MFK
Dr. Mohd Faheem Khan, PhDFounder
AI & Machine Learning • Biotechnology • Bioinformatics
Global • Multidisciplinary • Discovery-led
Where disciplines converge to create new scientific discoveries.
GDR turns important unanswered questions into structured multidisciplinary research programs. We identify the gap, map the expertise required, recruit international collaborators, and support rigorous research from concept to validation and impact.
12+scientific domains
Globalcollaboration model
Question-firstdiscovery workflow
GDR Scientific Discovery NetworkFounding Platform • 2026
AI / MLScientific intelligence
BioinformaticsOmics & systems biology
Plant ScienceBiology & agriculture
Drug DiscoveryTargets & therapeutics
Health DataInformatics & epidemiology
ExperimentalValidation laboratories
KA
Dr. Khurshid Ahmad, PhDCo-Founder
Drug Discovery • Health Informatics • Bioinformatics
Scientific integrityInternational collaborationTransparent contributionsReproducibilityResponsible AI
01Identifythe scientific gap
02Integratemultiple disciplines
03Recruitspecialized collaborators
04Validatewith rigorous methods
05Translateinto scientific impact
The GDR proposition
A global research platform built around unanswered questions — not disciplinary boundaries.
Important discoveries increasingly require complementary expertise that no single laboratory or discipline can provide alone.
GDR is designed to transform a scientifically defensible research gap into a multidisciplinary Discovery Challenge. The platform maps the specialists, methods, datasets, technologies and validation capabilities required, then brings them together in a structured international research program.
Question-firstThe problem determines the team and methodology.
Evidence-ledNovelty is assessed against existing knowledge before a public call.
Contribution-basedScientific roles, responsibilities and outputs reflect actual work.
Flagship program
GDR Discovery Challenges
High-value multidisciplinary research opportunities built around explicit knowledge gaps and defined expertise requirements.
Loading discovery challenges…
Discovery network architecture
Connect the right specialist to the right scientific problem.
Every project should deliberately combine complementary scientific capabilities rather than assemble collaborators without a defined methodological role.
Scientific Gap Mapping
Classify what is unknown, contradictory, under-tested, geographically limited, technologically constrained or not independently validated.
Multidisciplinary Expertise Map
Identify required disciplines, techniques, infrastructure, computational methods, datasets and experimental capabilities.
International Collaborator Recruitment
Advertise defined scientific roles and evaluate researchers according to specialization, methodology and proposed contribution.
Structured Research Development
Move from hypothesis to protocol, ethics, data governance, statistical analysis plan and reproducibility framework.
Cross-Disciplinary Validation
Integrate computational, experimental, clinical, field or molecular evidence as appropriate to the research question.
Outputs & Translation
Prepare reproducible manuscripts, datasets, software, methods, patents or translational outputs after appropriate scientific review.
Scientific scope
One network. Many scientific languages.
GDR is intentionally broader than health analytics and is designed to support multidisciplinary research across the life and quantitative sciences.
AI & Machine Learning
Prediction, multimodal modelling and scientific intelligence.
Bioinformatics
Genomics, systems biology and omics integration.
Biotechnology
Molecular, cellular and translational biotechnology.
Drug Discovery
Targets, molecular modelling, screening and validation.
Health Informatics
Clinical data, epidemiology, digital health and decision support.
Plant & Agricultural Science
Plant biology, crops, climate and agricultural systems.
Microbiology & Microbiome
Microbial systems and host-environment interactions.
Biochemistry & Metabolomics
Pathways, metabolites, proteins and mechanisms.
Zoology & One Health
Animal biology, veterinary and cross-species research.
Environment & Ecology
Biodiversity, pollution and climate-linked biology.
Molecular & Cancer Biology
Mechanisms, biomarkers and experimental disease models.
Biostatistics & Data Science
Study design, modelling, causal analysis and reproducibility.
Founding leadership
Scientific leadership spanning computational biology, biotechnology, health informatics and drug discovery.
Founder
Dr. Mohd Faheem Khan, PhD
Expertise in Artificial Intelligence & Machine Learning, Biotechnology and Bioinformatics. Founding focus: multidisciplinary research architecture, computational discovery and global scientific collaboration.
Co-Founder
Dr. Khurshid Ahmad, PhD
Expertise in Drug Discovery, Health Informatics and Bioinformatics. Founding focus: therapeutic discovery, biomedical informatics and multidisciplinary research translation.
Operational platform
From public idea to managed scientific project.
GDR already includes a Researcher Portal, Founder/Admin scientific operations dashboard and project workspace architecture.
01Research Idea IntakeLive MVP
02Scientific ScreeningLive MVP
03Researcher ProfilesLive MVP
04Discovery Challenge RecruitmentLive MVP
05Project Workspace & MilestonesLive MVP
06Shared Database & AuthenticationNext
Start a discovery
Bring GDR an important scientific question.
Describe the unresolved gap and explain why multiple disciplines are required. The current GitHub Pages MVP stores drafts locally; centralized scientific review activates with the shared backend.
1Define the unresolved scientific problem
2Explain the multidisciplinary requirement
3Prepare the idea for GDR scientific screening