Update keynote

Author: Jiwon Chang

src/_includes/dbml26/keynote.njk

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             <h4 class="h5 mb-1">Amir Shaikhha</h4>
-            <p class="mb-2 text-muted"><em>Details to be announced.</em></p>
+            <p class="mb-1"><em>Associate Professor (Reader), University of Edinburgh</em></p>
+            <p class="mb-1"><strong>Optimizing Data Science by Leveraging Structure</strong></p>
+            <p class="mb-2">
+              Modern data science pipelines employ a variety of workloads going beyond relational query processing, including graph processing algorithms and tensor processing. This results in the use of loosely coupled data processing frameworks that move the data across the analytics pipeline, leading to unnecessary resource and energy consumption. This talk presents a compilation-based approach to move the computation closer to the data. This is achieved by designing domain-specific languages that leverage the structure of data with algebraic optimizations. We show that our proposed approach significantly outperforms state-of-the-art frameworks for a wide range of applications, including database query processing, tensor processing, and quantum simulation.
+            </p>
+            <p class="small text-muted">
+              Amir Shaikhha is an Associate Professor (Reader) in the School of Informatics at the University of Edinburgh. His research focuses on the design and implementation of data analytics systems by using techniques from the databases, programming languages, compilers, and machine learning communities. He was a Departmental Lecturer at the University of Oxford (2019-2020) before starting as an Assistant Professor (Lecturer) at the University of Edinburgh (2020-2024). He earned his Ph.D. from EPFL in 2018, for which he was awarded a Google Ph.D. Fellowship in structured data analysis, as well as a Ph.D. thesis distinction award. He has won the Best Paper Award at GPCE 2017, the Most Reproducible Paper Award at SIGMOD 2017, the Most Influential Paper Award at GPCE 2024, Google Research Scholar Award 2025, and Dahl-Nygaard Junior Prize 2025. He (co-)chaired the program committees of GPCE, DBPL, Scala, Sparse, and DRAGSTERS.
+            </p>
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