calgaryml · yanii · Jan 27, 2026 · Jan 27, 2026 · Jan 27, 2026 · Jan 27, 2026
diff --git a/_bibliography/papers.bib b/_bibliography/papers.bib
@@ -1,18 +1,24 @@
 
 --- 2025
-@article{lasby2025reapexpertspruningprevails_preprint,
+@inproceedings{lasby2025reapexpertspruningprevails,
   title={REAP the Experts: Why Pruning Prevails for One-Shot MoE compression}, 
   author={Mike Lasby and Ivan Lazarevich and Nish Sinnadurai and Sean Lie and Yani Ioannou and Vithursan Thangarasa},
-  year={2025},
+  year={2026},
   EPRINTTYPE={arXiv},
   eprint={2510.13999},
   archivePrefix={arXiv},
   ARXIVID={2510.13999},
   primaryClass={cs.LG},
-  month={10},
-  year={2025},
-  ABBR={arXiv preprint},
-  journal = {arXiv preprint arXiv:2510.13999},
+  month={1},
+  year={2026},
+  BOOKTITLE = {{International Conference on Learning Representations (ICLR)}},
+  ABBR={ICLR},
+  VENUE = {{Rio de Janeiro, Brazil}},
+  EVENTDATE = {2026-04-23/2026-04-27},
+  openreview = {https://openreview.net/forum?id=ukGxWd2aDG},
+  pdf = {https://openreview.net/pdf?id=ukGxWd2aDG},
+  code = {https://github.com/CerebrasResearch/reap},
+  blog = {https://www.cerebras.ai/blog/reap},
   bibtex_show={true}
 }
 

diff --git a/_news/announcement_27_mike_borealis.md b/_news/announcement_27_mike_borealis.md
@@ -0,0 +1,7 @@
+---
+layout: post
+date: 2025-11-19 00:00:00-0700
+inline: true
+---
+
+Mike Lasby was announced as one of only 10 [RBC Borealis 2025 AI Fellows](https://rbcborealis.com/news/the-2024-2025-rbc-borealis-fellows-driving-the-future-of-ai/).
diff --git a/_news/announcement_27_tejas.md → _news/announcement_28_tejas.md b/_news/announcement_27_tejas.md → _news/announcement_28_tejas.md
diff --git a/_news/announcement_29_reap_ICLR.md b/_news/announcement_29_reap_ICLR.md
@@ -0,0 +1,8 @@
+---
+layout: post
+date: 2026-01-26 00:00:00-0700
+inline: true
+---
+
+[Mike Lasby's](/labmembers/) collaborative work with Cerebras, "REAP the experts: Why pruning prevails for one-shot moe compression" {% cite lasby2025reapexpertspruningprevails %}, has been accepted at the [International Conference on Learning Representations (ICLR), 2026](https://iclr.cc/Conferences/2026).
+This work explores the compression of Sparse Mixture of Experts (SMoE) models through expert compression techniques, demonstrating that REAP (Router-weighted Expert Activation Pruning) outperforms existing expert merging and pruning methods in terms of compressed model quality retention.
diff --git a/_people/manuel_zamudiolopez.md b/_people/manuel_zamudiolopez.md
@@ -3,12 +3,12 @@ layout: page
 firstname: Manuel
 lastname: Zamudio Lopez
 pronouns: he/him
-description: PhD Student co-supervised with <a href="https://profiles.ucalgary.ca/hamidreza-zareipour">Dr. Hamidreza Zareipour</a> (Fall 2022 - Present)
+description: PhD Student co-supervised with <a href="https://profiles.ucalgary.ca/hamidreza-zareipour">Dr. Hamidreza Zareipour</a> (Fall 2022 - Winter 2026)
 img: assets/img/people/manuel_zamudiolopez.jpg
 redirect: https://www.linkedin.com/in/manuel-zamudio
 orcid_id: 0009-0009-7460-8178
 linkedin_username: manuel-zamudio
 scholar_userid: 4eW8V0YAAAAJ
-category: PhD Students
+category: Alumni
 show: true
 ---