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Research
Our students are
given the opportunity to participate in vibrant, novel research projects.
The success of any research is shown when the tools, approaches and
methods developed can serve as a conduit to finding solutions for specific
complex biomedical problems. Generic tools are most often unable to solve
complex problems, and the success of most solutions is based in
multidisciplinary approach teams. Our approach is to develop and nurture
multidisciplinary teams that will facilitate the sharing of knowledge and
will be able to apply their combined computational and biomedical
expertise to specific problems. A single group of either biomedical or
computational experts alone cannot solve these problems. Computational
experts do not have the necessary breadth of knowledge to understand the
underlying biological/chemical/biomedical backgrounds of the problem nor
the significance or lack thereof of specific discoveries. At the same
time, the computational tools and methods being developed by computer
scientists are evolving, quite complex to use, and need to be written
specifically for problems in the biomedical arena. A true merging of these
diverse fields will encourage the emergence of new tools, methods,
algorithms and approaches suitable for new applications in chemistry,
genomics and biological sciences. It is only after a tool has been tuned
and evolved to solve a particular problem that it can migrate for more
general use by scientists.
Our approach to biomedical research is to apply biology, chemistry,
computer science, mathematics, and statistics expertise to biomedical
problems. We define and target applied biomedical problems (from the field
of proteomics, genetics and clinical trials) through discussions and
presentations of researchers and scientists in the biology, chemistry, and
medical fields at UMass Lowell and UMass Medical Center. Our expertise in
computational tools, including visualization, machine learning, data
mining, mathematics, statistics and user interfaces is then applied to
these problems in collaboration with the applied researchers and
scientists. This feedback loop within the activity assures monitoring and
oversight of the research activity, in addition to building a general
understanding and knowledge of problems and processes to solving complex
problems. The results of this collaborative conduit benefit our students
greatly by having them participate in the real time solving of real
problems. While we are fulfilling a educational mission we are also
providing real solutions to biomedical problems, in addition to an
advancing of the integrated tools for specific and general biomedical
applications, as well as public domain data sets, techniques and processes.
Contact us - University
of Massachusetts Lowell
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Bioinformatics & Cheminformatics
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