Probabilistic Numerics
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Projects
When Managers Become Robin Hoods: A Mixed Method Investigation
The purpose of this project is to explore when and why managers take steps to informally compensate subordinates whom they deem to have been unfairly treated by senior leaders. These Robin Hood (RH) behaviors are 1) triggered by a...
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Optimization problems arising in intelligent systems are similar to those studied in other fields (such as operations research, control, and computational physics), but they have some prominent features that set them apart, and...
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Solvers for ordinary differential equations (ODEs) belong to the best-studied algorithms of numerical mathematics. An ODE is an implicit statement about the relationship of a curve $x:\mathbb{R}_{\geq 0}\to\mathbb{R}^N$ to...
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Bayesian Optimization is an increasingly popular approach to industrial and scientific prototyping problems. The basic premise in this setting is that one is looking for a location $x$ in some domain where a fitness...
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Linear algebra methods form the basis for the majority of numerical computations. Because of this foundational, ``inner-loop'' role, they have to satisfy strict requirements on computational efficiency and numerical...
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Using Human-in-the-Loop in Hiring
This project aims to investigate the following research question: “What screening process (human only/ AI only/ Human-in-the Loop) yields the best chances for underrepresented groups in hiring?” We conduct a series of online...
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