Merge pull request #131 from shuds13/main

Add Wells talk

Author: rafaelfsilva

_data/speakers.yml

@@ -150,3 +150,15 @@
   talk_num: 10
   photo: janssen.jpg
   bio: "Jan Janssen is the group leader for Materials Informatics at the Max Planck Institute for Sustainable Materials. His group focuses on applying methods from computer science including machine learning to discover novel sustainable materials with applications ranging from machine-learned interatomic potentials to large language model agents for atomistic simulation. Previously, Jan was a director’s postdoctoral fellow in the T-division at Los Alamos National Laboratory as part of the Exascale Computing Project as well as an invited postdoctoral fellow at the University of Chicago and the University of California Los Angeles. Besides his research work, Jan is the lead developer of the pyiron atomistic simulation suite, maintains over 1000 open-source materials informatics software packages for the conda-forge community and is a regular contributor to open-source software on Github."
+
+- name: Patrick Wells
+  role: Postdoctoral Appointee at ANL
+  institution:
+    - name: Argonne National Laboratory
+      link: https://www.anl.gov
+      image: argonne.png
+  country: us
+  link: https://www.anl.gov/profile/patrick-wells
+  talk_num: 11
+  photo: wells.jpg
+  bio: "Patrick Wells is a postdoctoral appointee at Argonne National Laboratory who designs and builds tools to simplify access to large-scale cosmological datasets. He joined Argonne in 2024 after completing his PhD in Astrophysics from the University of California, Davis, where he worked on measuring the expansion rate of the universe by extracting information from galaxy surveys. His primary computational interests include data management and workflow orchestration, and he has scientific interests in large-scale structure cosmology and gravitational lensing."

_talks/2026_02_18.html

@@ -0,0 +1,30 @@
+---
+layout: talk
+title: "Collaborative Cosmology at Scale with the OpenCosmo Platform"
+authors: Patrick Wells (Argonne National Laboratory)
+event_date: February 18, 2026
+times: 11:00am PST / 2:00pm EST / 20:00 CEST
+talk_number: 11
+given: false
+<!-- image: /images/talks/wells-banner.jpg -->
+<!-- presentation: /files/talks/20260218-Wells-OpenCosmo.pdf -->
+<!-- video:  -->
+---
+
+As with many other areas of science, the quantity and quality of available 
+cosmological data has exploded in recent years. This increase undoubtedly 
+presents tremendous scientific opportunity. But accessing and analyzing this 
+data at scale presents real challenges, especially for scientific users who 
+are not familiar with HPC or big-data workloads.
+
+<br /><br />
+
+The OpenCosmo project exists to build a domain-specific abstraction layer on top 
+of the cosmological datasets and computing resources housed at various DoE 
+facilities. It aims to allow scientific users to describe which data they want 
+and what analysis they would like to perform, without knowing or caring which 
+facility the work is being performed at. The platform is a specific example of 
+a more general trend towards "Science as a Service" tools that are cropping up 
+in many different domains. Understanding the shared patterns and infrastructure 
+needs of these tools is essential to ensure their viability and continued 
+success.