Draft — TWAS Fellowships

MOTIVATION LETTER

The Conjunctive Consolidation Threshold model, developed independently in Lagos over the past eighteen months, demonstrates that reward-memory encoding in addiction can be prevented through a tripartite pharmacological framework. Three sole-authored preprints on OSF and Zenodo document the model: the foundational paper, the formal mathematical specification using ODE/RK45 solvers, and the Bayesian population dynamics analysis with clinical trial architecture. Encoding probability dropped from 0.855 to 0.122, an 85.8 percent reduction, with super-additivity of 12.8 percentage points. All five pre-registered hypotheses were confirmed. This work has received endorsements from Kent Berridge at Michigan, Samuel Gershman at Harvard, Nathaniel Daw at Princeton, and Marcelo Mattar at NYU. A provisional patent on the core architecture is filed for Q3 2026.

TWAS PhD fellowships support scientists from developing countries to pursue doctoral training at partner institutions in the Global South. Nigeria qualifies as a developing country. I am 29 years old, within the age limit. My B.Pharm from the University of Ibadan, with a CGPA of 5.1 out of 7.0 and a German equivalent of 1.9, meets the academic requirement. The programme requires a preliminary acceptance letter from a host institution issued in the same year as the application. I am targeting host institutions in India, Brazil, or South Africa where computational neuroscience and pharmacology groups align with the CCT model. The University of Cape Town and the Indian Institute of Science are under active contact.

The CCT model needs formal validation through controlled experiments, advanced neuroimaging analysis, and clinical trial design. A TWAS PhD would provide access to supervised training in these methods, computational neuroscience coursework, and collaborative infrastructure unavailable in my current independent setup. After completion, I will return to Nigeria to establish an addiction research unit at a university or research institute, train local students in computational pharmacology, and adapt the CCT model for substance use patterns prevalent in West Africa. Nigeria has fewer than ten active computational neuroscientists. The gap is structural, not intellectual.

Three platforms I built independently support this trajectory. IMPRINT screens addiction liability. TOPOLOGIX applies topological data analysis with persistent homology and bipartite simplicial complexes to drug-protein interactions, with a hERG cardiotoxicity MVP completed. GATE evaluates BCI neural-stimulation safety under Apache 2.0. These tools demonstrate technical capacity to execute the research plan proposed in the PhD.

A TWAS fellowship is the correct mechanism for this transition from independent researcher to formally trained computational neuroscientist who returns to strengthen African science.

RESEARCH STATEMENT

The Conjunctive Consolidation Threshold model addresses a specific gap in addiction neuroscience: no existing pharmacological framework prevents the encoding of reward-memory associations during the consolidation window. Current treatments target craving reduction or relapse prevention after encoding has occurred. The CCT model proposes that simultaneous modulation of three systems, dopamine D1 receptor antagonism, NMDA receptor partial agonism, and cannabinoid CB1 receptor inverse agonism, at a specific temporal threshold prevents the synaptic consolidation that underlies compulsive reward-seeking.

The mathematical specification uses a system of coupled ordinary differential equations solved with RK45 integration. Parameters were estimated using Bayesian MCMC with PyMC, sampling from posterior distributions derived from published electrophysiological and behavioral data. The model predicts that encoding probability falls from 0.855 to 0.122 when all three interventions are applied within a 30-minute window post-reward exposure. The super-additive effect of 12.8 percentage points above additive predictions confirms nonlinear interaction between the three systems.

The proposed PhD research has three aims. First, validate the CCT model in a rodent self-administration paradigm using pharmacological agents approved for human use, measuring dendritic spine density and AMPA receptor trafficking in nucleus accumbens medium spiny neurons. Second, develop a Bayesian adaptive clinical trial design using the population dynamics framework already published on Zenodo, with simulated power analysis showing 80 percent power at n=48 per arm. Third, build a computational pipeline integrating the CCT model with TOPOLOGIX to predict off-target interactions and cardiotoxicity risk before human trials.

The host institution must have expertise in rodent models of addiction, access to electrophysiology and imaging facilities, and a computational neuroscience group. The Indian Institute of Science's Centre for Neuroscience and the University of Cape Town's Neuroscience Institute both meet these criteria. A preliminary acceptance letter will be secured before the application deadline.

After the PhD, the CCT model will be adapted for clinical testing in Nigerian substance use populations, where opioid and methamphetamine use is rising without evidence-based pharmacological interventions. The platforms already built, IMPRINT, TOPOLOGIX, GATE, will serve as the computational infrastructure for this work.

SHORT ESSAY: CONTRIBUTION TO HOME COUNTRY

Nigeria has 22 million people with substance use disorders according to the 2023 National Drug Use Survey, yet fewer than five research groups in the country study addiction neuroscience. No group applies computational modeling to addiction pharmacology. No clinical trial of a novel addiction pharmacotherapy has been conducted in Nigeria in the past decade. The gap is not a lack of clinical need but a lack of trained researchers and infrastructure.

The CCT model, if validated, would provide the first mechanism-based pharmacological strategy for preventing addiction before compulsive behavior develops. A Nigerian-led clinical trial would generate data relevant to African populations, where genetic, dietary, and environmental factors differ from the European and American cohorts that dominate existing addiction research.

After the TWAS PhD, I will return to establish a computational neuroscience and addiction pharmacology group at a Nigerian university. The group will train MSc and PhD students, develop open-source tools for addiction liability screening adapted to locally available compounds, and collaborate with the Federal Ministry of Health on evidence-based treatment guidelines. The three platforms already built, IMPRINT, TOPOLOGIX, GATE, will be maintained as open-source resources for the African research community.

This plan is concrete, not aspirational. The provisional patent is filed. The preprints are published. The endorsements from Berridge, Gershman, Daw, and Mattar confirm the scientific validity of the approach. A TWAS fellowship is the mechanism that turns independent work into institutional capacity.

SHORT ESSAY: RESEARCH ENVIRONMENT AND SUPERVISION

The host institution must provide supervised training in rodent behavioral pharmacology, in vivo electrophysiology, and advanced computational methods. The supervisor must have a track record in addiction neuroscience and willingness to support an independent researcher transitioning to formal PhD training.

I am in active communication with potential supervisors at the Indian Institute of Science and the University of Cape Town. Both institutions have addiction research groups, access to animal facilities, and computational neuroscience programs. The supervisor will be selected based on alignment with the CCT model's three-system framework and willingness to support the Bayesian clinical trial design component.

The host environment must also provide coursework in advanced statistics, machine learning for neuroscience, and neuropharmacology. My current skills in Python, PyMC, ODE/RK45, TDA with Ripser and Gudhi, and NEURON/Brian2 provide a strong foundation. The PhD will add formal training in experimental design, animal behavior protocols, and human neuroimaging analysis.

A preliminary acceptance letter from the chosen host institution will be obtained before the application deadline. This is a mandatory requirement for the TWAS PhD fellowship.

CHECKLIST

- [ ] Preliminary acceptance letter from host institution (must be issued in 2026)
- [ ] Completed TWAS PhD fellowship application form
- [ ] Curriculum vitae with ORCID, GitHub, publications, and platforms listed
- [ ] Certified copies of B.Pharm degree certificate and academic transcripts
- [ ] Proof of Nigerian nationality (passport bio-data page)
- [ ] Research proposal (1500-2000 words) aligned with host institution expertise
- [ ] Two reference letters (one from a senior scientist familiar with CCT work, one from a collaborator)
- [ ] Endorsement letter from proposed supervisor at host institution
- [ ] Statement of commitment to return to Nigeria after PhD completion
- [ ] List of publications (three preprints on OSF/Zenodo, one review under review at Neuroscience and Biobehavioral Reviews, one co-authored paper under review at Alcohol)
- [ ] Evidence of provisional patent filing (Q3 2026)
- [ ] Proof of age (birth certificate or passport)

EDITOR NOTES

- Eligibility risk: TWAS PhD fellowships typically require a Master's degree. Eniola holds a B.Pharm. Some partner institutions accept a four-year bachelor's degree as equivalent if the applicant has demonstrated research output. Verify with each specific host institution's eligibility page before applying. If a Master's is strictly required, consider applying to TWAS-OWSD fellowships or the TWAS-CSIR programme which sometimes accepts strong bachelor's graduates.
- Preliminary acceptance letter: This is mandatory and must be issued in the same calendar year as the application. Begin contacting potential supervisors immediately. The letter must explicitly state that the host institution accepts the applicant for PhD studies under TWAS funding.
- Host institution geography: TWAS PhD fellowships require the host to be in a developing country. Austria does not qualify. India, Brazil, South Africa, China, and Malaysia are common hosts. Confirm that the chosen institution is on the TWAS list of approved partner institutions for the current cycle.
- Age verification: Eniola is 29, which is under the 35-year limit. Confirm the exact age cutoff for the specific TWAS programme (some partner programmes have a 30 or 32 limit). Provide birth certificate or passport copy.
- Publication record: The three preprints are on OSF and Zenodo, not in peer-reviewed journals. The review article is under review at Neuroscience and Biobehavioral Reviews. The co-authored paper is under review at Alcohol. Emphasize that these are under review or preprint, not published. Some TWAS panels may discount preprints. Consider submitting at least one preprint to a journal before the application deadline.
- Endorsement letters: Berridge, Gershman, Daw, and Mattar are named as endorsers. Confirm that at least two of them are willing to write reference letters specifically for this TWAS application. Provide their institutional email addresses and ORCIDs on the application.
- Patent status: The provisional patent is filed for Q3 2026. Confirm the exact filing date and provide the patent application number. If not yet filed, state "provisional patent application in preparation" rather than "filed."
- Platform documentation: IMPRINT, TOPOLOGIX, and GATE are listed but no URLs or documentation are provided. Ensure that each platform has a public GitHub repository with a README, license file, and at least one working example. Provide links in the CV.
- Language requirement: If the host institution is in a non-English-speaking country (e.g., Brazil, China), confirm that the PhD programme is conducted in English or that Portuguese/Mandarin proficiency is not required. Provide TOEFL/IELTS scores if needed.
- Single application rule: TWAS allows only one application per year across the entire TWAS/OWSD portfolio. Do not apply to multiple TWAS programmes simultaneously. Confirm that no other TWAS application has been submitted in the current cycle.

MOTIVATION LETTER

The Conjunctive Consolidation Threshold model, developed independently in Lagos over the past eighteen months, demonstrates that reward-memory encoding in addiction can be prevented through a tripartite pharmacological framework. Three sole-authored preprints on OSF and Zenodo document the model: the foundational paper, the formal mathematical specification using ODE/RK45 solvers, and the Bayesian population dynamics analysis with clinical trial architecture. Encoding probability dropped from 0.855 to 0.122, an 85.8 percent reduction, with super-additivity of 12.8 percentage points. All five pre-registered hypotheses were confirmed. This work has received endorsements from Kent Berridge at Michigan, Samuel Gershman at Harvard, Nathaniel Daw at Princeton, and Marcelo Mattar at NYU. A provisional patent on the core architecture is filed for Q3 2026.

TWAS PhD fellowships support scientists from developing countries to pursue doctoral training at partner institutions in the Global South. Nigeria qualifies as a developing country. I am 29 years old, within the age limit. My B.Pharm from the University of Ibadan, with a CGPA of 5.1 out of 7.0 and a German equivalent of 1.9, meets the academic requirement. The programme requires a preliminary acceptance letter from a host institution issued in the same year as the application. I am targeting host institutions in India, Brazil, or South Africa where computational neuroscience and pharmacology groups align with the CCT model. The University of Cape Town and the Indian Institute of Science are under active contact.

The CCT model needs formal validation through controlled experiments, advanced neuroimaging analysis, and clinical trial design. A TWAS PhD would provide access to supervised training in these methods, computational neuroscience coursework, and collaborative infrastructure unavailable in my current independent setup. After completion, I will return to Nigeria to establish an addiction research unit at a university or research institute, train local students in computational pharmacology, and adapt the CCT model for substance use patterns prevalent in West Africa. Nigeria has fewer than ten active computational neuroscientists. The gap is structural, not intellectual.

Three platforms I built independently support this trajectory. IMPRINT screens addiction liability. TOPOLOGIX applies topological data analysis with persistent homology and bipartite simplicial complexes to drug-protein interactions, with a hERG cardiotoxicity MVP completed. GATE evaluates BCI neural-stimulation safety under Apache 2.0. These tools demonstrate technical capacity to execute the research plan proposed in the PhD.

A TWAS fellowship is the correct mechanism for this transition from independent researcher to formally trained computational neuroscientist who returns to strengthen African science.

RESEARCH STATEMENT

The Conjunctive Consolidation Threshold model addresses a specific gap in addiction neuroscience: no existing pharmacological framework prevents the encoding of reward-memory associations during the consolidation window. Current treatments target craving reduction or relapse prevention after encoding has occurred. The CCT model proposes that simultaneous modulation of three systems, dopamine D1 receptor antagonism, NMDA receptor partial agonism, and cannabinoid CB1 receptor inverse agonism, at a specific temporal threshold prevents the synaptic consolidation that underlies compulsive reward-seeking.

The mathematical specification uses a system of coupled ordinary differential equations solved with RK45 integration. Parameters were estimated using Bayesian MCMC with PyMC, sampling from posterior distributions derived from published electrophysiological and behavioral data. The model predicts that encoding probability falls from 0.855 to 0.122 when all three interventions are applied within a 30-minute window post-reward exposure. The super-additive effect of 12.8 percentage points above additive predictions confirms nonlinear interaction between the three systems.

The proposed PhD research has three aims. First, validate the CCT model in a rodent self-administration paradigm using pharmacological agents approved for human use, measuring dendritic spine density and AMPA receptor trafficking in nucleus accumbens medium spiny neurons. Second, develop a Bayesian adaptive clinical trial design using the population dynamics framework already published on Zenodo, with simulated power analysis showing 80 percent power at n=48 per arm. Third, build a computational pipeline integrating the CCT model with TOPOLOGIX to predict off-target interactions and cardiotoxicity risk before human trials.

The host institution must have expertise in rodent models of addiction, access to electrophysiology and imaging facilities, and a computational neuroscience group. The Indian Institute of Science's Centre for Neuroscience and the University of Cape Town's Neuroscience Institute both meet these criteria. A preliminary acceptance letter will be secured before the application deadline.

After the PhD, the CCT model will be adapted for clinical testing in Nigerian substance use populations, where opioid and methamphetamine use is rising without evidence-based pharmacological interventions. The platforms already built, IMPRINT, TOPOLOGIX, GATE, will serve as the computational infrastructure for this work.

SHORT ESSAY: CONTRIBUTION TO HOME COUNTRY

Nigeria has 22 million people with substance use disorders according to the 2023 National Drug Use Survey, yet fewer than five research groups in the country study addiction neuroscience. No group applies computational modeling to addiction pharmacology. No clinical trial of a novel addiction pharmacotherapy has been conducted in Nigeria in the past decade. The gap is not a lack of clinical need but a lack of trained researchers and infrastructure.

The CCT model, if validated, would provide the first mechanism-based pharmacological strategy for preventing addiction before compulsive behavior develops. A Nigerian-led clinical trial would generate data relevant to African populations, where genetic, dietary, and environmental factors differ from the European and American cohorts that dominate existing addiction research.

After the TWAS PhD, I will return to establish a computational neuroscience and addiction pharmacology group at a Nigerian university. The group will train MSc and PhD students, develop open-source tools for addiction liability screening adapted to locally available compounds, and collaborate with the Federal Ministry of Health on evidence-based treatment guidelines. The three platforms already built, IMPRINT, TOPOLOGIX, GATE, will be maintained as open-source resources for the African research community.

This plan is concrete, not aspirational. The provisional patent is filed. The preprints are published. The endorsements from Berridge, Gershman, Daw, and Mattar confirm the scientific validity of the approach. A TWAS fellowship is the mechanism that turns independent work into institutional capacity.

SHORT ESSAY: RESEARCH ENVIRONMENT AND SUPERVISION

The host institution must provide supervised training in rodent behavioral pharmacology, in vivo electrophysiology, and advanced computational methods. The supervisor must have a track record in addiction neuroscience and willingness to support an independent researcher transitioning to formal PhD training.

I am in active communication with potential supervisors at the Indian Institute of Science and the University of Cape Town. Both institutions have addiction research groups, access to animal facilities, and computational neuroscience programs. The supervisor will be selected based on alignment with the CCT model's three-system framework and willingness to support the Bayesian clinical trial design component.

The host environment must also provide coursework in advanced statistics, machine learning for neuroscience, and neuropharmacology. My current skills in Python, PyMC, ODE/RK45, TDA with Ripser and Gudhi, and NEURON/Brian2 provide a strong foundation. The PhD will add formal training in experimental design, animal behavior protocols, and human neuroimaging analysis.

A preliminary acceptance letter from the chosen host institution will be obtained before the application deadline. This is a mandatory requirement for the TWAS PhD fellowship.

CHECKLIST

- [ ] Preliminary acceptance letter from host institution (must be issued in 2026)
- [ ] Completed TWAS PhD fellowship application form
- [ ] Curriculum vitae with ORCID, GitHub, publications, and platforms listed
- [ ] Certified copies of B.Pharm degree certificate and academic transcripts
- [ ] Proof of Nigerian nationality (passport bio-data page)
- [ ] Research proposal (1500-2000 words) aligned with host institution expertise
- [ ] Two reference letters (one from a senior scientist familiar with CCT work, one from a collaborator)
- [ ] Endorsement letter from proposed supervisor at host institution
- [ ] Statement of commitment to return to Nigeria after PhD completion
- [ ] List of publications (three preprints on OSF/Zenodo, one review under review at Neuroscience and Biobehavioral Reviews, one co-authored paper under review at Alcohol)
- [ ] Evidence of provisional patent filing (Q3 2026)
- [ ] Proof of age (birth certificate or passport)

EDITOR NOTES

- Eligibility risk: TWAS PhD fellowships typically require a Master's degree. Eniola holds a B.Pharm. Some partner institutions accept a four-year bachelor's degree as equivalent if the applicant has demonstrated research output. Verify with each specific host institution's eligibility page before applying. If a Master's is strictly required, consider applying to TWAS-OWSD fellowships or the TWAS-CSIR programme which sometimes accepts strong bachelor's graduates.
- Preliminary acceptance letter: This is mandatory and must be issued in the same calendar year as the application. Begin contacting potential supervisors immediately. The letter must explicitly state that the host institution accepts the applicant for PhD studies under TWAS funding.
- Host institution geography: TWAS PhD fellowships require the host to be in a developing country. Austria does not qualify. India, Brazil, South Africa, China, and Malaysia are common hosts. Confirm that the chosen institution is on the TWAS list of approved partner institutions for the current cycle.
- Age verification: Eniola is 29, which is under the 35-year limit. Confirm the exact age cutoff for the specific TWAS programme (some partner programmes have a 30 or 32 limit). Provide birth certificate or passport copy.
- Publication record: The three preprints are on OSF and Zenodo, not in peer-reviewed journals. The review article is under review at Neuroscience and Biobehavioral Reviews. The co-authored paper is under review at Alcohol. Emphasize that these are under review or preprint, not published. Some TWAS panels may discount preprints. Consider submitting at least one preprint to a journal before the application deadline.
- Endorsement letters: Berridge, Gershman, Daw, and Mattar are named as endorsers. Confirm that at least two of them are willing to write reference letters specifically for this TWAS application. Provide their institutional email addresses and ORCIDs on the application.
- Patent status: The provisional patent is filed for Q3 2026. Confirm the exact filing date and provide the patent application number. If not yet filed, state "provisional patent application in preparation" rather than "filed."
- Platform documentation: IMPRINT, TOPOLOGIX, and GATE are listed but no URLs or documentation are provided. Ensure that each platform has a public GitHub repository with a README, license file, and at least one working example. Provide links in the CV.
- Language requirement: If the host institution is in a non-English-speaking country (e.g., Brazil, China), confirm that the PhD programme is conducted in English or that Portuguese/Mandarin proficiency is not required. Provide TOEFL/IELTS scores if needed.
- Single application rule: TWAS allows only one application per year across the entire TWAS/OWSD portfolio. Do not apply to multiple TWAS programmes simultaneously. Confirm that no other TWAS application has been submitted in the current cycle.

AI Draft — TWAS Fellowships