What progress have you made since your last update?
Since the last update, I have completed the BLAM Liberia seed pilot and produced the main project report. The project helped turn a broad problem - Liberia’s weak biosafety and biosecurity capacity identified in the 2023 JEE into a more practical assessment framework. I developed and piloted the Biosafety and Biosecurity Landscape Assessment Matrix (BLAM) to look at concrete laboratory-system gaps, including incident reporting, pathogen accountability, waste management, equipment maintenance, specimen referral, training, and governance.
The pilot confirmed that the problem is real, but also more nuanced than “lack of resources.” Liberia has strong public health leadership, committed laboratory staff, and useful institutional networks. The bigger challenge is converting those strengths into routine systems: clear standards, regular supervision, maintenance, reporting, and follow up.
The main output is now a BLAM scoping report and a clearer pathway for future work. The pilot also helped me refine the project direction. I now see BLAM not only as a biosafety assessment tool, but as a platform that can later be extended to test whether fragile laboratory systems are ready to use AI safely in biological work.
What are your next steps?
My next step is to use the pilot report to seek follow-on support for a focused scale-up phase. The immediate plan is to refine BLAM into a cleaner, easier-to-use tool with a scoring guide, indicators, and practical reporting templates. I also want to develop a small AI-biosecurity add-on module that asks a simple question: can public health laboratories safely use AI tools for tasks such as drafting SOPs, summarizing guidance, or preparing reports without exposing sensitive information or trusting incorrect advice?
The next phase would likely focus on the National Public Health Reference Laboratory in Monrovia and a small number of linked county laboratories. It would test BLAM more systematically, run a simple AI-biosecurity tabletop exercise, and produce practical outputs such as a safe-use guide, verification checklist, and escalation pathway for AI-related laboratory mistakes. Longer term, I want BLAM to become a Liberia-owned tool that can support better biosafety investment, partner coordination, and preparedness planning.
Is there anything others could help you with?
First, technical feedback from people with experience in biosafety, biosecurity, laboratory systems, or AI-biosecurity would be very useful. I especially need reviewers who can help make BLAM simpler, safer, and more credible before wider use.
Second, introductions to potential funders or collaborators interested in global health security, AI safety, pandemic preparedness, or laboratory strengthening would help move the work from seed pilot to scale up.
Third, I would appreciate practical support in turning the BLAM report into stronger public-facing materials: a short concept note, a clean tool/manual, and a funder-ready scale-up proposal. My PhD is currently unfunded, so support for protected time is also important if I am to keep pushing this work forward properly.