Taposh Dutta Roy
Responsible AI for Healthcare and High-Stakes Decision-Making
I lead enterprise AI in healthcare and research the ethics of clinical AI at Harvard Medical School — working at the intersection of deployment, governance, and human values.
Kaiser Permanente · Harvard Medical School · MIT Hacking Medicine · Author · Inventor
About
Enterprise AI Leadership in Healthcare
Taposh Dutta Roy is a healthcare AI leader, researcher, and author focused on building responsible AI systems for environments where trust, safety, and accountability matter. His work brings together enterprise AI execution, bioethics, governance, and advanced computing to help organizations deploy AI with rigor, responsibility, and measurable impact.
He is currently researching at the intersection of bioethics and AI at Harvard Medical School, where he co-developed the Autonomy Index, a framework for evaluating AI readiness in clinical decision-making, with Dr. Rebecca Weintraub Brendel at the HMS Center for Bioethics. His published work includes the BAIA (Bioethics Artificial Intelligence Advisory) framework, a peer-reviewed agentic AI system for clinical ethical decision support, published in Cureus and indexed in PubMed.
Taposh is the author of two books: Intelligent Governance: Navigating the Complexities of AI in Classical and Quantum Computing, and Medical Image Processing with Deep Learning. He holds a USPTO patent (19/247,983) for a Hospital Digital Twin system. In 2025, he and fellow HMS student Nada Salem won first place at MIT Hacking Medicine for HospiTwin, recognized for the Best Use of Generative AI in Healthcare.
Earlier in his career, Taposh co-founded Bio-Integrated Solutions, a biotech company developing DNA sequencers and liquid-handling devices for proteomics. He served as Head of AD Products at Inpowered and Netshelter (acquired by Ziff Davis), and as Senior Associate Consultant at Sapient (now Publicis Sapient). He is the founder and chair of the Silicon Valley Quantum and Advanced Computing Group.
Taposh holds a Master of Science in Electrical Engineering from the Illinois Institute of Technology, Chicago, and an MBA from the University of California, Davis.
Track Record
Selected Impact
Contributed to programs deploying 3,000+ AI models across enterprise healthcare settings
40+ hospitals supported through AI-driven operational transformation
Contributed to AI programs with $1B+ in projected operational value
Harvard Medical School research on autonomy, ethics, and clinical AI
Co-developed the Autonomy Index for clinical AI evaluation
Published the BAIA framework for AI-assisted clinical ethical decision support
Named inventor on a USPTO patent application in hospital operational intelligence
1st place at 2025 MIT Hacking Medicine for HospiTwin
Focus Areas
What I Work On
Enterprise AI Strategy
Building and scaling AI capabilities in healthcare, from innovation to enterprise deployment, with a focus on operational value, adoption, and long-term organizational fit.
Responsible AI Governance
Designing practical frameworks for transparency, accountability, safety, and human oversight in AI systems used in high-stakes environments.
Clinical AI and Bioethics
Researching autonomy, informed consent, ethical reasoning, and human values in clinical AI through work at Harvard Medical School.
Advanced Computing
Exploring the future of intelligent systems through simulation, quantum computing, and emerging computational approaches relevant to healthcare and decision systems.
Research
Featured Research and Projects
Autonomy Index
A framework for evaluating whether AI supports, preserves, or undermines meaningful decision-making in clinical settings.
BAIA
A bioethics-centered AI framework for clinical ethical decision support, integrating principlism, casuistry, and narrative ethics.
Hospital Digital Twin / HospiTwin
A healthcare simulation and operational intelligence platform designed to improve decision-making, throughput, and system-wide coordination.
Writing
Publications and Books
My writing spans responsible AI, healthcare AI, governance, clinical ethics, and advanced computing. It includes peer-reviewed research, public-facing essays, and books aimed at helping leaders and practitioners navigate the future of intelligent systems.
Engagement
Speaking, Advisory, and Community
I work with leaders, organizations, and institutions navigating the opportunities and risks of AI in healthcare and other high-stakes domains. I also organize the Silicon Valley Quantum and Advanced Computing meetup, hosting expert sessions on quantum computing, simulation, and next-generation intelligent systems. I am available for advisory conversations, executive strategy discussions, guest lectures, panels, and keynote talks.