Top Stories
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![Illustration of a section of computer chip with one segment of the chip showing a schematic diagram of a human brain.]()
New elective connects AI to its operations research roots
Beginning this academic year, the school is launching a new focused elective – Data, Decisions and AI – that brings together courses in machine learning, reinforcement learning, data mining, causal inference and ethics, while explicitly connecting them to the core principles of operations research.
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Jason Erdell ’95 on AI, adaptability, and the long view of an operations research career
When Jason Erdell ’95 returned to the Cornell Duffield College of Engineering this fall, he came not simply to talk about artificial intelligence, but to reflect on how an operations research mindset prepares engineers to navigate repeated waves of technological change.
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![David A. Duffield ’62, MBA ’64 is making the largest gift in Cornell history.]()
Largest gift in university history names Cornell David A. Duffield College of Engineering
More than $520 million in contributions from David A. Duffield ’62, MBA ’64 – including a new pledge of $371.5 million and a 2025 commitment of $100 million, combined with previous gifts – will establish the Cornell David A. Duffield College of Engineering.
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Awards and Honors 2026
Students, faculty, staff, and alumni of the School have been honored for academic success, teaching and advising prowess, research excellence, community-building, and career contributions to the field of operations research.
New Faculty Profiles
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![Jessica Rush Leeker sits at a table, smiling.]()
Connecting people, purpose, and data in engineering education
Jessica Rush Leeker’s work sits at the intersection of engineering education, data-driven decision making, and social impact—fields she approaches with both systems-level insight and deep empathy for how people learn.
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![Shoham Sabach]()
Where elegant theory meets real-world impact
Shoham Sabach focuses on optimization theory and its broad applications in data science and artificial intelligence. His research blends rigorous mathematics with the messy complexity of real systems—exactly the mix that defines modern operations research.
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![Yuchen Wu]()
Exploring the mathematics of generative models
Yuchen Wu’s research sits at the intersection of statistics, applied probability, and artificial intelligence, focusing on establishing rigorous foundations for statistical and machine learning methods.
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Designing intelligent systems for smarter supply chains
Linwei Xin’s work combines mathematical rigor, business insight, and curiosity about how artificial intelligence can transform the way goods move around the world.
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![Nikita Doikov]()
Exploring the foundations of optimization in an AI era
Nikita Doikov has a deep interest in the theoretical foundations of optimization and a curiosity about how those foundations shape modern artificial intelligence. His work focuses on designing and understanding optimization algorithms that lie at the core of machine learning systems and large-scale AI models.
