MOTIVATION LETTER The European Molecular Biology Laboratory runs the most rigorous computational biology training courses in Europe. I need that rigor. I am an independent computational researcher based in Nigeria, building models across addiction neuroscience, protein machine learning, and dynamical systems. My current projects have reached a point where advanced training in systems biology or machine learning for drug discovery would directly determine whether I can move from preprint-stage results to published, peer-reviewed methods. My TOPOLOGIX project predicts drug-resistance mutations from protein sequence alone using ESM-2 delta-embeddings and Morgan fingerprints. It achieves an AUROC of 0.804 on the Platinum benchmark, covering 100% of mutations compared to roughly 18% for structure-limited tools. The method beats mCSM-lig, which scores around 0.70. But the gap between a benchmark result and a deployable tool requires deeper knowledge of feature engineering, model interpretability, and validation design. EMBL courses in computational biology and machine learning for drug discovery teach exactly that. My neurocascade project couples pharmacokinetics to receptor-binding to Wilson-Cowan circuit dynamics in a single simulation engine. Three receptor systems are calibrated: mu-opioid, D2 dopamine, and GABA-A. All 62 tests pass. But the circuit-layer parameters remain illustrative because I have not yet fitted them to real behavioral data. EMBL training in systems biology would give me the statistical frameworks to close that gap. I am a Nigerian pharmacist with a B.Pharm from the University of Ibadan and enrollment in the M.Sc. Digital Health programme at Hasso Plattner Institute in Germany starting winter 2026. I have published three sole-authored preprints on the CCT model, a co-authored paper under review at Alcohol, and a registered report on hERG cardiotoxicity topology that settled a comparison the literature had never actually run. I maintain four independent DuckDB-based corpus pipelines, self-host local LLM inference with llama.cpp, and manage production Linux systems with Caddy TLS and automated backup. These skills mean I will not need remedial instruction in programming or infrastructure. I need the conceptual depth that EMBL provides. I will disseminate everything I learn. I run a personal site at zyco.org where I publish methods and results. I contribute to open-source projects on GitHub. I will write a detailed technical report on the course content and share it with the Nigerian computational biology community through the Bioinformatics Working Group at the University of Ibadan. EMBL bursary support would make this possible. I cannot fund travel and accommodation from Nigeria on an independent researcher budget. I apply for the EMBL Advanced Training Course in Computational Biology or Machine Learning for Drug Discovery. The rolling deadline allows me to align with the course that best matches my current project phase. I request a bursary as an international participant from an LMIC. CHECKLIST - [ ] Complete EMBL online application form at embl.org/training - [ ] Upload CV (2 pages max, PDF) - [ ] Upload this motivation letter (PDF) - [ ] Select specific course from the EMBL training catalogue - [ ] Check bursary application box on the form - [ ] Prepare supporting documents: degree certificate, proof of M.Sc. enrollment, ORCID profile URL - [ ] Verify deadline for the selected course (rolling, but specific courses have fixed dates) - [ ] Confirm eligibility: early-career researcher, no PhD required, independent researcher status accepted if space permits EDITOR NOTES - Eligibility risk: EMBL courses are primarily for PhD students and postdocs. The profile states independent researchers and MSc students may be considered if space permits. The applicant should check each specific course page for eligibility language and, if needed, email the course organizer before applying to confirm that an independent researcher with an MSc enrollment qualifies. - Fact verification: The profile states the co-authored paper is under review at Alcohol. The applicant should confirm this is still accurate at the time of application and, if the paper has been accepted, update the letter with the acceptance status and DOI. - Gap: The letter does not specify which exact EMBL course the applicant is applying to. The applicant must insert the course name and dates after selecting from the EMBL training catalogue. The letter currently says "Computational Biology or Machine Learning for Drug Discovery" as a placeholder. Replace with the actual course title. - Bursary chance: The profile estimates 50% for international participants. The applicant should prepare a brief budget breakdown showing travel costs from Nigeria, accommodation, and registration fees to strengthen the bursary application. EMBL may ask for this separately. - Personal detail: The applicant should add one sentence about their specific interest in the chosen course topic, referencing a particular technique or lecture they want to learn. This is not in the profile and must be written by the applicant based on the course syllabus.