The 10th Summer Institute for Statistics of Big Data (SISBID) will be held virtually Aug 12-August 23, 2024. Please check out the modules for more details and
register to join us online.
Excited to start working on a new NIH U01 grant titled Statistical Methods for Inferring Gene-Phenotype Associations Using Omic Data from Gene Knockout and Human Phenotype Studies in collaboration with FHCC colleagues, Wei Sun and Li Hsu.
CONGRATULATIONS to Si Cheng for successfully defending her PhD dissertations. Nice job, Dr. Cheng!
CONGRATULATIONS to Si Cheng for having her paper, A Penalized Poisson Likelihood Approach to High-Dimensional Semi-Parametric Inference for Doubly-Stochastic Point Processes, selected for a honorable mention award
by the International Chinese Statistical Association (ICSA).
I am honored to have been elected as Fellow of the Institute for Mathematical Statistics (IMS).
We have two new papers on causal discovery (both joint work with Mathias Drton):
- Wenyu Chen's paper, Causal structure learning via local graphs has been accepted in the SIAM Journal on Mathematics of Data Science (SIMODS). The paper proposes an efficient causal structure learning in the presence of unmeasured variables by leveraging the local separation property of large (random) networks.
- Shiqing Yu's paper, Directed graphical models and causal discovery for zero-inflated data has been accepted for an oral presentation in the Causal Learning and Reasoning (CLeaR) Conference (9% acceptance). The paper establishes the identifiability of causal relations for a flexible class of models for zero-inflated data and develops algorithms for learning the graph from observational data.
I'm excited to start working on a new NIH XAI grant titled Explainable Machine Learning to Guide Prefrontal Brain Stimulation in collaboration with UW colleagues, Zaid Harchaoui, Azadeh Yazdan and Eric Shea-Brown. This project combines statistical learning and applied math with neurobiology and bioengineering to help understand how the brain’s rich internal dynamics can be harnessed to steer its plasticity. We'll have lots of interesting data to solve really cool statistical problems!
I am honored to have been elected as Fellow of the American Statistical Association (ASA).
Congratulations to all my fellow ASA fellows!
I am honored to receive the 2022 Leo Breiman Award from the American Statistical Association (ASA) Section on Statistical Learning and Data Science (SLDS). This award reflects the excellent work by my amazing team and would not have been possible without the guiadance of my mentors and collaborators over the years.
The newest version of the netgsa package offers considerable speedups and interactive network visualization. Check out the accompanying paper published in PLoS Comp Bio for details and the vignette for examples.