As a Research Collaborator with Professor Oshani Seneviratne at Rensselaer Polytechnic Institute, I assisted in the research and development of a trustworthy, accountable data sharing ecosystem for biomedical research. My primary focus is on developing cloud infrastructure to process and analyze data, with the goal of building an underlying collaborator index. I explored tokenomics policies that could be used to incentivize data sharing in research networks.
SCIENCE with Blockchain
This is a research project to develop a trustworthy, accountable, data sharing eco-system for biomedical research that utilizes knowledge representation and blockchain technologies to address the challenge of the costly and time-consuming effort needed to bring a biomedical innovation from the bench (basic research) to bedside (clinical level).
In addition to my work on the infrastructure and tokenomics aspects of the project, I also helped mentor undergraduate students. I provided assistance with research organization, infrastructure development, project implementation, and publication drafting. This allowed me to help guide the next generation of researchers and ensure that they had the skills and knowledge they needed to be successful.
AI and Blockchain, Fall 2022 Presentations & Appearances "Decentralized Applications Augmented with Learning and Semantics" Deakin University, Melbourne Australia; November 2019; Hosted by Dr. Niroshinie Fernando, and Dr. Jong Jeong University of Auckland SoCS Seminar; October 2019; Hosted by Prof. Danielle Lottridge and Prof. Rizwan Asghar " Who? What? When?
The ultimate goal of the SCIENCE project is to design an expressive, provenance-centric language that can be used to facilitate collaborative research efforts. The language, called SCIENCE Capability-based, Intention-centric, Experiment-oriented, Networked Collaborative Expression, is designed to make it easier for researchers to share data and collaborate on projects. Through my contributions, I hope to support the broader aims of the project.