I am a passionate and creative bioinformatician, data scientist and AI enthusiast, currently diving deep into the world of bioinformatics, machine learing, and deep learning. With a solid academic foundation, global hands-on experience, and commitment to solve complex biological problems, I have a thirst to learn more and do miracles in the field of Bioinformatics.

• MSc in Applied Bioinformatics, Cranfield University, United Kindom (2022-23)

• B.Tech in Bioengineering, VIT Bhopal University, India (2018-22)

• Research Associate (AI/ML & Bioinformatics), National University of Singapore, Singapore (Present)

• Contribute to multiple collaborative projects at the Electron Microscopy Department using AI/ML and deep learning techniques to analyze Electron Microscopy-generated images. 🔬🦠
• Involved in bioinformatics research within the Department of Microbiology and Immunology, focusing on the differentiation of erythroleukemic cell lines under various conditions, with the goal of advancing our understanding of cell development and disease mechanisms 🧬💻.

• Research Assistant (Bioiformatics), Cranfield University, United Kingdom (October 2023 - February 2024)

• Contributed to EU Horizon2020 Project Nutrisheild “Fact-based personalised nutrition for the young Grant Agreement ID: 818110” (https://nutrishield-project.eu). 🇪🇺
• Involved in WGS analysis for Mothers and their term & preterm babies, and development of PRS models to assess corresponding risk associated with several comorbidities. 🧑‍🧒🧬📈

• Research Intern (Bioinformatics), National University of Singapore (Remote; May 2023 - September 2023)

• Part of master’s thesis for MSc Applied Bioinformatics course at Cranfield University. 📚
• Performed comparative analysis between in vitro erythroleukemic Bulk RNA-Seq data and Single Cell RNA-Seq data of in vivo bone marrow CD34+ hematopoietic stem cells (HSCs) to identify key genes responsible for enucleation. 🧬👨🏻‍💻