Updated lab page and personal profile [SPP]

Author: sourabhpalande

lab.html

@@ -293,8 +293,8 @@ <h3>Lab members</h3>
                           <figcaption>view bio</figcaption>
                         </a>
                       </figure>
-                      <figcaption> <u>Sourabh Palande, PhD | Data Scientist II</u> </figcaption>
-                      <p>Joined August 2023.</p>
+                      <figcaption> <u><center>Sourabh Palande <br> Data Scientist II</center></u>
+                      <center>Image Segmentation and Analysis. <br> PhD. Joined August 2023.</center></figcaption>
                     </figure>
                     </figure>
                   </div>

profile/sourabh-palande.html

@@ -85,7 +85,7 @@ <h3>Sourabh Palande</h3>
                                 <section>
                                     <h3>Education</h3>
                                         <ul>
-                                            <li>Ph.D in Computing, University of Utah
+                                            <li>Ph.D in Computing (Image Analysis), University of Utah
                                             </li>
                                             <li>M.Sc in Applied Mathematics, University of Manchester
                                             </li>
@@ -95,13 +95,13 @@ <h3>Education</h3>
                                 </section>
                                 <section>
                                     <h3>Research Interests</h3>
-                                    Sourabh's research focuses on developing methods to exploit topology (shape) and geometry (structure) in different stages of a machine learning and/or data analysis pipeline. These methods typically fall into one of the following categories:
+                                    Sourabh's research focuses on developing methods to exploit topology (shape) and geometry (structure) in different stages of machine learning, and image / data analysis pipelines. These methods typically fall into one of the following categories:
                                     <ul>
                                         <li>Extracting signatures (features) for machine learning, analysis, and visualization.</li>
                                         <li>Developing learning algorithms that leverage the topology or geometry.</li>
                                         <li>Utilizing topology and geometry to understand, interpret trained machine learning models.</li>
                                     </ul>
-                                    Sourabh has applied these methods to address biomedical and biological reseach problems, and has experience working with imaging and network-structured data from these domains.
+                                    Sourabh has applied these methods to address biomedical and biological reseach problems, and has experience working with various imaging modalities and network-structured datasets from these domains.
 
                                 <!-- <section>
                                     <h3>Other interests</h3>