Chakit Arora

Background

About Chakit Arora

Bioinformatician | Computational Biologist | Machine Learning Enthusiast (5+ years) With a PhD in Computational Biology from I specialize in leveraging advanced machine learning/data-science techniques and bioinformatics to unravel complex biological systems such as Cancer to delineate oncogenic processes at a mechanistic level. Currently, I am a Post-Doctoral Research Fellow at the Bioinformatics Group, BIO@SNS, Scuola Normale Superiore, Pisa, Italy, where I am engaged in the project aimed at decoding and recoding onco-GPCR signaling through integrative bioinformatics and protein engineering. My journey began with a robust foundation in Physics (MSc, University of Delhi) and Electronics (BSc, University of Delhi), which paved the 'multidisciplinary' way for my transition into computational biology. My doctoral research was primarily focused on cancer prognosis and biomarker identification. At Biotix Pte Ltd, Singapore, I worked closely with the AI team to integrate diverse and complex data types, translating transcriptomic and genetic signals into innovative treatments for unmet medical needs. I have also contributed to various educational roles as a Graduate Teaching Assistant at teaching critical subjects like Mathematical Biology, Systems Biology, and Big Data Mining in Healthcare. My research (14+ papers) has been published in several esteemed journals, showcasing my expertise in cancer-informatics. I am proficient in multiple programming languages (Python, R, MATLAB, C) and bioinformatics tools, and have a strong command of data science and machine learning technologies. I am passionate about using computational methods to drive advancements in healthcare and am always looking for collaborative opportunities to push the boundaries of bioinformatics and systems biology.