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About ME

RESEARCH EXPERIENCE

Ramanujan Fellow (DST Fellowship) - 2017 - 2022 (IIT Kanpur)
Post-Doc - 2012-2016 (University of California Santa Barbara, USA)

Research Interests -

(1) Regulation of microRNAs (miRNAs) in the brain and,

(2) Role of miRNAs during human brain development.

Ph.D. - 2008-2011 (University of Constance, Germany)

Research Interests - Worked on a ubiquitin-like modifier, FAT10. We investigated how FAT10 and NUB1L (a FAT10-interacting protein) dock to the 26S proteasome to initiate proteolysis.

AWARDS/HONORS

Invited as a Keynote Speaker for the International Brain Research Organization (IBRO) funded workshop held at Sathyabama University, Chennai.
Awarded Ramanujan Fellowship (by Department of Science and Technology)
Awarded Ramalingaswami Fellowship 2016 (by Department of Biotechnology)
Awarded Fellowship by Federation of European Neuroscience Societies (FENS) and Brain Prize to attend Brain Conference 2017 in Denmark.
Research highlighted in Science (22 July 2016, Vol 353, Issue 6297): A long non-coding RNA for neuronal differentiation.
Research on primate lncRNA highlighted in Press (Science Daily, Bioscience Technology, University of California News, UCSB Current, EurekAlert and many more) and preview written by Thomas Pratt and David J. Price (Neuron 2016).
·Selected to attend the prestigious Nobel Laureates Meeting on Physiology and Medicine, Lindau, Germany, 2011.

Editor's Choice - Science Journal

Brain PowerNeuroscience researchers identify a gene critical for human brain development and unravel how it works

Brain power: Gene critical for human brain development identified and workings unravelledCompared to other mammals, humans have the largest cerebral cortex. A sheet of brain cells that folds in on itself multiple times in order to fit inside the skull, the cortex is the seat of higher functions. It is what enables us to process everything we see and hear and think.

Interactions of messenger RNAs and micro-RNAs during brain developmentOne of the big challenges in neurobiology is cell classification, a problem compounded by the fact that the same cell type can look different depending on the method of analysis used to classify it -- whether by cell shape, gene expression profile, electrophysiological firing pattern, or selective vulnerability to certain diseases.

Research Highlight in Science Daily

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