Semidán Robaina Estévez

Areas Semidán Robaina Estévez is Knowledgeable in:

Techniques Semidán Robaina Estévez Uses:

Semidán Robaina Estévez's Problem Solving Skills:

1. Metabolic pathway optimization
2. Metabolism - Metabolic networks
3. Network science
4. Convex optimization
5. R programming
6. Python programming
7. JavaScript programming

Semidán Robaina Estévez's Problem Solving Experience:

1. I developed an algorithm to integrate chemical thermodynamic data into mathematical models of metabolism to constraint the space of possible solutions (i.e., metabolic fluxes)
2. I developed an algorithm (Python) to automatically update a dashboard based on user-entered data and the Google Drive API
3. I developed an algorithm to find subsets of metabolic networks that better represent specific cellular conditions
4. I developed an algorithm based on convex optimization to integrate large molecular datasets into mathematical models of metabolic networks
5. I developed a computational solution to screen candidate fungal strains for a biotech coompany