Research Staff Member, AI Security And Privacy at IBM
Cambridge, Massachusetts, Switzerland
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Summary
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Senior
Beat Buesser is a research staff member specializing in AI security and privacy with 13 years of experience bridging academic research and industrial ML at institutions including MIT, ETH Zurich, and IBM. He maintains and core-develops the Adversarial Robustness Toolbox, driving practical defenses and red/blue team tooling for adversarial machine learning. Comfortable across Python, C++, CUDA and Scala, he brings hands-on systems skills from back-end contributions to notable open-source projects like the RMG-Py reaction mechanism generator. His work spans automated machine learning, predictive analytics, augmented reality, and now focuses on differential privacy, cryptography, fairness, and explainability. Based in Cambridge, MA but originally from Switzerland, he combines rigorous research training with production-grade engineering to turn theoretical security controls into usable ML tooling.
Python version of the amazing Reaction Mechanism Generator (RMG).
Role in this project:
Back-end Developer
Contributions:167 commits in 1 year 2 months
Contributions summary:Beat primarily contributed to the development of the Reaction Mechanism Generator (RMG) Python package. Their work focused on expanding the program's capabilities by adding support for nitrogen atom types and handling lone electron pairs within the molecular representation. They also enhanced the molecule class with functions for resonance isomer identification and methods for calculating and manipulating electronic charges and spin multiplicities. Furthermore, the user made changes in various parts of the code to support new features and data handling mechanisms.
Python version of the amazing Reaction Mechanism Generator (RMG).
Contributions:65 commits in 1 year
mechanismpythonreactionrmgpython-version
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Beat Buesser - Research Staff Member, AI Security And Privacy at IBM