Problem Solver

Semidán Robaina Estévez

Semidán Robaina Estévez

Areas Semidán Robaina Estévez is Knowledgeable in:

Computational Biology, Data Science, Network Science, Convex Optimization, Programming (Python, JavaScript).

Techniques Semidán Robaina Estévez Uses:

Most commonly I follow the scientific method.

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