April 2024: Mandy is teaching longitudinal and Bayesian modeling at the two-week NIH-funded course in Advanced Statistics in Neuroimaging and Genetics at the University of Utah
Spring 2024: Mandy is on sabbatical visiting the Computational Brain Imaging Group at the Center for Sleep and Cognition at the National University of Singapore
July 2023: PhD student Fatma Parlak successfully defends her thesis on robust statistical methods for fMRI. Congratulations, Fatma!!
July 2023: Mandy promoted to Associate Professor with tenure at Indiana University
June 2023: Mandy selected as the global 2023 J&J WiSTEM2D Mathematics Fellow
May 2023: Fatma Parlak named a student paper award finalist for the 2023 New England Statistics Symposium (NESS) in recognition of her work in robust outlier detection for scrubbing in fMRI. Congratulations, Fatma!
April 2023: Mandy named IU Outstanding Junior Faculty https://today.iu.edu/live/news/3155-6-named-outstanding-junior-faculty
March 2023: Damon Pham's paper on data-driven scrubbing in fMRI to remove noise while maximizing signal retention is published in NeuroImage. Congratulations, Damon!
February 2023: Fatma Parlak awarded first place for outstanding graduate student research in physical and mathematical sciences in 2023 IU Women's Poster Competition. Congratulations, Fatma!
January 2023: Our paper on dealing with residual autocorrelation in multiband task fMRI studies is published in Frontiers in Neuroscience
December 2022: Lab postdoc Dan Spencer accepts a position in climate forecasting at Verisk in Boston. We wish you all the best, Dan!
October 2022: Paper with Johns Hopkins collaborators Frederick Barret, Mary Beth Nebel and others on the effects of psilocybin on thalamic organization and connectivity using lab methods is published in Neuroimage
September 2022: Mandy's paper on using cortical surface-based spatial priors to enhance accuracy and power in independent component analysis for fMRI is published in the Journal of Computational and Graphical Statistics
July 2022: Mandy's paper with collaborators Robert Welsh and Vincent Koppelmans examining neurodegeneration in ALS using spatial Bayesian task fMRI modeling is published in NeuroImage
April 2022: Damon Pham’s paper describing the R package ciftiTools, which facilitates analysis and statistical method development for surface/grayordinate neuroimaging data, published in NeuroImage
April 2022: Our paper validating surface-based spatial Bayesian modeling for task fMRI analysis using test-retest data from the Human Connectome Project is published in NeuroImage
May 2021: Mandy and University of Utah site PI Robert Welsh and co-I’s Vincent Koppelmans and Kevin Duff are awarded NIA funding to develop fMRI-based brain biomarkers for Alzheimer’s and MCI
September 2020: After a long team effort, our paper titled “Open Science, Communal Culture, and Women’s Participation in the Movement to Improve Science” has been published in PNAS
June 2020: New preprint describing our work building a spatial Bayesian template ICA model for fMRI analysis. This model provides efficient estimation and powerful inference for subject-level brain networks. “A spatial template independent component analysis model for subject-level brain network estimation and inference“
October 2019: Our new paper on fast, reliable estimation of subject-level brain networks using a hierarchical Bayesian framework with empirical “big data” population priors is now in press in Journal of the American Statistical Association! “Template Independent Component Analysis: Targeted and Reliable Estimation of Subject-level Brain Networks using Big Data Population Priors“
September 2019: New paper in Nature Communications with Jorge Mejia and Franco Pestilli! “Open data on industry payments to healthcare providers reveals potential hidden costs to the public”
June 2019: New paper describing our method for estimating task activation on the cortical surface of the brain using spatial Bayesian modeling with INLA just published in Journal of the American Statistical Association! “A Bayesian General Linear Modeling Approach to Cortical Surface fMRI Data Analysis”
January 2019: Mandy is awarded an NIH grant 1R01EB027119-01 on Bayesian methods for cortical surface neuroimaging data with co-investigators Martin Lindquist and Mary Beth Nebel
December 2018: Mandy is awarded a ASA Biometrics Section JSM 2019 travel award for the paper “A Bayesian General Linear Modeling Approach to Cortical Surface fMRI Data Analysis,” joint work with Ryan Yue, David Bolin, Finn Lindgren and Martin Lindquist
Logo and sticker design by Damon Pham.