Research Interests:
He is passionate about leveraging multi-omic and transcriptomic data with machine learning and artificial intelligence to decode RNA regulatory mechanisms in neurological disorders such as ALS and Alzheimer’s disease. His work focuses on RNA biology—including differential gene expression, cryptic splicing, alternative polyadenylation, and MeCP2-mediated regulation—with particular interest in investigating how disrupted RNA processing and translation contribute to disease progression. He aims to uncover transcriptomic signatures for prognosis and RNA-based therapies.
Education and training:
He completed his Bachelor’s in Bioinformatics at Acharya Nagarjuna University, Andhra Pradesh, India, in 2011, and his Master’s in Bioinformatics at Amrita Vishwa Vidyapeetham, Kerala, India, in 2013. He earned his Ph.D. in Computational Biology and Bioinformatics from VIT University, Vellore, Tamil Nadu, in 2021, where his research focused on cancer, drug discovery, systems biology, and next-generation sequencing (NGS). From 2021 to 2024, he served as Assistant Professor in Bioinformatics at REVA University, Bengaluru, where he taught bioinformatics, life sciences, and programming (R, Perl, Python) and conducted research in transcriptomics, genomics, machine learning, and computational biology. Currently, he is a Postdoctoral Fellow at the Yalamanchali Lab, Neurological Research Institute, Baylor College of Medicine, under the mentorship of Dr. Hari Krishna Yalamanchali. In this role, he focuses on neurological diseases, utilizing techniques such as transcriptomics, PAC-seq, and clustering, with the goal of decoding the biological phenomena underlying rare diseases.