أحْمَد رُشْدِي

Biography

Thank you for visiting my webpage. I am a research scientist, interested mainly in fundamental Uncertainty Quantification (UQ) methods for Scientific Machine Learning (SciML), and broader relevant areas of AI/ML trust and privacy.

Currently, I am a Technical Lead and Senior Research Manager at Stanford University’s Institute for Human-Centered Artificial Intelligence (HAI), working with diverse AI/ML teams across Stanford and the corporate world, in order to envision and build novel solutions connecting cutting-edge AI/ML/GenAI and foundation models research to real-world problems.

Prior to joining Stanford, I was a research scientist at the Center for Computing Research of Sandia National Laboratories, where I worked with the Dakota team and PI'd a number of projects on UQ/ML for high-dimensional surrogate modeling, computer vision, and time-series analysis. Before Sandia, I was an R&D manager of data science at Northrop Grumman Corporation, a research fellow at the Department of Electrical and Computer Engineering of UC Davis and the Computational Visualization Center under Oden Institute for Computational Engineering and Sciences at UT Austin, and an R&D engineer at Cisco Systems. I hold a Ph.D. degree in Electrical and Computer Engineering (with a minor in Applied Math) from the University of California, Davis, and MS.c./BS.c. degrees in Electronics and Electrical Communications Engineering from Cairo University, Egypt. I am a senior member of IEEE and a member of ACM and SIAM.

Please feel free to reach out if you have any questions!

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Recent Activities

• [03/2024] Attended Nvidia GPU Technology Conference (GTC), in San Jose CA
• [02/2024] Co-organized Stanford's HAI/SAL AI+Education Summit: Advancing Human Learning with AI Technologies, in Palo Alto CA
• [12/2023] Attended the thirty-seventh Conference on Neural Information Processing Systems (NeurIPS) in New Orleans, LA. A panelist at NeurIPS Affinity Workshop of North Africans in Machine Learning (NAML).
• [12/2023] Co-organized Stanford's HAI/AIMI AI+Health Conference 2023, in Palo Alto CA
• [09/2023] Organized and moderated a panel on Mental Health and Artificial Intelligence at Stanford's Trust and Safety Research Conference 2023
• [07/2023] Attended the Fortieth International Conference on Machine Learning (ICML) in Hawaii
• [02/2023] Co-organized Stanford's AI+Education Summit: AI in the Service of Teaching and Learning in Palo Alto, CA
• [11/2022] Attended the thirty-sixth Conference on Neural Information Processing Systems (NeurIPS) in New Orleans, LA
• [08/2022] The Joint Statistical Meetings (JSM): Co-organized a minisymposium on "Research Advances at the Interface of Uncertainty Quantification and Machine Learning for High-Consequence Problems" at the Section on Statistics in Defense and National Security
• [04/2022] Co-organized a minisymposium on "Advances at the Interface of Uncertainty Quantification and Machine Learning" at SIAM Conference on Uncertainty Quantification (UQ22)
• [12/2021] Started a new role at Stanford's Institute for Human-Centered Aritifical Intelligence
• [09/2021] Started a new role as an Advisory Council Member with the Engineering Leadership Program, California State University, Chico
• [09/2019] AI for Science Report: contributed to sections on machine/deep learning and uncertainty quantification
• Nonprofit Leadership & Strategic Management Certificate: completed at San Francisco State University, San Francisco CA

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