I have joined The Department of Biostatistics at University of Texas MD Anderson Cancer Center as Associate Professor (tenured) from June 2021. I will maintain an Adjunct Associate Professor position at the Department of Biostatistics, Emory University and continue to work with my students and collaborators at Emory.

Our paper titled Integrative Analysis for Population of Dynamic Networks with Covariates (Kundu, Ming, Nocera, and McGregor) was published in NeuroImage ! See here - https://doi.org/10.1016/j.neuroimage.2021.118181

I have been invited to continue in my role as Associate Editor for Biometrics till July 2023 - excited to contribute to this premier journal and the statistical community !

I have officially received my second R01 from National Institutes on Aging (role: MPI along with MPI Dr. Qi Long) titled "Statistical Modeling of Alzheimer's Disease Progression Integrating Brain Imaging and -Omics Data". This is a 5-year award (3/1/2021-2/28/26) develops a suite of statistical methods for modeling disease progression in AD involving longitudinal neuroimaging (MRI) scans and cognitive scores, combined with baseline -omics features and demographic and clinical data. Our integrative longitudinal analysis addresses critical gaps in literature and generates more robust results that are generalizable to more inclusive populations and yields more power in detecting true signals.

My paper Dynamic Brain Functional Networks Guided By Anatomical Knowledge was published in Brain Connectivity. See here: https://www.liebertpub.com/doi/10.1089/brain.2020.0900

My paper on Bayesian Joint Modeling of Multiple Brain Functional Networks, was published in the Journal of the American Statistical Association! See here: https://www.tandfonline.com/doi/abs/10.1080/01621459.2020.1796357?journalCode=uasa20

My paper Scalable Bayesian matrix normal graphical models for brain functional networks was just published in Biometrics! See here: https://doi.org/10.1111/biom.13319

I am pleased to announce that our paper entitled Semi-parametric Bayes Regression with Network Valued Covariates by Ma, X., Kundu, S., and Stevens, J. has been selected to receive the International Biometric Society Eastern North American Region’s (ENAR) Distinguished Student Paper Awards for the 2020 ENAR Spring Meeting in Nashville, TN.

I am humbled to receive the 2019 Young Statistical Scientist Award in the Applications category by International Indian Statistical Association. The yearly award in the Applications category was presented for "outstanding contributions to the development of statistical methods and algorithms for network modeling tools with important applications in neuroscience and cancer studies, and for sustained contributions to research and training of students". The award will be presented at the annual IISA conference in Mumbai, India, Dec 2019. (see here:https://www.intindstat.org/iisaconference2019/)

I just concluded teaching a weekend retreat on meditation and building Academic Resilience at EMORY!

My R01 (Role: PI) titled “Integrative Brain Network-Based Analysis for Heterogeneous and Multimodal Neuroimaging Data" recieved a 10 percentile score in the first submission and has been funded by NIMH! The goal of this study is to develop comprehensive statistical methodology for integrative analysis of multimodal, heterogeneous datasets containing high-dimensional neuroimaging measurements as well as behavioral, clinical, exposure and demographic variables. A key objective is to obtain more accurate solutions by incorporating prior network and biological knowledge while also accounting for heterogeneity via subgroup analysis. The integrative analysis relates to multimodal neuroimaging data and data corresponding to behavioral, clinical, exposure and demographic variables, while the heterogeneity stems from the fact that different individuals responds differently to similar levels of environmental exposure, such as trauma exposure in PTSD studies. Our approaches are motivated by PTSD studies but can be also applied more generally to other mental disorders where it is meaningful to account for heterogeneity and where multimodal neuroimaging data is available. 09/2019-08/2024

I received a travel award for attending the SAMSI workshop Deep Learning Program Opening Workshop to be held in Raliegh from August 12-16, 2019.

I am taking over as the Director for the Data Analysis and Biostatistics core in the Department of Medicine, Emory University. The core provides statistical expertise to investigators in the Department of Medicine for their projects and grants, and employes two MS level statisticians who are supervised by the Director. I thank outgoing Director Dr. Eugene Huang for his tremedous contributions to the core and his excellent service.

I am excited to start my role as Associate Editor for Biometrics starting July 1st, 2019!

Check out my article which was published on a popular science news website ScienceTrends! Thousands of authors have already shared their research on Science Trends and in doing so each article was publicized to over 500,000 people around the world and picked up by Google News and other science news channels:https://sciencetrends.com/the-structure-of-spontaneous-brain-activity/?fbclid=IwAR1m-5Ejy1WHkTYXODaolKLumg1bbGg7bWeLgOlPc7utuYn8LdsjOxaF59o

I am visiting Department of Biostatistics, University of Pennsylvania on Jan 29th to present my research on brain networks!

I am conducting a one hour Seminar 'Finding Peace: An introduction to Meditation' at the Philadelphia College of Osteopathic Medicine - Atlanta Campus at noon on Sept 6th 2018. Open to All!

Georgia Statistics Day, 2018 will be hosted by the University of Georgia on October 26, 2018. Professor David Dunson from Duke University will be the keynote speaker. Please consider attending!

I am visiting VCU on Sept 13-14th 2018 to present my research "Bayesian Matrix Normal Graphical Models for Brain Networks"

I was awarded the GA CTSA BERD funding (Role:PI) for the proposal titled ``Integrative Bayesian Modeling of PTSD severity using brain networks and trauma exposure''

I delivered an Invited Lecture at The 6th Workshop on Biostatistics and Bioinformatics in Atlanta, May 4-6, 2018 organized by Georgia State University.

Stay tuned for my Webinar hosted by the American Statistical Association Georgia Chapter on Dec 1st.

I received Honorable Mention for teaching Bios 707: Advanced Linear Models for year 2016-2017

I will be hosting a session Integrative Analysis of Brain Imaging Studies at ENAR 2018, Atlanta.

We just concluded a fantastic Georgia Statistics Day 2017, hosted at Emory University! GSD is a collaboration between the Statistics community in Georgia and represented by the leading schools Georgia Tech, UGA, and Emory. Several other universities such as Georgia State, Clemson, and others also participated. Dr. Xihong Lin from Harvard was the keynote speaker.

Check out the latest article on my colleague Dr. Ying Guo - http://news.emory.edu/stories/2017/05/hspub_mental_disorders_with_math/campus.html

See this interesting note on prewhitening fMRI time series by Amanda Mejia-https://mandymejia.wordpress.com/