Applied capacity building
In-person or hybrid programs for administrative, clinical, academic and leadership teams.
training and consulting
AI applied to health care with method, clarity and responsible implementation.
I work with teams, leaders and institutions that want to turn AI into practical capability. Each program starts from the team's daily routine and ends with usage criteria and applications it can adopt.
main formats
Diagnosis and direction
Maturity assessment, careful tool selection and priority design for implementation.
Tailored content
Keynotes, corporate events and technical meetings for audiences with different backgrounds and maturity levels.
// consulting and training
AI without hype: AI literacy and training include knowing when to use AI and when NOT to use it.
The main challenge related to artificial intelligence is not the model itself, but the user. Many institutions still operate between extremes: unrealistic expectations or immediate rejection.
The most useful path is another one: understanding what AI does well, where it fails, what risks exist and how to adopt it with safety, method and depth. That is what I call AI literacy.
My work is to design training and consulting that make sense for each organization's real context, from initial orientation to tool curation, maturity diagnosis and workflow design.
Tailored workshops and training for groups, teams and institutions.
Workflow analysis and identification of integration opportunities that truly generate value.
Guidance to choose tools that fit clinical practice, teaching and management.
// talks and workshops
Technical content tuned to the audience's actual repertoire.
More than 20 years of teaching neuroscience, physiology, biochemistry and other complex subjects to very different audiences. It is this background that makes it possible to translate AI in health care with precision and accessible language.
Foundational training for professionals from different backgrounds on practical, ethical and safe use of generative AI.
The real impact of AI on clinical practice, diagnosis, governance and the regulatory limits of responsible adoption.
Using AI as a learning tool, for deliberate training and for the design of more responsive educational journeys.
