Samuel Hoffman


Samuel Hoffman




Research Software Engineer


IBM Research - Yorktown Heights Yorktown Heights, NY USA


Samuel C. Hoffman is a research software engineer at the Thomas J. Watson Research Center in Yorktown Heights, NY. He graduated from Cornell University with a B.S. in mechanical engineering and computer science in 2017. While at Cornell, he conducted research in autonomous robotics and image recognition. He then joined IBM Research after graduating in 2017. His research interests include deep learning and generative modeling as well as algorithmic fairness in machine learning. He was part of the team that released the AI Fairness 360 open-source toolkit and has been a key contributor and maintainer of AIF360. He has also conducted recent research into foundation models for chemistry in the MoLFormers suite, having worked on CogMol, QMO, and MoLFormer-XL.



Blog posts

  • Accelerating molecular optimization with AI

    Deep Dive
    Payel Das, Samuel Hoffman, Vijil Chenthamarakshan, Kahini Wadhawan, and Pin-Yu Chen
    11 minute read
    • Accelerated Discovery
    • Generative AI
    • Healthcare
    • Materials Discovery
    • Trustworthy AI
    • Trustworthy Generation

Top collaborators

John R. Smith

John R. Smith

IBM Fellow, Discovery Technology Foundations, Accelerated Discovery, IBM Research
Pin-Yu Chen

Pin-Yu Chen

Principal Research Scientist; Chief Scientist, RPI-IBM AI Research Collaboration