Ankush Bansal
Uncovering brain complexity, cancer research & improving patient care through deep learning, multi-omics analysis, biomarker discovery, & computational modeling
- Role
- Research Associate at Children\'s National Hospital
- Location
- Washington, DC, US
- LinkedIn followers
- 500 followers
About Ankush Bansal
As a Computational Neuroscientist at Children\'s National Hospital in Washington DC, USA, I leverage advanced data analysis methods to uncover insights into the complex functioning of the brain. My work involves applying deep learning algorithms to imaging and single-cell sequencing data, identifying patterns and relationships that may not be apparent through traditional biological approaches.My journey includes roles as a Senior Research Fellow, where I employed multi-omics analysis to identify novel secondary metabolism pathways in Himalayan medicinal plants. During my doctoral studies, I collaborated with the Complex Systems Lab at IIT Indore, applying network theories from physics to develop mathematical models for complex biological data.Previously, as an Associate Biomodeling Scientist at Cellworks Research India Pvt. Ltd, I developed computational cancer models using kinetic and ordinary differential equations. These innovative bio-models are currently informing cancer patient therapies.With a strong foundation in data-driven approaches and a passion for advancing healthcare outcomes, I am dedicated to pushing the boundaries of our understanding of biological systems. My expertise spans computational neuroscience, bioinformatics, and the application of machine learning in biological research.
Experience
Research Associate
Sep 2020 — Present · Washington, DC, US
Implement machine learning and deep learning algorithms on sequencing and imaging datasets to uncover biological insightsDevelop innovative computational methods for analyzing multi-omics data, leading to the identification of novel biomarkers and therapeutic targetsCollaborate with a multidisciplinary team of scientists and clinicians to translate research findings into improved patient carePublish high-impact research papers in peer-reviewed journals and present findings at national and international conferences
Education
Jaypee University of Information Technology
B.Tech. , Bioinformatics
2009 — 2013
Jaypee University of Information Technology
Ph.D., Bioinformatics
2015 — 2018
Bioinformatics Institute of India
Industry Program, Drug Designing and Patenting
2011 — 2012
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