Past Events

Explore our latest events, seminar series and conferences.

Upcoming Past

May

10

2025

CNS Graduation Ceremony (Second Ceremony)

Graduation ceremony for Astronomy, Chemistry, Computer Science, Human Development and Family Sciences, Human Ecology, Mathematics, Nutrition, Physics, Public Health, Statistics and Data Science and Textiles and Apparel majors.

4:00 pm – 6:30 pm In Person

Apr

18

2025

Seminar Series

SDS Seminar Series – Richard Samworth, University of Cambridge

How Should We Do Linear Regression?

2:00 pm – 3:00 pm In Person

Speaker(s): Richard Samworth

Apr

11

2025

Graduate Talks

Ph.D. Program Poster Session

Ph.D. Poster Session

2:00 pm – 3:30 pm In Person

Apr

11

2025

Graduate Talks

Statistics Ph.D. Dissertation Defense - Fuheng Cui

Bayesian Predictive Posterior Distributions

1:00 pm – 3:00 pm In Person

Apr

7

2025

Graduate Talks

Statistics Ph.D. Dissertation Defense - Angela Ting

Bayesian Nonparametric Methods for Heterogeneous Treatment and Mediation Effect Estimation

3:00 pm – 5:00 pm In Person

Apr

3

2025

Graduate Talks

Statistics Ph.D. Dissertation Defense - Rebecca Knowlton

Heterogeneous Surrogate Markers in Clinical Trials and Real-World Settings

2:00 pm – 4:00 pm In Person

Apr

2

2025

Graduate Talks

Statistics Ph.D. Dissertation Defense - Michael Schwob

Bayesian Hierarchical Models for Dependent Ecological Data

1:00 pm – 3:00 pm In Person

Mar

28

2025

Seminar Series

SDS Seminar Series – Po-Ling Loh, University of Cambridge

Differentially Private M-estimation via Noisy Optimization

2:00 pm – 3:00 pm In Person

Speaker(s): Po-Ling Loh

Mar

7

2025

Seminar Series

SDS Seminar Series - Arun Kuchibhotla, Carnegie Mellon University

Adaptive Inference Techniques for Some Irregular Problems

2:00 pm – 3:00 pm In Person

Speaker(s): Arun Kuchibhotla

Nov

22

2024

Graduate Talks

Statistics Ph.D. Dissertation Defense - Brandon Carter

Bayesian Spatial Models for Discrete Data: Methodological Advances with Applications in Urban Sociology

12:00 pm – 2:00 pm In Person