Vikas Bansal
Central Institute of Mental Health, Massachusetts Institute of Technology, Freie Universität Berlin, Kings College London, German Center for Neurodegenerative Diseases, Panjab University
About
Personal Website: https://vikas-bansal.com/
I am interested in producing, integrating and discovering patterns in large multi-omics datasets to extend the understanding of transcriptional and post-transcriptional regulatory mechanisms in human disorders. Integration of different sequencing data types provides an opportunity to investigate biological pathways at multiple layers like genotype, chromatin and transcript levels. We use iPSCs, human tissues and mouse models to generate cell-type specific multi-omics data (e.g. spatial transcriptomics, scRNA-seq and scATAC-seq) to better understand diseases.
Employment
-
Central Institute of Mental Health Senior Scientist2025 - Present
-
Massachusetts Institute of Technology Visiting Scientist2023 - Present
-
German Center for Neurodegenerative Diseases Career Development Fellow & Group Leader2019 - 2024
-
Universitätsklinikum Hamburg-Eppendorf Postdoctoral researcher2017 - 2019
-
German Center for Neurodegenerative Diseases (DZNE) Postdoctoral researcher2016 - 2017
-
Max Planck Institute for Experimental Medicine Postdoctoral researcher2016 - 2017
-
Max Delbrück Center for Molecular Medicine (MDC) and the Charité Medical Faculty Marie Curie PhD fellowship - Early Stage Researcher2012 - 2015
-
Max Planck Institute for Molecular Genetics Bioinformatician2011 - 2012
Education
-
Freie Universität Berlin Ph.D. Bioinformatics2012 - 2016
-
Kings College London M.Sc. Bioinformatics2010 - 2011
-
Panjab University B.Sc. Bioinformatics2007 - 2010
Projects & Funding
Projects & funding information is unavailable.
Publications (29)
- Transcriptomic changes in oligodendrocytes and precursor cells associate with clinical outcomes of Parkinson’s disease Save
- Transcriptomic changes in oligodendrocytes and precursor cells predicts clinical outcomes of Parkinson’s disease Save
- SARS-CoV-2 infection activates endogenous retroviruses of the LTR69 subfamily Save
- The Foundational Data Initiative for Parkinson Disease: Enabling efficient translation from genetic maps to mechanism Save
- Medin co-aggregates with vascular amyloid-β in Alzheimer’s disease Save
- Transcription start site signal profiling improves transposable element RNA expression analysis at locus-level Save
- A Novel Gene Controls a New Structure: PiggyBac Transposable Element-Derived 1, Unique to Mammals, Controls Mammal-Specific Neuronal Paraspeckles Save
- Distinct translatome changes in specific neural populations precede electroencephalographic changes in prion-infected mice Save
- Mitochondrial and autophagy-lysosomal pathway polygenic risk scores predict Parkinson's disease Save
- Correction for Rando et al., “Pathogenesis, Symptomatology, and Transmission of SARS-CoV-2 through Analysis of Viral Genomics and Structure” Save