
Professor of Statistics, Electrical Engineering, and Computer Science at the University of Minnesota Twin Cities, ex-Amazon Scholar with expertise in AI, ML, and data science.
We believe intelligence should be mutual: AI that learns from human expertise, and humans who benefit from AI’s speed, scale, and reasoning. MorphMind’s platform provides a continuously adaptive environment where AI agents and domain experts co-learn. By observing decisions, understanding reasoning patterns, and providing feedback-driven recommendations, our agents evolve into collaborative partners.

Professor of Statistics, Electrical Engineering, and Computer Science at the University of Minnesota Twin Cities, ex-Amazon Scholar with expertise in AI, ML, and data science.

Professor of Bioenegineering at Harvard University and serial entrepreneur who's spent his career translating frontier life science research into real-world impact.

AI researcher driven to create evolving AI systems that rethink how people discover, reason, and collaborate.

Ex-Amazon AI researcher known for designing trustworthy, production-grade AI systems at enterprise scale.

Design & Psychology @ Harvard; Product designer creating empathetic, human-centered AI solutions for startups and enterprises (ex-WSJ, ex-Rebind AI).

Product designer with a strategic PM mindset and experience shipping B2B no-code AI products. CMU HCI graduate with a background in AI and EdTech (ex-CPII).

Industrial Design @ RISD; Product designer focused on human-centered solutions at the intersection of technology and human experience. (ex-NASA)

Product designer translating complex AI and B2B workflow systems into intuitive user experiences (ex-Quantumverse AI, ex-Amotions AI).

Hands-on ML and cloud engineer shipping rapid prototypes across embeddings, retrieval, and scientific data pipelines.

Yale EP&E student with experience in social media, business development, and data-driven marketing (Beinecke Library & Vivienne Hu LLC).

Harvard Neuroscience and CS student with experience in growth strategy and go-to-market analysis across YC-backed Thera and MIT $100K winner Vocadian.