أحْمَد رُشْدِي

Biography

Thank you for visiting my webpage. I am a research scientist and Director of Industry Programs at Stanford University's Institute for Human-Centered Artificial Intelligence (HAI), co-directed by Fei-Fei Li and James Landay, where I lead research collaborations and executive education initiatives that translate cutting-edge AI, ML, and foundation models' research into applied real-world solutions. My own research interests span uncertainty quantification (UQ) for scientific machine learning (SciML) and broader areas of AI/ML trust, safety, privacy, and responsible development.

Prior to joining Stanford, I was a research scientist at the Center for Computing Research at Sandia National Laboratories, where I worked with the Dakota team and served as principal investigator on projects involving UQ/ML for high-dimensional surrogate modeling, computer vision, and time-series analysis. Before Sandia, I held positions as R&D Manager of Data Science at Northrop Grumman Corporation, research fellow at the Department of Electrical and Computer Engineering at UC Davis and the Computational Visualization Center at the Oden Institute for Computational Engineering and Sciences at UT Austin, and R&D engineer at Cisco Systems. I hold a Ph.D. in Electrical and Computer Engineering with a minor in Applied Mathematics from the University of California, Davis, and M.S. and B.S. 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

• Dec 2025Attending and presenting at the thirty-ninth Conference on Neural Information Processing Systems (NeurIPS) in San Diego, California
• Sep 2025Co-organizing the AI for Organizations Grand Challenge with Google DeepMind.
• Apr 2025Co-organizing a workshop on Human-AI Coevolution (HAIC) at the thirteenth International Conference on Learning Representations (ICLR) in Singapore
• Dec 2024Attending the thirty-eight Conference on Neural Information Processing Systems (NeurIPS) in Vancouver, Canada
• Oct 2024Co-organized the first HAI/ICME/SLAC Bridging the Farm: AI for Science at SLAC and Stanford workshop, in Palo Alto CA
• Jul 2024Delivered 2 talks on model evaluation and bias mitigation in text-to-image models at Impact Genius' AI for Good Institute, at Stanford University, Palo Alto, CA
• May 2024Judged and mentored teams at NextGen II Hackathon, in Riyadh, Saudi Arabia
• Mar 2024Attended Nvidia GPU Technology Conference (GTC), in San Jose CA
• Feb 2024Co-organized Stanford's HAI/SAL AI+Education Summit: Advancing Human Learning with AI Technologies, in Palo Alto CA
• 2023–NowServed as a panelist/reviewer on Stanford's Ethics & Society Review and similar AI/ML red-teaming, model evaluation, and safety/responsibility risk analysis efforts with industry affiliates.
• Dec 2023Attended 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).
• Dec 2023Co-organized Stanford's HAI/AIMI AI+Health Conference 2023, in Palo Alto CA
• Sep 2023Organized and moderated a panel on Mental Health and Artificial Intelligence at Stanford's Trust and Safety Research Conference 2023
• Jul 2023Attended the Fortieth International Conference on Machine Learning (ICML) in Hawaii
• Feb 2023Co-organized Stanford's AI+Education Summit: AI in the Service of Teaching and Learning in Palo Alto, CA
• Nov 2022Attended the thirty-sixth Conference on Neural Information Processing Systems (NeurIPS) in New Orleans, LA
• Aug 2022The 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
• Apr 2022Co-organized a minisymposium on "Advances at the Interface of Uncertainty Quantification and Machine Learning" at SIAM Conference on Uncertainty Quantification (UQ22)
• Dec 2021Started a new role at Stanford's Institute for Human-Centered Aritifical Intelligence
• Sep 2021Started a new role as an Advisory Council Member with the Engineering Leadership Program, California State University, Chico
• Sep 2019AI for Science Report: contributed to sections on machine/deep learning and uncertainty quantification
• CompletedNonprofit Leadership & Strategic Management Certificate: completed at San Francisco State University, San Francisco CA

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