This year, three students received best paper awards in 2025 ASA competitions and will present their work at JSM 2025 topic contributed sessions. CONGRATULATIONS, GUYS!
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).
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.