MOTIVATION LETTER The African Research Universities Alliance Early-career Research Fellowship arrives at a specific moment in my trajectory. I am a 29-year-old Nigerian pharmacist and independent computational researcher, enrolled in the M.Sc. Digital Health programme at the Hasso Plattner Institute in Germany, with a research programme that spans addiction neuroscience, protein machine learning, and dynamical-systems pharmacology. My primary project, the Conjunctive Consolidation Threshold model, is a tripartite pharmacological framework for preventing reward-memory encoding in addiction. It is a set of three coupled ordinary differential equations, calibrated with Bayesian MCMC against 1,847 records from the literature, and all five pre-registered hypotheses have been confirmed. The model is currently under review at three peer-reviewed journals as sole-authored preprints. This fellowship is a direct fit because my work addresses a challenge relevant to Africa. Substance use disorders in Nigerian and other African populations are severely understudied, and no computational framework exists that models the pharmacological dynamics of addiction in a way that could guide region-specific treatment protocols. The CCT model, built entirely with open-source code and open data, can be validated against Nigerian epidemiological data or adapted in collaboration with ARUA neuroscientists. The ARUA network, with its Centres of Excellence in digital health and neuroscience, provides the institutional structure I currently lack as an independent researcher. My track record demonstrates productivity that exceeds typical expectations for a pre-PhD researcher. I have four sole-authored preprints, one co-authored paper under review at Alcohol, and a portfolio of open-source simulation engines including neurocascade and ergofluids. My collaborators include Kent Berridge at Michigan, Samuel Gershman at Harvard, Nathaniel Daw at Princeton, and Marcelo Mattar at NYU. I have built four independent data pipelines for corpus analysis across life sciences, technology, and social science domains. This fellowship would allow me to transition from independent work to a structured research environment within the ARUA network, with a clear career development plan toward a PhD in computational psychiatry. The monthly stipend of $2,000 is significant for my context. It would cover research costs, travel to ARUA partner institutions, and access to computational resources. I am ready to name a mentor from the ARUA network and to propose a specific validation study for the CCT model using African data. This is a concrete proposal to build computational neuroscience capacity within the ARUA system. RESEARCH STATEMENT Project Title: Validating the Conjunctive Consolidation Threshold Model for Addiction Treatment in African Populations The Conjunctive Consolidation Threshold model addresses a fundamental question in addiction neuroscience: can a pharmacological intervention prevent the encoding of reward-associated memories that drive relapse? The model posits that three coupled processes must be simultaneously suppressed to block memory consolidation: dopaminergic reward prediction error signaling, NMDAR-dependent long-term potentiation, and affective contrast between drug and non-drug states. These are formalized as a system of three ordinary differential equations, solved with RK45, and calibrated with Bayesian MCMC using PyMC's DEMetropolisZ sampler. The model has 14 free parameters, all with literature-elicited priors from a systematic screen of 1,847 records. All five pre-registered hypotheses were confirmed, with posterior super-additivity of 13 to 22 percentage points across model versions. The proposed project has three aims. First, to adapt the CCT model to account for pharmacokinetic differences common in African populations, including genetic variants in CYP2D6 and CYP3A4 that alter drug metabolism rates for compounds like naltrexone and bupropion. Second, to validate the model's predictions against published clinical trial data from sub-Saharan African cohorts, specifically trials of naltrexone for alcohol use disorder and methadone for opioid dependence. Third, to produce an open-source, browser-accessible version of the CCT simulation engine that can be used by clinicians and researchers at ARUA member institutions without requiring high-performance computing. The project aligns with ARUA's Centre of Excellence in Digital Health. My enrollment at Hasso Plattner Institute provides access to computational methods and supervision in digital health, while my affiliation as an independent researcher in Nigeria ensures the work remains grounded in local context. The expected outputs are: one peer-reviewed publication in a computational psychiatry journal, one open-source software package, and a workshop at an ARUA member university to train early-career researchers in the use of the model. The timeline is 12 months. Months 1-3: literature review and parameter adaptation for African pharmacokinetic data. Months 4-8: model validation against published African trial data. Months 9-12: software development, documentation, and workshop delivery. The total budget is $24,000, covered entirely by the fellowship stipend, with no additional equipment costs beyond a standard laptop and cloud computing credits. CAREER DEVELOPMENT PLAN My career goal is to become a leading computational psychiatrist in Africa, building a research group that combines pharmacological modeling, machine learning, and clinical data to address substance use disorders. This fellowship is the next step in a trajectory that began with a B.Pharm from the University of Ibadan and continued through independent research in computational neuroscience. In the short term, the fellowship will allow me to complete the validation study described in the research statement, publish the CCT model in a peer-reviewed journal, and establish a collaboration with an ARUA-affiliated neuroscientist. I will also complete my M.Sc. in Digital Health at Hasso Plattner Institute, which provides formal training in computational methods and health data science. In the medium term, I will apply for a PhD in computational neuroscience or computational psychiatry at a European or North American university, with a focus on dynamical-systems approaches to addiction. My collaborators at Harvard, Princeton, and NYU have indicated willingness to support such applications. The fellowship's mentorship component is critical here: I need guidance on navigating PhD applications, identifying funding sources, and building a publication record that meets international standards. In the long term, I will return to Nigeria to establish a computational psychiatry laboratory at an ARUA member university. The laboratory will focus on three areas: adapting pharmacological models for African populations, developing machine learning tools for predicting treatment response, and training the next generation of African computational neuroscientists. The ARUA network provides the institutional home for this vision. The specific skills I need to develop during this fellowship are: advanced Bayesian modeling techniques, clinical trial data analysis, and grant writing for international funding agencies. I will attend the ARUA annual conference, participate in online workshops offered by the Centre of Excellence in Digital Health, and seek mentorship from a senior ARUA researcher with expertise in addiction neuroscience. MENTORSHIP AND INSTITUTIONAL SUPPORT I am currently an independent researcher without a formal institutional affiliation in the ARUA network. However, I have secured preliminary agreement from Professor Samuel Gershman at Harvard University to serve as an external mentor for the duration of the fellowship. Professor Gershman has endorsed my arXiv submissions and is familiar with the CCT model. I am also in discussion with the Centre of Excellence in Digital Health at the University of Nairobi to explore a formal host arrangement. The ideal host institution would be an ARUA member university with an active neuroscience or pharmacology research group. I am open to affiliation with the University of Ibadan, the University of Cape Town, or the University of Nairobi, depending on the availability of a named mentor. I commit to identifying and confirming a host institution and mentor within the first month of the fellowship, with support from the ARUA secretariat. The institutional support I require is minimal: access to a library, a computer, and the ability to collaborate with local researchers. My computational work runs on a personal laptop and cloud servers. I do not require laboratory space or specialized equipment. The primary value of institutional affiliation is intellectual community, mentorship, and the credibility that comes with being part of the ARUA network. CHECKLIST - [ ] Motivation letter, 500 words maximum - [ ] Research statement, 600 words maximum - [ ] Career development plan, 400 words maximum - [ ] Mentorship and institutional support statement, 300 words maximum - [ ] Curriculum vitae with full publication list and ORCID - [ ] Two letters of recommendation, one from a named mentor - [ ] Proof of enrollment in M.Sc. Digital Health at Hasso Plattner Institute - [ ] Copy of B.Pharm certificate and transcript - [ ] Preprints of CCT model papers (three sole-authored) - [ ] Pre-registration documents for CCT model hypotheses - [ ] Open-source code repository links (GitHub: github.com/AmunRaPtah) - [ ] Personal website link (zyco.org) - [ ] Completed ARUA application form - [ ] Signed declaration of independent researcher status EDITOR NOTES - Eligibility risk: The programme requires affiliation with an ARUA member university or its Centres of Excellence. The applicant is currently an independent researcher. The mentorship and institutional support statement must confirm a formal host arrangement before submission. If no host is confirmed, the application may be rejected on eligibility grounds. - Fact verification: The applicant states that the CCT model is under review at three journals (IART, PNPBP, NBR). These journal names should be verified against the actual submission status. If any have been rejected or are not yet submitted, the statement must be revised. - Gap: The applicant's current location is not specified. The profile says Nigerian, but the applicant is enrolled at HPI in Germany. The application should clarify whether the applicant is physically in Nigeria or Germany during the fellowship period, as this affects the Africa relevance angle. - Gap: No named mentor from an ARUA institution is confirmed. The statement mentions discussions with the University of Nairobi but does not name a specific person. The applicant must identify and name a mentor before submission. - Gap: The budget section states the fellowship stipend covers all costs, but the programme may require a separate budget justification. Check the application form for a budget line item.