- Research Assistant Professor
- rbhaumik [at] uic.edu
- (312) 413-4455
School of Public Health / Psychiatric Institute (SPHPI)
1601 W. Taylor St.
SPHPI MC 912
Chicago IL 60612
- Room #:513
Dr. Bhaumik is a research assistant professor at Biostatistical Research Center, in the Department of Psychiatry. Her research focuses on Longitudinal Data Analysis, Multivariate Statistical analysis, Graph Theory and applications of Machine Learning Algorithms to Neuroscience and other fields.
Before joining UIC, she was an active research member at Data Mining and Predictive Analytics (DaMPA) Center in the Department of Computer Science at DePaul University. She had several years of teaching experience in Computer Science and Data Analysis at DePaul and several other universities.
Multivariate Statistical analysis, Graph Theory, Machine Learning, Neuroscience
Transdiagnostic Brain-Behavior Profiling to Enhance Cognitive Behavioral Therapy Response (PI: Heide Klumpp)
The goal of this study is to employ well-validated paradigms to test emotion-regulating and emotiongenerating in the context of negative stimuli, reward processes, and fear systems in MDD and gSAD to delineate common and disorder-specific mechanisms of change and predictors of CBT outcome. Role: Co-Investigator.
Menstrual cups, maturation of the adolescent vaginal microbiome, and STI/HIV risk (PI : Supriys Mehta)
The goal of this project is to study the mechanisms by which menstrual cup use lead to reduced BV and STIs, and the effect of menstrual cup use on evolution of the adolescent vaginal microbiome. Role: Co-Investigator.
Dimensional RDoC Modeling across the Range of Negative Mood Dysfunction (PI : Scott Langenecker)
The goal of this project is to use advanced modeling and stratification techniques, with our expertise in biostatistics and statistical machine learning, to devise across-diagnosis subgroups that share core dimensions of dysfunction, which will link the neurophysiological abnormalities to disease risk and potentially provide more refined treatment targets. We will pursue, an iterative strategy of (a) cross-modality scale development and consolidation for each subdomain (e.g., PCA, ICA), (b) illness vs well characterization via standard and novel techniques (e.g., support vector), (c) subtyping using scale and disease characteristics for each subdomain (cluster, ICA).
Advancing Clinical Outcomes, Biomarkers and Treatments for Severe TBI (PI: Pape) Source of Support: DoD, U.S. Army Medical Research and Materiel Command, Joint Warfighter Medical Research Program
This umbrella grant includes two research projects. The purpose of Project #1 is to advance the treatment of patients with severe TBI by making outcome assessments more comparable, accurate, and meaningful. This will be achieved by conducting both single and multi-faceted Rasch analyses of 5 widely-used TBI outcome assessments. The purpose of Project #2 is to identify specific miRNA, derived from whole blood and microparticles, associated with recovery from severe TBI with and without rTMS treatment.
Dulal Bhaumik, Fei Jie, Rachel Nordgren, Runa Bhaumik, and Bikas K. Sinha, A mixed-effects model for detecting disrupted connectivities in heterogeneous data, IEEE Transactions on Medical Imaging, 2018 ( in print).
Natania A. Crane, Alvaro Vergés, , Masoud Kamali, Runa Bhaumik, Kelly A. Ryan, David F. Marshall, Erika F. H. Saunders, , Michelle T. Kassel, Anne L. Weldon, Melvin G. McInnis, Scott A. Langenecker, Developing Dimensional, Pandiagnostic Inhibitory Control Constructs With Self-Report and Neuropsychological Data,Assessment (2018), https://doi.org/10.1177/1073191118754704
Pandey GN, Rizavi HS,Bhaumik R, Ren X. Innate immunity in the postmortem brain of depressed and suicide subjects: role of Toll-like receptors. Brain, Behavior and Immunity (under revision), 2018.
Pandey GN, Rizavi HR, Zhang H, Bhaumik R, Ren X. Abnormal protein and mRNA expression of inflammatory cytokines in the prefrontal cortex of depressed and suicide subjects. Journal of Psychiatry and Neuroscience (In Press), 2018.
Runa Bhaumik, Ashish Pradhan, Soptik Das, Dulal K. Bhaumik, Predicting Autism Spectrum Disorder using Domain-Adaptive Cross-Site Evaluation. Neuroinformatics (2018),
Heide Klumpp, Runa Bhaumik , Kerry L. Kinney, Jacklynn M. Fitzgerald, Principal component analysis and neural predictors of emotion regulation, Behavioural Brain Research 338 (2018) 128–133(2017).
Natania A. Crane, Lisanne M. Jenkins, Runa Bhaumik, Catherine Dion, Jennifer R. Gowins, Brian J. Micky, Jon-Kar Zubieta, Scorr A. Langenecker, Multidimensional prediction of treatment response to antidepressants with cognitive control and functional MRI, Brain January 2017 DOI: 10.1093/brain/aww326
R. Bhaumik, J.Gowins, R. Jacobs, L. Jenkins, A. Barba, D. K.Bhaumik, S.A. Langenecker, Multivariate Pattern Analysis Strategies in Detection of Remitted Major Depressive Disorder using Resting State Functional Connectivity, Neuroimage-clinical, 2016.
Hooriyah S. Rizavi, Xinguo Ren , Hui Zhang , Runa Bhaumik, Ghanshyam N. Pandey, Abnormal gene expression of proinflammatory cytokines and their membrane-bound receptors in the lymphocytes of depressed patients, Psychiatry Res. 2016 Apr 22;240:314-320. doi: 10.1016/j.psychres.2016.04.049.
Ghanshyam N. Pandey, Hooriyah S. Rizavi, Hui Zhang, Runa Bhaumik, Xinguo Ren, The Expression of the Suicide-Associated Gene SKA2 Is Decreased in the Prefrontal Cortex of Suicide Victims but Not of Nonsuicidal Patients Feb 2016 · The International Journal of Neuropsychopharmacology
Caveney A, Pandey AS, Langenecker SA, Gabriel L, Ortiz JA, Huq N, Bhaumik R Thompson BG, Giordani BJ, Auer DL, Morgenstern L. Neurocognitive Decline and Recovery in Patients Undergoing Microsurgical vs Endovascular Treatment of Unruptured Intracranial Aneurysms. Neurosurgery. 2015 Aug; 62 Suppl 1:217. doi: 10.1227/01.neu.0000467120.07828.a0
Marc S. Atkins, Elisa S. Shernoff, Stacy L. Frazier, Sonja K. Schoenwald, Elise Cappella, Ane Marinez-Lora, Tara G. Mehta, Davielle Lakind, Runa Bhaumik, Dulal Bhaumik. Re-Designing Community Mental Health Services for Urban Children: Supporting Schooling to Promote Mental Health (JCCP, 2015)
Lambert, B., Bhaumik, R. , Zhao, W., Bhaumik, D. “Detection and Prediction Limits for Identifying Highly Confusable Drug Names from Experimental Data”, Journal of Biopharmaceutical Statistics, 2015
Ren X, Rizavi HS, Khan MA, Bhaumik R., Dwivedi Y, Pandey GN. Alteration of cyclic-AMP response element binding protein in the postmortem brain of subjects with bipolar disorder and schizophrenia. J Affect Disord 152-154:326-33, 2014 [Epub 2013 Oct 5] PMID: 24148789.
Kapur, K.,Bhaumik, R., Tang, X.C., Hur, K., Moritz, T.E., Domenic J. Reda, D.J., and Bhaumik, D.K., ``Sample Size Determination for Longitudinal Binary Data.”, Statistics in Medicine, 2014.
Ghanshyam N. Pandey, Ph.D., Hooriyah S. Rizavi, M.S., Xinguo Ren, M.D., Runa Bhaumik, Ph.D., Yogesh Dwivedi, Ph.D., Toll-like receptors in the depressed and suicide brain,J Psychiatr Res. 2014 Jun;53:62-8. doi: 10.1016/j.jpsychires.2014.01.021. Epub 2014.
D. Bhaumik, K. Kapur, R.Bhaumik and D. Reda, Sample Size Determination for Testing the Mean of a Lognormal Distribution, Journal of Environmental Statistics, 2013.
B. Mobasher, R. Burke, R. Bhaumik and C. Williams. Towards Trustworthy Recommender Systems: An Analysis of Attack Models and Algorithm Robustness. ACM Transactions on Internet Technology, Vol. 7, No. 2, May 2007.
B. Mobasher, R. Burke, R. Bhaumik, and JJ. Sandvig. Attacks and Remedies in Collaborative Recommendation. IEEE Intelligent Systems, Vol. 22, no. 3, pp. 56-63, May/June, 2007
|Expression and Methylation of HPA Axis Genes in Adult Suicide Brain||The goal of this project is to study the expression and methylation of genes related to HPA axis in postmortem brain of adult suicide victims and normal control subjects to determine if abnormalities in the HPA axis genes, of their methylation are associated with suicide.||Mood Disorders and Suicide Research||On-going|
|Feasibility of a Combined Neuromodulation and Yoga Intervention for Veterans with Mild Traumatic Brain Injury and Chronic Pain||VA ORD, RR&D For Veterans with mild TBI and chronic pain, the purpose of this SPiRE project is to develop a novel, combined neuromodulation and yoga neurorehabilitation intervention for Veterans with mTBI and chronic pain, and to examine the intervention’s feasibility and acceptability.||
||Biostatistical Research Program||On-going|
|Menstrual cups, maturation of the adolescent vaginal microbiome, and STI/HIV risk||The goal of this project is to study the mechanisms by which menstrual cup use lead to reduced BV and STIs, and the effect of menstrual cup use on evolution of the adolescent vaginal microbiome.||Biostatistical Research Program||On-going|
|Passive, Mobile Assessment of Sleep, Circadian Timing, and Keyboard Dynamics to Prospectively Predict Depression Severity, Cognition, Emotion Processing, and Emotion Regulation||R21 MH121852-01 This study combines actigraphy with the smartphone app ‘BiAffect’ to understand digital behaviors, sleep, and circadian patterns on cognitive function and emotion processing in individuals with major depressive disorder or insomnia.||Clinical Cognitive Affective Neuroscience Lab||On-going|
|Toll-like Receptors and Cytokines in Depression and Suicide Brain||The goal of this project is to study Toll-like receptors, cytokines and neuroimmune genes in the postmortem brain of normal controls, suicides victims and depressed subjects to determine if abnormalities of the immune function are involved in the pathophysiology of depression and suicide.||Mood Disorders and Suicide Research||On-going|
|Transdiagnostic Brain-Behavior Profiling to Enhance Cognitive Behavioral Therapy||NIMH R01MH112705 Cognitive Behavioral Therapy (CBT) can relieve the suffering and impairment associated with major depressive disorder (MDD) and social anxiety disorder (SAD).||Clinical Cognitive Affective Neuroscience Lab||On-going|
|BDNF-Trk & Cytokines in Patients with Mood Disorders||To study neurobiological abnormalities in blood cells of adult patients with mood disorders. The goal of this project is to study if abnormalities in BDNF-MAP kinase signaling and cytokine levels are related to mood disorders.||Mood Disorders and Suicide Research||Completed|
|PI and Wnt Signaling in Postmortem Brain of Bipolar and Schizophrenia Subjects||The major goal of this project is to study the role PI and Wnt signaling pathways, transcription factors and neurotrophins in postmortem brains of bipolar and schizophrenic patients.||Mood Disorders and Suicide Research||Completed|