Update bio, CV, profile picture, research interests, and publications for Liam Pond

lab_members/index.html

@@ -144,7 +144,7 @@ <h3 class="people-title"> Masters </h3>
                 src="../assets/lab_members/thumbnail/placeholder.png" /></a></li>
           <li><a href="../lab_members/masters/liam_pond/">Liam Pond</a><a
               href="../lab_members/masters/liam_pond/"><img class="member_photo_list"
-                src="../assets/lab_members/thumbnail/LiamPondProfilePic.jpeg" /></a></li>
+                src="../assets/lab_members/thumbnail/LiamPond2026.jpg" /></a></li>
           <li><a href="../lab_members/masters/yuchia_kuo/">Yu Chia Kuo</a><a
               href="../lab_members/masters/yuchia_kuo/"><img class="member_photo_list"
                 src="../assets/lab_members/thumbnail/kyuchia_2023.JPG" /></a></li>

lab_members/masters/liam_pond/index.html

@@ -74,12 +74,12 @@
             <!-- DONE: add your name here -->
             <h1 style="text-align: left;" class="page-title">Liam Pond</h1>
             <!-- DONE: link your cv in the href attribute here, or comment this line out -->
-            <a href="../../../assets/lab_members/cv/CV_LiamPond_Mar2025.pdf"><img class="cv-icon" src="../../../assets/resume-document.png" /></a>
+            <a href="../../../assets/lab_members/cv/CV_LiamPond_Feb2026.pdf"><img class="cv-icon" src="../../../assets/resume-document.png" /></a>
             <!-- NOTE: make sure to add your pdf file to the assets/lab_members/cv directory -->
           </div>
           <div class="img-wrap">
             <!-- DONE: link your image here. If you want a placeholder image, leave as-is -->
-            <img class="profile-photo" src="../../../assets/lab_members/LiamPondProfilePic.jpeg"/>
+            <img class="profile-photo" src="../../../assets/lab_members/LiamPond2026.jpg"/>
             <div class="social-links">
               <!-- DONE: link your Github in the href attribute here, or comment out the entire <a> tag -->
               <a class="social__link" target="_blank" rel="noopener noreferrer" href="https://github.com/liampond">
@@ -137,23 +137,33 @@ <h1 style="text-align: left;" class="page-title">Liam Pond</h1>
                 <!-- What degree you are pursuing (ex: BSc in Computer Science, MA in Music Technology, PhD in Music Technology -->
               </p>
               <!-- DONE: add your current focus in the <p> tag here, or comment it out -->
-              <p class="focus">Music Theory Applications of In-Context Learning for Large Language Models (LLMs)</p>
-              <p class="focus">Singing Voice Synthesis</p>
+              <p class="focus">Performer Identification</p>
+              <p class="focus">Music Theory Applications of Large Language Models (LLMs)</p>
               <!-- Your main area of focus in research or work related to the lab. (Ex: Generative Adversarial Networks (GANs)) -->
             </div>
           </div>
           <div class="lab_member_bio">
-            <!-- TODO: add your bio in the <p> tag here. Visit https://ddmal.ca/lab_members/ for reference. -->
-            <p>Born and raised in Calgary, Canada, Liam Pond made his orchestral debut at age twelve on the harpsichord playing Bach’s F minor Concerto with the Kensington Sinfonia. Four years later, he performed the first movement of Rachmaninoff’s Piano Concerto No. 2 with the Calgary Civic Symphony, later winning first place in his age category at the Canadian Music Competition’s national finals. In 2023, Liam earned his bachelor’s degree from the University of Toronto, studying classical piano performance with Dr. Jamie Parker. In his graduation recital, he performed Ravel’s Gaspard de la nuit—often considered the most difficult work in the standard piano repertoire—and jazz improvisation based on classical themes, a skill he developed over the pandemic by watching YouTube videos. Liam is currently pursuing a master’s in music technology at McGill University and the Université de Montréal, where he has been teaching ChatGPT music theory. Outside his studies, he enjoys rock climbing, chess, fencing, and language learning.</p>
+            <!-- TODO: add your bio in the <p> tag here. Visit https://ddmal.music.mcgill.ca/lab_members/ for reference. -->
+            <p>
+              Born and raised in Calgary, Canada, Liam Pond made his orchestral debut at age twelve on the harpsichord, performing Bach’s F minor Concerto with the Kensington Sinfonia. Four years later, he performed the first movement of Rachmaninoff’s Piano Concerto No. 2 with the Calgary Civic Symphony and subsequently won first place in his age category at the Canadian Music Competition’s national finals.
+            </p>
+            <p>
+              In 2023, Liam earned his bachelor’s degree in classical piano performance from the University of Toronto under Dr. Jamie Parker. His graduation recital featured Ravel’s Gaspard de la nuit— often considered the most difficult work in the standard piano repertoire—alongside his own jazz improvisations, a skill he taught himself over the pandemic by watching YouTube videos.
+            </p>
+            <p>
+              He has also received numerous academic scholarships and awards, including $40,000 from the Fonds de recherche du Québec to support his thesis work developing a machine learning model to understand the stylistic nuances of different pianists. He has authored six peer-reviewed publications covering topics in computer science, music, engineering, and education. His research has taken him to conferences in South Korea (ISMIR 2025), Denmark (ICCCM 2025), Portugal (CSME 2025), and Japan (MEC 2026). Outside his studies, he enjoys rock climbing, photography, fencing, and language learning.
+            </p>
           </div>
           <div class="flex-wrap">
             <!-- TODO: add your research interests, each in their own <li> tag here, or comment out the entire <div> below -->
             <div class="research-interests">
               <h4 class="lab_member_subtitles">Research Interests</h4>
               <ul>
-                <li>In-Context Learning</li>
+                <li>Performer Identification</li>
                 <li>Large Language Models</li>
                 <li>Music Information Retrieval</li>
+                <li>Automatic Counterpoint Generation</li>
+                <li>In-Context Learning</li>
               </ul>
             </div>
             <!-- DONE: add your previously pursued degrees and respective universities, each in their own <li> tag here, or comment out the entire <div> below -->
@@ -170,6 +180,8 @@ <h4 class="lab_member_subtitles">Academic Record</h4>
           <div class="publications">
             <h4 class="lab_member_subtitles">Publications </h4>
             <ul>
+              <li>Pond, Liam, Tace McNamara and Ichiro Fujinaga. Forthcoming. “The Benchmark for Encoding Assessment in Music (BEAM-LLM): Evaluating LLM Performance in Symbolic Music Parsing” In Proceedings of the Music Encoding Conference 2026. Tokyo, Japan.</li>
+              <li>Pond, Liam, and Ichiro Fujinaga. 2025. “Teaching LLMs Music Theory with In-Context Learning and Chain-of-Thought Prompting: Pedagogical Strategies for Machines.” In Proceedings of the 17th International Conference on Computer Supported Education – Volume 1: CSME, 671–681. Porto, Portugal. <a style="font-size: 16px; padding-top: 1px; margin-bottom: 16px;" href="https://doi.org/10.5220/0013506100003932" target="_blank" rel="noopener noreferrer">https://doi.org/10.5220/0013506100003932</a>.</li>
               <li>Saini, Vinay, Liam Pond, Jackson Uhryn, Albert Kalayil, Aditya Tomar, Kasimuthumaniyan Subramanian, Milana Trifkovic, and Philip Egberts. 2025. “Shear-Dependent Tribological Behavior of Oleic Acid as a Sustainable Lubricant Additive in Oils and Nano-Greases.” Wear: 205932. <a style="font-size: 16px; padding-top: 1px; margin-bottom: 16px;" href="https://doi.org/10.1016/j.wear.2025.205932" target="_blank" rel="noopener noreferrer">https://doi.org/10.1016/j.wear.2025.205932</a>.</li>
               <li>Burt, Lauren A., Liam T. Pond, Annabel R. Bugbird, David A. Hanley, and Steven K. Boyd. 2025. “Canadian Adult Reference Data for Body Composition, Trabecular Bone Score and Advanced Hip Analysis Using DXA.” Journal of Clinical Densitometry 28 (1): 101535. <a style="font-size: 16px; padding-top: 1px; margin-bottom: 16px;" href="https://doi.org/10.1016/j.jocd.2024.101535" target="_blank" rel="noopener noreferrer">https://doi.org/10.1016/j.jocd.2024.101535</a>.</li>
               <li>Abid, Noor, Liam Pond, and Svetlana Yanushkevich. 2024. “Causality Exploration in Modeling Engineering Student Satisfaction.” In Proceedings of the 2024 IEEE Global Engineering Education Conference (EDUCON), 1–10. Kos, Greece. <a style="font-size: 16px; padding-top: 1px; margin-bottom: 16px;" href="https://doi.org/10.1109/EDUCON60312.2024.10578860" target="_blank" rel="noopener noreferrer">https://doi.org/10.1109/EDUCON60312.2024.10578860</a>.</li>