Problem Solver
M Michael Barmada
I'm particularly interested in leveraging my experience in genetics, statistical methods, study design, and high-throughput computing, and my ability to blend solutions from multiple knowledge domains to address problems.
Areas M Michael Barmada is Knowledgeable in:
Bioinformatics ; computational genomics ; computational genetics ; genetic epidemiology ; optimal designs for genetic studies ; high-throughput computing for biomedical sciences ; data-intensive computing
Techniques M Michael Barmada Uses:
Mostly statistical methods (univariate and multivariate statistical techniques from the epidemiology and biostatistical realm, applied to genetic sequence data) and computational techniques (computer programming in pascal, C, C++, fortran, perl, and python, shell scripting, high-throughput pipelining)
M Michael Barmada's Problem Solving Skills:
- Genetic Epidemiology
- Statistical Genetics
- Computational Biology
- Bioinformatics
M Michael Barmada's Problem Solving Experience:
- I have developed and patented genetic screening technologies involving the use of multi-gene systems for risk prediction in pancreatitis
- I have worked on elucidating the genetic basis of common, complex human diseases for over 15 years now, engaging in projects on cardiovascular disease, diabetes, cancer, inflammatory bowel disease, kidney disease, migraine, pancreatitis, dental carries, premature birth, and neurologic diseases, to name a few. As part of these teams, I was often responsible for study design, data management and data cleaning, and statistical analyses, as well as for writing and presenting the research results to the scientific community
- I have developed pipelines and tools for working with next-generation sequencing data (including whole genome and whole exome data), mostly for clinical and research projects involving human subjects
- I have developed high-throughput computing solutions (clusters) for bioinformatics applications since 1996 using a variety of technologies and computing platforms (mostly unix-based)