Integrating broad, deep knowledge and expertise in AI/ML, chemical and biological catalysis, automated synthesizers, and education and outreach, the MMLI is an open ecosystem of disruptive thinking, education, and community engagement powered by state-of-the-art molecular design, synthesis, and spectroscopic characterization technologies – all interfaced with a modern cyberinfrastructure. As a first-of-its-kind addition to the nation’s research infrastructure, MMLI is a powerful component to the research community.

The MMLI is accelerating, advancing, and democratizing molecular innovation; powerfully enabling more efficient manufacturing and discovery of molecules with important functions; driving the advanced development of a wide range of frontier AI methods; and broadening access to the small molecule making process.

Diversity, Equity, and Inclusion at the MMLI

Creating a diverse and inclusive Institute is central to the mission and vision of the MMLI. Each person brings a unique and valuable perspective, expertise, and experience. Diverse talent is an asset to enhance creativity and innovation, allowing for more effective and impactful research and education.

We believe that all who wish to be part of the MMLI community should have equal opportunity to, including students, educators, researchers, and members of the broader community.

To this end, the MMLI is continually working to create and sustain a culture of inclusion within the MMLI and broaden participation through educational and outreach activities to increase the STEM pipeline. The MMLI seeks opportunities to work with collaborators and partners to ensure the Institute is a diverse and inclusive ecosystem.

Research Ethics 

All students and scholars associated with the Institute receive training in the ethics of artificial intelligence and the responsible conduct of research (RCR) using a multi-pronged approach that includes classroom and online instructions, augmented with discussions with peers and senior colleagues such that institute members and affiliates at different stages and levels can all benefit. This includes traditional training as well as on ethical issues resulting from new methods for the analysis of ‘big data’, such as privacy issues, compliance with HIPAA, FERPA regulations and the like. All scholars associated with the institute receive RCR training covering research conduct, plagiarism, fabrication and data falsification, data management, collaborative research, mentor-mentee relationships, peer review, authorship, conflict of interest, intellectual property, and information security.

National Science Foundation Support

The Molecule Maker Lab Institute is an AI Institute for Molecular Discovery, Synthesis Strategy, and Manufacturing supported by the National Science Foundation under Award No. 2019897.

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