With over 13 years of experience in computational biology, genomics, and bioinformatics, I am passionate about leveraging data-driven approaches to understand complex biological systems and accelerate translational research. I earned my PhD in Bioinformatics from CSIR-IMTECH, where I developed open-source computational tools and machine-learning frameworks for predicting functional non-coding RNAs, establishing a strong foundation in computational method development and biological data analysis.
A major focus of my work is the application of single-cell and spatial genomics technologies to uncover cellular mechanisms underlying human disease. My research combines Immune-oncology with single-cell genomics approaches, with a particular emphasis on understanding tumor ecosystems, immune responses, and cell-state transitions. During my time at Mount Sinai, I contributed to the Human Cell Atlas Program initiative through the development of the First Deep Human Lung Cell Atlas, helping to generate comprehensive cellular maps that have advanced our understanding of lung biology and disease.
At Weill Cornell Medicine, I lead computational analyses for large-scale genomics studies, integrating single-cell transcriptomics, spatial transcriptomics, multi-omics datasets, and computational modeling approaches to identify biologically meaningful patterns and therapeutic opportunities. My work supports translational research programs focused on cancer and neurological diseases, bridging computational and experimental biology to advance precision medicine.
My contributions to the field have been recognized through several honors, including the 2020 BioClues Innovation, Research and Development (BIRD) Award for Bioinformatics, which recognizes outstanding contributions to bioinformatics research, innovation, and scientific advancement. Throughout my career, I have remained committed to developing reproducible analytical frameworks, fostering interdisciplinary collaborations, and translating complex biological data into actionable scientific insights.
Beyond research, I am passionate about mentorship, scientific communication, and promoting open and reproducible science. I enjoy working with trainees and collaborators from diverse backgrounds and helping researchers harness computational approaches to answer challenging biological questions. My broader goal is to bridge computational innovation and biomedical discovery, contributing to the development of more precise and effective approaches for understanding and treating human disease. Outside of science, I enjoy painting, reading fiction, and exploring nature through hikes with my children.