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News

Women in Stat Panel
Women in Statistics + Data Science panelists share career experiences and advice with students
 What does a career in statistics and data science look like, and how do you find your place in a field that continues to evolve? Those questions were at the center of the fourth annual Department of Statistics' Women in Statistics + Data Science event on Monday, October 26, at the Illini...
Kaytlin Hoey
Stat Ambassadors Blog: Study Tips, Academic Resources, and Productivity Tools
As a student, it is often overwhelming to balance multiple courses, assignments, exams, extracurriculars, social life, and taking care of yourself. I’ve found that the best way to find balance between all these is to try and break infinite tasks, such as studying, into finite, bite sized tasks in...
Lelys Bravo
Lelys Bravo de Guenni’s Global Classrooms Proposal approved for Spring 2027
 Lelys Bravo de Guenni, clinical associate professor in the Department of Statistics at the University of Illinois Urbana-Champaign, has received approval from the College of Liberal Arts and Sciences for a Global Classrooms initiative launching in Spring 2027.The project will connect students...
Ruoqi Yu
Ruoqi Yu receives Campus Research Board Funding and Arnold O. Beckman Award
 Ruoqi Yu, assistant professor in the Department of Statistics at the University of Illinois Urbana-Champaign, has been selected for funding by the Campus Research Board through the Office of the Vice Chancellor for Research & Innovation. Her project, “Design Before Analysis:...
Alexandra Chronopoulou
Alexandra Chronopoulou named Alma Project Senior Faculty Fellow
 Alexandra Chronopoulou, clinical associate professor of Statistics at the University of Illinois Urbana-Champaign, has been selected as one of three inaugural Senior Faculty Fellows for the Alma Project, a campus initiative focused on promoting neighborliness and a sense of purpose through...

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Boyi Guo
Alumni Spotlight

Boyi Guo (BS '14, MS '17) - Postdoctoral Fellow, Johns Hopkins Bloomberg School of Public Health

I am a statistically trained biomedical data scientist who develops statistically rigorous and computationally scalable machine-learning methods and open-source software to integratively analyze population-scale multi-omics data, working in the intersection of population health and genomics study. What is your favorite part about your current occupation/position? I work in an interdisciplinary research team that consists of scientists with diverse expertise, including neuroscience, brain anatomy, molecular biology, behavioral science, and quantitive analysis. There’s always...
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