TheBioMLClinic is an independent advisory, consulting and knowledge transfer practice in AAV capsid engineering and machine learning. I work with organizations building, evaluating or troubleshooting AAV-ML programs. Identifying where the models will fail before they do, and building the computational infrastructure to close those gaps. This includes licensing access to proprietary ML frameworks where standard approaches fall short.
Advisory
Executive & Investor Advisory
Independent technical opinion for decision-makers evaluating AAV-ML platforms, collaborations, or acquisitions. Covers vendor and platform due diligence, collaboration structure review, experimental data asset assessment and investment evaluation. For when you need someone who has no stake in the outcome.
Technical Advisory
Strategic guidance for teams building or running AAV-ML programs. Covers roadmapping, experimental design review, and program assessment. For organizations that need scientific direction without adding a full-time hire.
Consultation
Frontier Engagements
For collaborative projects at the boundary of what AAV-ML can currently do, where the question itself is new and no established method exists. These engagements are selective and structured individually. If your program is pushing past the current state of the field, this is the right conversation to have. Some frontier engagements are structured as co-development arrangements where experimental data and computational contribution are exchanged under defined IP terms. Contact to discuss fit.
Project-Based Consultation
Hands-on computational work scoped to a specific problem. ML model design, targeted library building, capsid property optimization, or standalone analytical questions outside the Digital Twin framework. Defined scope, defined deliverable.
Licensing
Digital Twin Licensing
Proprietary access to AAV Digital Twin modules for programs where standard approaches fall short. Modules are available individually based on program fit, no full framework adoption required. Licensing terms are structured around the specific tool, the program scope, and the data readiness of the engagement.