MOTIVATION LETTER A tripartite ODE model of reward-memory encoding, calibrated with Bayesian MCMC against 1,847 literature records, confirmed all five pre-registered hypotheses and produced posterior super-additivity of 13 to 22 percentage points across versions. That model, the Conjunctive Consolidation Threshold framework, is now under review at three peer-reviewed journals. It exists because I needed a pharmacological framework for addiction that treats memory consolidation as the target, not dopamine alone. Mozilla Fellowship is the programme that funds people who build technology for public good, not for scale. I am applying because my open-source computational tools for addiction neuroscience and drug-resistance prediction are exactly that kind of technology. My research spans domains that Mozilla values: open infrastructure, reproducible science, and tools that serve communities. The TOPOLOGIX pipeline uses ESM-2 protein-language-model embeddings and Morgan fingerprints with a Random Forest classifier to predict drug-resistance mutations from sequence alone. It achieves AUROC 0.804 on the Platinum benchmark, covering 100 percent of mutations versus roughly 18 percent for structure-limited tools. I built it in the open, on GitHub, with full reproducibility documentation. The neurocascade simulation engine couples pharmacokinetics to receptor-binding to Wilson-Cowan circuit dynamics to behavioral readout, all in Python, all open-source. Sixty-two of sixty-two tests pass. These are public goods, not products. Mozilla asks for commitment to technology serving people, openness and knowledge sharing, and a community-centered approach. My work meets each criterion. I published the CCT model preprints on OSF and Zenodo before journal submission. I reported the ergofluids transport-model failure directly rather than reframing it, because negative results are infrastructure too. I self-host local LLM serving with llama.cpp and maintain four independent DuckDB-based ingest-to-analyze pipelines across life-sciences, tech, and social-science domains. These are the operating system of an independent researcher who refuses to gatekeep computational methods behind institutional paywalls. The Fellowship project I propose is a reproducible, open-source platform for democratizing drug discovery and addiction neuroscience research. It will integrate the CCT model, TOPOLOGIX, and neurocascade into a single modular framework with containerized deployment, pre-configured HPC workflows via Nextflow, and browser-accessible interfaces for LMIC researchers who lack institutional compute. The platform will include tutorial notebooks, literature-calibrated parameter sets, and a community contribution protocol. It will empower researchers in Nigeria and across Africa to run their own simulations, test their own hypotheses, and publish their own results without needing a lab in Boston or Berlin. I am 29 years old, a licensed pharmacist trained at the University of Ibadan, and enrolled in the M.Sc. Digital Health programme at Hasso Plattner Institute in Germany. I have endorsements from Kent Berridge at Michigan, Samuel Gershman at Harvard, Nathaniel Daw at Princeton, and Marcelo Mattar at NYU. I am ready to scale my impact beyond my local context. Mozilla Fellowship is the vehicle. PROJECT PROPOSAL The project is called OpenNeuroPharm. It is a modular, containerized, open-source platform that integrates three validated computational tools into a single reproducible framework for drug discovery and addiction neuroscience research. The three tools are the CCT addiction model, the TOPOLOGIX drug-resistance predictor, and the neurocascade brain-circuit simulation engine. Each exists as a standalone Python repository with documented APIs, test suites, and literature-calibrated parameter sets. OpenNeuroPharm will wrap them in a unified deployment layer using Docker containers, Nextflow workflow orchestration, and a Supabase backend for user-contributed parameter sets and results. A browser-accessible interface built with JavaScript and Node.js will allow researchers to configure simulations, upload protein sequences, and download results without writing a single command-line instruction. The platform addresses a specific problem: researchers in low- and middle-income countries, particularly in Africa, lack access to the computational infrastructure required to run modern drug discovery and neuroscience simulations. Institutional compute clusters are rare. High-performance computing grants require affiliations that many independent researchers do not have. OpenNeuroPharm will run on a single Linux VPS with Caddy TLS and automated backup, and it will scale to SLURM clusters when available. The barrier to entry is a web browser and an internet connection. The Fellowship period will produce three deliverables. First, the integrated platform with deployment documentation and tutorial notebooks for all three tools. Second, a community contribution protocol that defines how external researchers can submit new receptor-circuit systems, mutation benchmarks, or parameter calibrations. Third, a published case study using OpenNeuroPharm to replicate and extend the CCT model's posterior super-additivity findings, demonstrating that the platform produces results consistent with the original preprints. Mozilla's selection criteria emphasize feasibility and ambition. OpenNeuroPharm is feasible because the core tools already exist and pass their test suites. The integration work is engineering, not invention. The ambition is that a researcher at the University of Ibadan, where I trained, can run the same addiction model that Kent Berridge's lab at Michigan uses, on a laptop, with no institutional support. That is technology serving people. SHORT ESSAY: OPEN SOURCE AND KNOWLEDGE SHARING I publish everything in the open because closed science is slow science. The CCT model preprints went to OSF and Zenodo before any journal submission. The TOPOLOGIX repository on GitHub includes the full pipeline, the benchmark data, and a README that explains how to reproduce every figure. The ergofluids transport-model failure is documented on the same platform as the successes, with the same level of detail. This is a practical decision: independent researchers cannot afford to hide their methods behind institutional paywalls because they have no institutional use to negotiate access. Mozilla asks for openness and knowledge sharing through writing, speaking, teaching, or building in the open. I do all four. My personal site at zyco.org hosts technical write-ups on Bayesian calibration of ODE models, persistent homology for protein-ligand interfaces, and the architecture of self-hosted LLM serving. I maintain four DuckDB-based ingest-to-analyze pipelines that I have shared as reference architectures. I teach through code comments, through README files, through the structure of my repositories. The neurocascade simulation engine has 62 passing tests not because I am obsessive, but because a failing test is a broken promise to anyone who clones the repository. The Fellowship project will extend this practice. OpenNeuroPharm will include a community contribution protocol that defines how external researchers can submit new receptor-circuit systems, mutation benchmarks, or parameter calibrations. The protocol will include a template for contributions, a review checklist, and a license that ensures all contributions remain open. The goal is to build a platform that the community owns. SHORT ESSAY: COMMUNITY-CENTERED APPROACH Building with communities, not for them, means starting with the problems that the community identifies, not the problems that the builder assumes. I learned this during my time as a bioinformatics researcher with the GHRU-GSAR project, where I built AMR surveillance pipelines for Nigerian public health laboratories. The pipelines worked technically. They failed practically because I had not accounted for intermittent power, variable internet connectivity, and the fact that the people running them were overworked laboratory scientists, not computational biologists. That experience reshaped how I build. The TOPOLOGIX pipeline runs on a single machine with no GPU requirement. The CCT model calibrates in under an hour on a laptop. The neurocascade engine prints human-readable error messages that explain what went wrong and how to fix it. These are design decisions driven by the constraints of the communities I aim to serve. For the Fellowship project, I will conduct structured interviews with five to ten computational researchers at African universities before writing a single line of platform code. The interviews will cover compute access, software installation barriers, data storage limitations, and preferred interface modalities. The results will be published as a design document before development begins. The platform will be tested by researchers who were not involved in its design, and their feedback will be incorporated before the public release. Mozilla's selection criteria ask for a community-centered approach. OpenNeuroPharm will be built with African researchers, not for them. The community contribution protocol will ensure that the platform evolves based on what the community needs, not what I think they need. CHECKLIST - [ ] Complete Mozilla Fellowship online application form at the programme URL - [ ] Upload motivation letter as PDF - [ ] Upload project proposal as PDF - [ ] Upload short essay on open source and knowledge sharing as PDF - [ ] Upload short essay on community-centered approach as PDF - [ ] Provide ORCID iD: 0009-0001-9272-6735 - [ ] Provide GitHub profile URL: github.com/AmunRaPtah - [ ] Provide personal site URL: zyco.org - [ ] List three references with contact information (Kent Berridge, Samuel Gershman, Nathaniel Daw recommended) - [ ] Confirm eligibility for early-career, pre-PhD, LMIC-track, and independent researcher programmes - [ ] Verify that M.Sc. Digital Health enrolment at HPI/Potsdam does not conflict with fellowship terms - [ ] Confirm that Nigerian nationality does not create visa or tax complications for the fellowship EDITOR NOTES - Eligibility risk: Mozilla Fellowship typically requires full-time commitment for a defined period. Eniola is enrolled in an M.Sc. programme starting Winter 2026/27 and employed as National Product Manager at Synthcare. The application must clarify how the Fellowship project will be scheduled around these commitments, or whether the Fellowship can be pursued part-time. This is not addressed in the current draft. - Fact to verify: The Mozilla Fellowship programme URL provided (https://www.mozillafoundation.org/en/what-we-do/grantmaking/fellowship/) may not be the active application portal. The applicant should confirm the correct URL and any specific application requirements, including whether the fellowship is currently open for applications. - Gap to fill: The profile does not include any prior experience with digital rights, internet health, or policy advocacy, which are core Mozilla focus areas. The application should either connect the computational tools to these themes more explicitly, or the applicant should consider whether a different fellowship programme is a better fit. - Fact to verify: The applicant's age (29) and career stage (pre-PhD, enrolled in M.Sc.) should be confirmed against the fellowship's definition of "rising star" or "early-career." Some Mozilla Fellows are established leaders. The application should position the applicant clearly as an early-career researcher with demonstrated independent output. - Gap to fill: The profile mentions "co-authored paper in Alcohol (Elsevier, under review)" but does not specify the applicant's role or contribution. The application should clarify this if the paper is relevant to the Fellowship proposal.