UCL Statistical Science PhD seminars

The Statistical Science PhD seminars give internal and external PhD students an opportunity to present their work to the department. PhD students in the department typically present their work at key milestones of their degree, primarily once they have upgraded from MPhil to PhD status.

The seminars are open to PhD students, staff, MSc students and 3rd & 4th year undergraduates. Talks are typically pitched at a fairly accessible level and are an excellent opportunity to connect with the research being done in the department.

The seminars are co-organised by
Luke Hardcastle, luke.hardcastle.20@ucl.ac.uk
Leandra Brauninger, l.brauninger@ucl.ac.uk

(All locations are in 1-19 Torrington Place unless stated otherwise, all speakers are from UCL Statistical Science unless stated otherwise)

Seminars 2024

December

05/12/2024, 3pm, B07 - Evangelos Dimitriou, Data Fusion For Heterogeneous Treatment Effect Estimation With Multi-Task Gaussian Processes

November

21/11/2024, 3pm, B07 - Anqi Sui, TBA

07/11/2024, 3pm, B09 - Haoxiang Gao, TBA

October

31/10/2024, 3pm, B07 - Vik Shirvaikar (University of Oxford), The predictive approach to uncertainty quantification

24/10/2024, 3pm, B07 - Chengyang Gao, TBA

10/10/2024, 3pm, Room 03, 188 Tottenham Court Road - Hai Wang, Text-Driven Omnidirectional Image Creation and Manipulation with Latent Diffusion Models

June

Rescheduled 19/06/2024, 3pm, B09 - Ali Septiandri, Handling Missing Values in Critical Care Medicine

14/06/2024, 2pm, B09 - Emily Alger (Institute of Cancer Research), Advanced Bayesian dose-finding adaptive designs for assessment of joint outcomes

May

31/05/2024, 2pm, Room 115 - Tor Erland Fjelde (University of Cambridge), Turing.jl: a probabilistic programming language for practioners and researchers

22/05/2024, 2pm, B09 - Kai Teh, Relaxing the faithfulness assumption in causal inference.

17/05/2024, 2pm, Room 115 - Jennifer Astley (University of Oxford), Single-cell eQTL mapping identifies cell type and disease-specific genetic control of COVID-19 severity

10/05/2024, 3pm, B09 - Matias Altamirano Montero, Robust and Scalable Bayesian Inference

03/05/2024, 2pm, Room 115 - Gerardo Durán-Martín (Queen Mary University), Outlier-robust Kalman Filtering through Generalised Bayes

April

March

11/03/2024, 3pm, B08 - Ilse Cuevas Andrade, Extending the natural history model for the natural history of prostate cancer; using data from a screening trial.

01/03/2024 - Yiyong Luo, Econometric Modelling with High Dimensional Data

February

21/02/2024 - James Briant, Bayesian Calibration of Computer Models

09/02/2024 - Sokhna-Diarra Mbacke (Université Laval), Theoretical guarantees for Deep Generative Models: A PAC-Bayesian Approach

January

31/01/2024 - Luke Hardcastle, Piecewise Determinstic Markov Process for Bayesian Model Averaging in Polyhazard models

19/01/2024 - Ilina Yozova, Bayesian Causal Forests Combining Randomised And Observational Data For Heterogeneous Treatment Effects Estimation

12/01/2024 - Zejing Shao, Analyzing the Mental Health Impact of Universal Credit Implementation: A Bayesian Difference-in-Differences Framework with Multilevel Regression and Poststratification