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Dhruba Chakraborty's CV
LaTeX Template: Curriculum Vitae Source: http://www.howtotex.com/ Feel free to distribute this template, but please keep the referal to HowToTeX.com. Date: July 2011 How to use writeLaTeX: You edit the source code here on the left, and the preview on the right shows you the result within a few seconds. Bookmark this page and share the URL with your co-authors. They can edit at the same time! You can upload figures, bibliographies, custom classes and styles using the files menu. If you're new to LaTeX, the wikibook is a great place to start: http://en.wikibooks.org/wiki/LaTeX
Workshop and examples for getting started with LaTeX, Tufts 2016 CSLOL
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Recognizing markets from natural language. For General Assembly lecture.
Introduction Future Work Introduction Our lab has been working on analyzing data on mast cell cancer in Guiding Eyes for the Blind dogs using R programming. This presentation will illustrate the work we have done so far and what we hope to accomplish in the upcoming weeks.
Abstract: Studying the impacts of climate change requires looking at a multitude of variables across a broad range of sectors [1,2]. Information on the variables involved is often unevenly available or offers different uncertainties [3,4], and a lack of uniform terminology and methods further complicates the process of analysis, resulting in communication gaps when research enterprises span different sectors. For example, models designed by experts in one given discipline might assume conventions in language or oversimplify cross-disciplinary links in a way that is unfamiliar for scientists in another discipline. Geospatial Semantic Array Programming (GeoSemAP) offers the potential to move toward overcoming these challenges by promoting a uniform approach to data collection and sharing [5]. The Joint Research Centre of the European Commission has been exploring the use of geospatial semantics through a module in the PESETA II project (Projection of economic impacts of climate change in sectors of the European Union based on bottom-up analysis).