Research
Mathematics for Medicine: Changing Patients’ Lives with Systems Modeling
A team of applied mathematicians at Pfizer worked to understand, model, and react to the COVID-19 pandemic.
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Stochastic rounding is a probabilistic rounding mode that is surprisingly effective in large-scale computations and low-precision arithmetic.
The tragedy of the commons offers a quantitative interpretation of aggregated harvesting behaviors' impact on fish populations.
Nikira Walter discusses her positive experiences in the Enhancing Diversity in Graduate Education Summer Program.
The use of analytics can address poll workers’ specific needs and help to maintain the security and integrity of voting protocols.
Researchers in industry and the national laboratories utilize a wide variety of mathematical tools, leading to numerous opportunities.
Vrushaly Shinglot overviews the path that led to her current position as a circuit simulation engineer at Cadence.
Ernest Davis reviews "Mathematica: A Secret World of Intuition and Curiosity" by David Bessis, translated by Kevin Frey.
At MDS24, Xun Huan introduced a novel form of inverse reinforcement learning to understand the heterogenous behavior of cancer cells.
The EDGE Summer Program prepares women and gender nonconforming individuals for Ph.D. programs in the mathematical sciences.
At MDS24, Rui Hu explored the integration of federated learning, differential privacy, and sparsification to protect sensitive data.
At MDS24, Gyaneshwar Agrahari presented a geospatial network to model and interpret the distribution of electric vehicle charging stations in Texas.
Research
Robotics-assisted Stroke Rehabilitation Device Uses Machine Learning to Classify Residual Severity
At MDS24, Russell Jeter introduced an in-home stroke rehabilitation robotic device that classifies a patient’s level of stroke residual severity.
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