My lab develops computationally efficient Bayesian statistical models for complex genomic datasets at bulk, single cell and spatial resolutions. I specialize in scalable methods for integrating multi-omic data to understand the regulatory mechanisms underlying human traits and diseases. A central theme of my work is investigating how disease mechanisms vary across individuals, age and sex, revealing insights into disease etiology and progression. These findings inform the design of personalized medical interventions with the potential to transform patient outcomes.
My research interests include:
Bayesian Statistics
Machine Learning
Computational Biology
E Saha, M Ben Guebila, V Fanfani, KH Shutta, DL DeMeo, ...
npj Aging 11 (1), 61
SEAHORSE: A Serendipity Engine Assaying Heterogeneous Omics-Related Sampling Experiments
A Quackenbush, J Kolluri, R Biju, S Nhong, D DeConti, J Quackenbush, ...
bioRxiv, 2025.08. 15.670514
Sex-biased regulation of extracellular matrix genes in chronic obstructive pulmonary disease
CM Lopes-Ramos, KH Shutta, MH Ryu, Y Huang, E Saha, J Ziniti, ...
American Journal of Respiratory Cell and Molecular Biology 72 (1), 72-81
P Olejua, E Saha, R Ghosal, R Bai, A McLain
C Chen, E Saha, J Fischer, M Ben Guebila, V Fanfani, K Shutta, M Padi, ...
Biology of Sex Differences 16 (1), 1-17
Reproducible processing of TCGA regulatory networks
V Fanfani, KH Shutta, P Mandros, J Fischer, E Saha, S Micheletti, C Chen, ...
GigaScience (in Press) bioRxiv, 2024.11. 05.622163
Variable Selection for Fixed and Random Effects in Multilevel Functional Mixed Effects Models
R Ghosal, M Matabuena, E Saha
arXiv preprint arXiv:2505.05416
Bayesian inference of sample-specific coexpression networks
E Saha, V Fanfani, P Mandros, MB Guebila, J Fischer, KH Shutta, ...
Genome Research, gr. 279117.124
Gene regulatory networks reveal sex difference in lung adenocarcinoma
E Saha, M Ben Guebila, V Fanfani, J Fischer, KH Shutta, P Mandros, ...
Biology of Sex Differences 15 (1), 62
SE Cho, E Saha, M Matabuena, J Wei, R Ghosal
Annals of Epidemiology 99, 24-31
P Mandros, I Gallagher, V Fanfani, C Chen, J Fischer, A Ismail, L Hsu, ...
bioRxiv
BONOBO: Bayesian Optimized Sample-Specific Networks Obtained by Omics Data
E Saha, V Fanfani, P Mandros, M Ben-Guebila, J Fischer, KH Shutta, ...
International Conference on Research in Computational Molecular Biology, 328-331
C Chen, E Saha, DL DeMeo, J Quackenbush, CM Lopes-Ramos
Cancer Research 84 (6_Supplement), 3490-3490
J Fischer, KH Shutta, C Chen, V Fanfani, E Saha, P Mandros, ...
bioRxiv, 2024.09. 19.613876
E Saha, R Ghosal
Annals of Epidemiology 86, 110-118. e4
Theory of posterior concentration for generalized Bayesian additive regression trees
E Saha
arXiv preprint arXiv:2304.12505
The Network Zoo: a multilingual package for the inference and analysis of gene regulatory networks
M Ben Guebila, T Wang, CM Lopes-Ramos, V Fanfani, D Weighill, ...
Genome Biology 24 (1), 45
Impact of the COVID-19 induced lockdown measures on PM2. 5 concentration in USA
R Ghosal, E Saha
Atmospheric Environment 254, 118388
Flexible Bayesian Methods for High Dimensional Data
E Saha
The University of Chicago
V Ročková, E Saha
The 22nd international conference on artificial intelligence and statistics …
Dynamic sparse factor analysis
K McAlinn, V Rocková, E Saha
arXiv preprint arXiv:1812.04187
Some high-dimensional one-sample tests based on functions of interpoint distances
E Saha, S Sarkar, AK Ghosh
Journal of Multivariate Analysis 161, 83-95
E Saha, A Hazra, P Banik
Mausam 67 (4), 841-848