes and research findings into new product features and measure the productivity impact of AI.
    • Educated 3,000+ design practitioners on designing effective and safe generative AI user experiences by developing training materials, delivering seminars, and crafting new design thinking methods.
    • Added new risks from generative AI to the IBM AI Risk Atlas.
    • Directly managed a team of 10+ researchers, software engineers, and designers. Provided career development, mentoring & coaching, and performance evaluation.
  • 2019 - 2022

    Yorktown Heights, NY

    Manager & Strategy Lead, Human-AI Collaboration
    IBM T.J. Watson Research Center
    • Led research strategy on human-AI collaboration focused on trustworthy AI systems (fairness, explainability), human-centered automation of data science, and human-AI co-creation with generative models.
  • 2018 - 2019

    Yorktown Heights, NY

    Research Staff Member, HCI of AI
    IBM T.J. Watson Research Center
    • Developed a research agenda to train users to have effective interactions with conversational AI.
  • 2016 - 2018

    Yorktown Heights, NY

    Senior Manager, Emerging Technology Research
    IBM T.J. Watson Research Center
    • Led a team of researchers and software engineers to develop novel methods for interacting with and programming emerging technologies, including quantum computers, drones, and other IoT devices.
  • 2015 - 2016

    Yorktown Heights, NY

    Senior Manager, Mobile Solutions & Infrastructure
    IBM T.J. Watson Research Center
    • Led a cross-disciplinary team to produce novel mobile & wearable solutions in healthcare and UAV solutions in agriculture.
  • 2013 - 2015

    Yorktown Heights, NY

    Manager, Mobile Solutions & Infrastructure
    IBM T.J. Watson Research Center
    • Led a cross-disciplinary team to produce novel mobile & wearable solutions for field service technicians, middleware for migrating data to the cloud, and transformative mobile applications for multiple industries.
  • 2010 - 2013

    Yorktown Heights, NY

    Research Staff Member, Next Generation Technologies
    IBM T.J. Watson Research Center
    • Developed analytics pipelines for identifying emotional content in email and instant message data, designed visualizations for an expertise-building recommender system, and developed location-based services for WebSphere Commerce.
  • 2004 - 2005

    Hawthorne, NY

    Research Intern, Social Computing Group (2005) & Enhanced Web Experience Group (2004)
    IBM T.J. Watson Research Center
    • Across two internships, applied qualitative, quantitative, and visualization methods to examine use of IBM Community Tools (ICT), an instant messaging platform supporting topical group chats.
  • 2003 - 2009

    Pittsburgh, PA

    Graduate Research Assistant
    Carnegie Mellon University
    • Examined the experience of conversing while watching online videos via controlled experiments and field studies, and identified social benefits of group-based online video watching for both friends and strangers, despite distractive aspects of chat.
    • Designed a new visual representation of large-scale online audiences.
    • Built applications for viewing and broadcasting video on End System Multicast, a novel peer-to-peer overlay network.

Education

  • 2003 - 2009

    Pittsburgh, PA

    Ph.D.
    Carnegie Mellon University
    Computer Science
    • Dissertation: Collaborative Online Video Watching
    • Committee: Sara Kiesler (co-chair), Hui Zhang (co-chair), Luis von Ahn, Wendy Kellogg (IBM)
  • 2003 - 2007

    Pittsburgh, PA

    M.S.
    Carnegie Mellon University
    Computer Science
  • 1999 - 2003

    Pittsburgh, PA

    B.S.
    Carnegie Mellon University
    Computer Science
    • Graduated with University and SCS College Honors
    • Senior Honors Thesis: Detecting Cheaters in a Distributed Multiplayer Game

Awards

  • 2025
    IBM Outstanding Technical Achievement Award: AI Governance Innovations to watsonx.gov and Open Source
    IBM
  • 2024
    IBM Outstanding Technical Achievement Award: Leadership in Human-AI Co-Creation
    IBM
  • 2023
    IBM Technical Achievement Award: Generative AI for Designers
    IBM
  • 2022
    IBM Technical Achievement Award: Leadership in Human-AI Co-Creation
    IBM
  • 2022
    IBM Pat Goldberg Memorial Best Paper Honorable Mention
    IBM Research

    For “Better Together? An Evaluation of AI-Supported Code Translation” (IUI 2022).

  • 2021
    IBM Volunteer Excellence Award
    IBM

    For contributions to TJBot classroom learning activities in support of Vietnam Teacher’s Day.

  • 2016
    IBM Master Inventor
    IBM

    Appointed for IP mentorship activities and development of IP in areas strategic to IBM.

Skills

AI / ML: Agentic AI & LLM frameworks, LLM memory & context engineering, Post-training, evals & LLM-as-a-Judge, RAG
Human-Computer Interaction: Experimental design & statistical analysis, Qualitative methods & survey design, Prototyping & crowdsourcing, Design fiction & interaction design, UX evaluation
Development: Python, R, TypeScript, Agile & open source, AI-assisted coding
Leadership: Research program design & portfolio management, Research-to-product impact, Cross-functional technical leadership, Mentorship & coaching

Projects

  • TJBot: Community Edition

    Modernized TJBot software stack with TypeScript and Python libraries and support for on-device STT/TTS/Vision models.

  • Idea Gauntlet

    Web-based game for debating ideas against AI agents, designed to showcase how AI can help improve critical-thinking skills.

  • Entanglion

    World’s first open source board game to teach fundamental principles of quantum computing. Used in hundreds of high school and university classrooms as part of curriculum.

  • CardKit

    Card-based programming method to enable business users to program IoT devices with AI services.

  • TJBot

    Paper / 3D-printed robot designed to teach people how to program with IBM’s Watson AI services. Used by hundreds of thousands of students & makers worldwide.

Service

Patents