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                <h2>Software development</h2>
                <!-- <p>as the central elements of galaxies and as probes of cosmic structure formation. </p> -->
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                      <h2>Development of software and tools for astronomical research </h2>
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                  <p> I commonly develop my own data reduction and analysis tools and provide them as open-source software packages for the astronomical community via github.
                      <br>
                  You can find my personal github account here: <a href="https://github.com/jtschindler" target="_blank" rel="noopener noreferrer" class="icon brands major fa-github"><span class="label">Github</span></a>
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                    <h2>Sculptor</h2>
                    <h3>Interactive modeling of astronomical spectra.</h3>
                    <p>I have developed <i><strong>Sculptor</strong></i> as a high level API and Graphical User Interface around LMFIT tailored
                        specifically for the analysis of astronomical spectra. This package is designed to facilitate
                        reproducible scientific results and easy to inspect model fits in an open source framework.
<!--                        For this purpose the Sculptor package introduces four core python modules and a Graphical User Interface for interactive control:</p>-->
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<!--                      <li> <strong>SpecOneD:</strong>The SpecOneD module introduces the SpecOneD class, which is designed to store and manipulate 1D astronomical spectral data. </li>-->
<!--                      <li><strong>SpecFit:</strong> The core module of Sculptor introducing the SpecFit class, which holds complex models to fit to the 1D astronomical spectrum.</li>-->
<!--                      <li><strong>SpecModel:</strong> A helper class, which holds one complex spectral model, which can consist of multiple pre-defined or user-defined model functions to be fit to the 1D spectrum.</li>-->
<!--                      <li><strong>SpecAnalysis:</strong> A module focused on the analysis of continuum models of models of emission/absorption features. It interfaces with the SpecFit class and streamlines the process of analyzing the fitted spectral models.</li>-->
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                  <p>At the heart of the <i><strong>Sculptor</strong></i> package is the <ins>Graphical User Interface</ins>,
                      which offers interactive control to set up and combine multiple spectral models to fully fit the
                      astronomical spectrum of choice.
<!--                      This includes masking of spectral features, defining fit regions,-->
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<!--                      (e.g., to couple the FWHM of multiple emission/absorption lines).</p>-->
                  <h4>Download/Installation/Documentation</h4>
                  <p>The open-source <i><strong>Sculptor</strong></i> python package is available on github: <br> <a href="https://github.com/jtschindler/sculptor" target="_blank" rel="noopener noreferrer">https://github.com/jtschindler/sculptor</a> <br>
                  Full documentation is provided at: <br> <a href="https://sculptor.readthedocs.io/en/latest" target="_blank" rel="noopener noreferrer">https://sculptor.readthedocs.io/en/latest</a></p>
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                      <h2>PypeIt</h2>
                      <h3>A Python package for semi-automated reduction of astronomical spectroscopic data.</h3>
                    <i>"PypeIt is designed to be used by both advanced spectroscopists with prior data reduction expertise
                        and astronomers with no prior experience of data reduction. It is highly configurable and designed
                        to be applied to any standard slit-imaging spectrograph, including long-slit, multi-slit, as well
                        as cross-dispersed echelle spectra."</i> - The PypeIt Developers
                        <br> <br>
                        I am a co-developer of the PypeIt package integrating the LBT/LUCI spectrographs into their suite
                        of instruments. <br> <br>
                    <h3>Download/Installation/Documentation</h3>
                    <p>The open-source <i><strong>PypeIt</strong></i> python package is available on github: <br> <a href="https://github.com/pypeit/PypeIt" target="_blank" rel="noopener noreferrer">https://github.com/pypeit/PypeIt</a> <br>
                    Full documentation is provided at: <br> <a href="https://pypeit.readthedocs.io/en/release/" target="_blank" rel="noopener noreferrer">https://pypeit.readthedocs.io/en/release/</a></p>
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