Contact
I welcome focused conversations where geoscience, data, and a real scientific or exploration decision intersect.
I am particularly interested in technically serious work involving mineral exploration, mineral geochemistry, GeoAI, geochemical anomaly intelligence, prospectivity, remote sensing, spatial uncertainty, scientific ML, reproducible benchmarking, and research collaboration.
amar_geologist@yahoo.com
For the fastest useful response, include enough technical context for me to understand the problem rather than sending only a general request to collaborate.
Research collaboration
Suitable topics include:
- mineral geochemistry and metallogenic discrimination;
- sulfide trace-element and isotope datasets;
- GeoAI methodology and validation;
- mineral prospectivity and multimodal evidence integration;
- geochemical anomaly detection and spatial confidence;
- geostatistics and uncertainty analysis;
- reproducible benchmarks, external validation, or prospective testing;
- collaborative manuscripts or research-method development.
A useful first message should state the research question, geological setting, available data, expected scientific contribution, authorship/publication expectations, and any timing constraints.
Applied / exploration work
I am open to selected conversations involving:
- exploration-data review and technical problem definition;
- geochemical anomaly and target-ranking methodology;
- prospectivity and remote-sensing workflow design;
- spatial validation and uncertainty;
- independent technical benchmarking;
- GeoAI research-to-product design;
- reproducibility, QA, and model-governance review.
For applied work, please include the commodity or mineral system, geographic scale, data types, current decision/blocker, expected deliverable, confidentiality/IP constraints, and desired timeline.
Professional opportunities
I am also open to relevant research, senior GeoAI/geoscience, advisory, collaborative, or technical opportunities where my combined background in economic geology, geochemistry, spatial data science, and AI/ML is directly useful.
Please use LinkedIn or email and include enough information about the role, project, organization, location/remote structure, and expected scope to assess fit.
Confidentiality & IP
Please do not send confidential datasets, unpublished target coordinates, proprietary code, passwords, credentials, or other restricted information in an initial message. We can establish an appropriate collaboration or confidentiality framework before exchanging protected material.
Professional profiles
- GitHub — public research repositories and released technical work
- Google Scholar — publication record
- LinkedIn — professional profile and messaging
- AIMEX Lab — independent GeoAI research initiative
Location & collaboration
I am based in Jeddah, Saudi Arabia and routinely work across international time zones, including collaboration with Australian and global research/exploration teams.