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).
The 9th Summer Institute for Statistics of Big Data (SISBID) will be held virtually July 24-August 4, 2023. Please check out the modules for more details and
register to join us online.
I am honored to have been elected as Fellow of the Institute for Mathematical Statistics (IMS).
We are starting the new year with 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!
CONGRATULATIONS to three graduating PhD students, Wenyu Chen, Xiudi Li and Kunhui Zhang! Having successfully defended their dissertations, Wenyu and Kunhui are staying local to join Facebook and Amazon, and Xiudi will be moving across the country to do a postdoc at Harvard. What an exciting summer!!
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.