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61+ < section >
62+ < h3 > Sourabh Palande</ h3 >
63+ < div class ="col-4 ">
64+ < figure class ="image fit "> < img src ="../images/headshots/sourabh-palande.png " alt ="Sourabh Palande "> </ figure >
65+ < figcaption > Data Scientist II </ figcaption >
66+ < p > Joined August 2023.</ p >
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85+ < section >
86+ < h3 > Education</ h3 >
87+ < ul >
88+ < li > Ph.D in Computing (Image Analysis), University of Utah
89+ </ li >
90+ < li > M.Sc in Applied Mathematics, University of Manchester
91+ </ li >
92+ < li > B.Sc. in Mathematics, University of Pune
93+ </ li >
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95+ </ section >
96+ < section >
97+ < h3 > Research Interests</ h3 >
98+ 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:
99+ < ul >
100+ < li > Extracting signatures (features) for machine learning, analysis, and visualization.</ li >
101+ < li > Developing learning algorithms that leverage the topology or geometry.</ li >
102+ < li > Utilizing topology and geometry to understand, interpret trained machine learning models.</ li >
103+ </ ul >
104+ 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.
105+
106+ <!-- <section>
107+ <h3>Other interests</h3>
108+ <p>Text</p>
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111+ <h3>Awards</h3>
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113+ Text
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161+ < li > © Christopher Topp [All rights reserved]</ li >
162+ < li > designed using Bootstrap 4.0</ li >
163+ < li > hosted on < i class ="fab fa-github "> </ i > </ li >
164+ <!-- TODO: correct link to source code -->
165+ < li > Source code available < a href ="https://github.com/Topp-Roots-Lab/Topp-Roots-Lab.github.io "> here</ a > </ li >
166+ < li > and maintained by the lab</ li >
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