Kim Lowell

Kim Lowell

Tell us about your background. 

I am someone who has long been interested in using advanced quantitative tools – especially in combination with geospatial tools like GIS, remote sensing, and spatial statistics -- to answer seemingly simple questions that, in fact, require complex analysis with imperfect data.  My background is natural resources/landscape management – M.Sc. and Ph.D. in Forest Biometrics – which led to professional work in complicated areas like carbon accounting and international policy, and economic valuation of ecosystem services.  I have been especially stimulated by collaborations with individuals outside my area of expertise such as economists, policy experts, extension specialists, hydrological modelers, anthropologists, and others.

 

What are your professional goals? 

I worked professionally as a research project and program leader prior to starting my M.Sc.  While working, my focus continued to be answering interesting questions regardless of the application domain – especially if this involved leveraging my unique skills in geospatial technologies.  The UNH M.Sc. in Analytics has been extremely useful in furthering this goal by allowing me to work in the areas of retail (examining the expansion strategy of a major restaurant chain), finance (identifying underperforming banks and credit unions), and health care (economically improving delivery to patients).

 

Tell us about an analytics project you have worked on in or out of the program that has enjoyed learning from?

Prior to starting the M.Sc. in Analytics, I completed a project to improve the accuracy of Australia’s national carbon accounts.  Australia uses a big data archive of continent-wide satellite imagery dating to 1973 to estimate the amount of carbon sequestered in forests.  I used a unique experimental design, time-series analysis, and machine learning to identify areas where forest carbon was being under- and over-estimated.  The results were used to improve the accuracy of forest maps and national carbon accounts.

 

What have you found valuable about the M.S. program thus far? Why did you choose to pursue a career in analytics?

The UNH M.Sc. in Analytics program has been everything I hoped for.  The program is rigorous, intensive, and well-structured, the instructors varied and dedicated, and the program staff supportive and accommodating.  And as someone who is interested in interesting questions regardless of the application domain, I have greatly appreciated the way the program is integrated with industry partners.

To learn more about Kim, connect with him on LinkedIn.

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