Graduate Students
Graduate students are the engine behind productive research programs at WID and elsewhere. The dozens of graduate students affiliated with WID have elected to make interdisciplinary inquiry a priority in their studies and research.
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Yun-Shiuan (Sean) Chuang
Exploring belief dynamics via computational methods and enhancing the "humanness" of AI models.
Nan (Yifang) Jiang
Functions of human coronaviruses defective genomes on the range and severity of diseases.
Jeremy Johnson
I am interested in the cross-section of algebraic geometry and data science.
Sean Kennedy
My research interests lie in human-facing robust and resilient machine learning, with an emphasis on real world deployability. Previously, I have worked on reinforcement learning for human-AI collaborative mission planning and developing measures for assessing robustness and security of machine learning models under adversarial attack.
Woojin Kim
Integer optimization problems and stochastic optimization problems on various networks
Anna Konstant
Improving the physical ergonomics of manufacturing environments with collaborative robots.
Erika Da-Inn Lee
Developing computational tools to learn the principles of genome organization
