Transforming Health Data into Better Healthcare.
Our vision is to solve complex health problems using data-driven approaches while empowering a new generation of health data scientists. Students will work collaboratively in interdisciplinary teams with internationally acclaimed scientists and use existing data to make impactful contributions to the field.
OSDDIN is a first step towards this vision — turning open biomedical data into a foundation the global research community can build on.
A unified ecosystem for open drug discovery.
OSDDIN is a web-based platform, born out of this initiative, delivering curated biomedical data from hundreds of sources as a biomedical knowledge graph for open-source drug discovery. Backed by persistent GitHub & Zenodo repositories, we ensure long-term, standalone access to datasets, databases and software for the global research community.
A Non-Profit Initiative
Transforming health data science through innovative analytics research.
The exponential growth of health data — electronic health records, wearable devices, genomic sequencing, and digital health technologies generates vast data daily. While this holds the potential to revolutionise personalised medicine and improve patient outcomes, managing and analysing it effectively remains a significant challenge.
Addressing the data deluge requires coordinated efforts in data governance, advanced analytics, machine learning, and scalable infrastructure for storage, processing, and secure sharing of health data.
What we set out to achieve.
01
Solving Real-World Problems & Need-Based Research
Apply data science to real health challenges through long-term, standalone, community-driven software.
02
Learning while Training · Human Resource Development
Hands-on training on cutting-edge health data analytics — producing developers, not just customers.
03
Interdisciplinary Collaboration
Diverse disciplines tackling health challenges together across biology, clinic, and data science.
04
Innovative Projects & Computational Resources
High-risk, open-source projects on open infrastructure built for the global research community.
05
Dissemination & Open Source Promotion
Open-access publication, community channels, and freely accessible cheminformatics & pharmacoinformatics.
06
IP & Commercialization
Patents and partnerships with industry leaders to translate research into impact.
The core team behind Health Data Science Academy.
Prof. Samir Brahmachari
CORE TEAM
Dr. Gyan Srivastava
CORE TEAM
Prof. Vijay Tiwari
CORE TEAM
Associate Members.
Jitendra Badhai
ASSOCIATE MEMBER
Programme Structure
How the Academy is organised.
Guided by an international advisory board and a local leadership team of leading experts in Biology, Clinic, and Data Science we are committed to making data-driven healthcare a reality for all.