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Pedro Xavier Medina

Institution/Organization: University of Puerto Rico – Arecibo.

Department: Biology.

2nd Institution/Organization: Argonne National Laboratory.

Academic Status: Undergraduate Student.

What conference theme areas are you interested in:

Computational science and machine learning;
Statistical modeling, methods, and computation;
Multiscale, multiphysics, and multilevel methods;
High performance software: packages and design;
Algorithms at extreme scales;
Tensor Computations;
High-order methods, novel discretizations, and scalable solvers;
Data science, analytics, and visualization;
Applications in science, engineering, and industry;
Biological and biomedical computations;
Scientific simulation and uncertainty;
Numerical optimization: methods and applications;
Reduced order modeling;
Emerging trends in CS&E education and training.

Interests:

My research/academic interest is mostly based around the bioinformatics field with a concentration in agent-based modeling of infectious diseases. Development of computational simulations also falls under my interests, given that many biological processes tend to have a domino effect, and Computer Science allows me to organize those processes. Another research interest is biomedical engineering. I believe that all scientific finding should be used to improve the quality of life on earth and BE (biomedical engineering) is a very good formula to fulfill that goal.

Non-Work Related Activities/Interests:

My extracurricular activities include mostly student organizations. My main organization is the American Medical Student Association (AMSA), where I am currently the Web-master of my school’s chapter. AMSA is student-governed, national organization committed to develop the professional profile of physicians-in-training. Under AMSA I am able to do volunteer work and enhance my computational publishing skills. I am also part of the Information Technology (IT) program at my institution where I can apply my knowledge in bioinformatics, computer science and data analysis. Other activities include researching different topics and watching biology/computer science-based webinars.