I've a 13-year background in computational biology and bioinformatics. My professional / research journey has been marked to unravel the intricacies of molecular signatures and processes in humans and microbes.

Currently specializing in precision and systems medicine, my focus centers on multiple myeloma and other cancer types. By utilization of multiomics (genomics, transcriptomics, proteomics and metabolomics) and clinical datasets, I tend to delineate cellular signatures and pathways associated with cancer, contributing to the biomarker discovery, and thereby attributing towards the cancer treatment.

My prior research has delved into diverse health conditions, including Diabetes (Type 1 & 2), Non-Alcoholic Fatty Liver Disease (NAFLD), Obesity, and Cardiovascular disease (Atherosclerosis). The overarching objective of my work is to identify molecular markers that serve as key insights into disease mechanisms and underlying pathways. Thereby, aim to formulate innovative drugs, inhibitors, and therapeutic strategies.

In addition to my proficiency in mathematical, statistical modeling and data science, I am an accomplished computer programmer; well-versed in machine learning. My passion lies in harnessing large datasets to design tools and methods that address contemporary challenges in healthcare, as well as cell and tissue biology.

I am confident that with my expertise, we can achieve significant breakthroughs in understanding and treating diseases that have hitherto posed significant challenges.