I enjoy mostly being in the field, which was my primary motivation to study Biology, and my main source of professional pleasure. I have been always hard-worker in field, and I enjoy the routine, the achievements, and the feelings of the fieldwork.
I have realized that it is easier to find open doors to those with strong analytical and quantitative skills. I am working towards a more quantitative approach for my research and work. Although I was trained on the frequentist paradigm, I am trying to include the multimodel inference paradigm based on information and likelihood theories, as well as Bayesian and purely predictive approaches to inference. I avoid p values. Writing R is the main source of flow in my daily routine.
I have a logician-like personality type. I rely very much on concentration. I prefer the quick achievement of short-term and specific goals to the slow development of several long-term projects simultaneously. I respect merit, efficiency, and intelligence more than hierarchy, power, or age. I work best with other people when there is a strong focus on goals and solving problems. I am comfortable if my work is judged only by its results. I prefer to have clear which are the responsibilities and rewards of everybody involved in a project.
I take very seriously the data-sharing policies and ethical codes to which I adhere, as the Madidi Project ethical code. I offer and expect a rigorous approach to ethical issues within any collaboration, including authorships, regardless of friendships, enmities, or personal preferences of any kind.
I am in favor of open access to data and open methods. I employ structured workflows for my statistical and data-related projects. I try to avoid collaborations based on exploring the data from different angles "and we will see". In the projects that I lead, I offer early access to scripts and text, and I encourage collaborators to contribute to the development of the project, and scrutinize it, as much as they can.
I have realized that it is easier to find open doors to those with strong analytical and quantitative skills. I am working towards a more quantitative approach for my research and work. Although I was trained on the frequentist paradigm, I am trying to include the multimodel inference paradigm based on information and likelihood theories, as well as Bayesian and purely predictive approaches to inference. I avoid p values. Writing R is the main source of flow in my daily routine.
I have a logician-like personality type. I rely very much on concentration. I prefer the quick achievement of short-term and specific goals to the slow development of several long-term projects simultaneously. I respect merit, efficiency, and intelligence more than hierarchy, power, or age. I work best with other people when there is a strong focus on goals and solving problems. I am comfortable if my work is judged only by its results. I prefer to have clear which are the responsibilities and rewards of everybody involved in a project.
I take very seriously the data-sharing policies and ethical codes to which I adhere, as the Madidi Project ethical code. I offer and expect a rigorous approach to ethical issues within any collaboration, including authorships, regardless of friendships, enmities, or personal preferences of any kind.
I am in favor of open access to data and open methods. I employ structured workflows for my statistical and data-related projects. I try to avoid collaborations based on exploring the data from different angles "and we will see". In the projects that I lead, I offer early access to scripts and text, and I encourage collaborators to contribute to the development of the project, and scrutinize it, as much as they can.
