[MINOR] small bio tweaks

Author: hollydinkel

index.html

@@ -226,19 +226,19 @@ <h2>Invited Speakers</h2>
                 <strong>Short Bio:</strong> Jeannette Bohg is an Assistant Professor of Computer Science at Stanford
                 University. She was a group
                 leader at the Autonomous Motion Department (AMD) of the MPI for Intelligent Systems until September
-                2017. Before joining AMD in January 2012, Jeannette Bohg was a PhD student at the Division of Robotics,
+                2017. Before joining AMD in January 2012, Professor Bohg earned her Ph.D. at the Division of Robotics,
                 Perception and Learning (RPL) at KTH in Stockholm. In her thesis, she proposed novel methods towards
                 multi-modal scene understanding for robotic grasping. She also studied at Chalmers in Gothenburg and at
                 the Technical University in Dresden where she received her Master in Art and Technology and her Diploma
                 in Computer Science, respectively. Her research focuses on perception and learning for autonomous
                 robotic manipulation and grasping. She is specifically interested in developing methods that are
                 goal-directed, real-time and multi-modal such that they can provide meaningful feedback for execution
-                and learning. Jeannette Bohg has received several Early Career and Best Paper awards, most notably the
+                and learning. Professor Bohg has received several Early Career and Best Paper awards, most notably the
                 2019 IEEE Robotics and Automation Society Early Career Award and the 2020 Robotics: Science and Systems
                 Early Career Award.
                 <br>
-                <strong>Talk Title:</strong> Fine sensorimotor skills for using tools, operating devices, assembling
-                parts, and manipulating non-rigid objects.
+                <strong>Talk Title:</strong> Fine Sensorimotor Skills for Using Tools, Operating Devices, Assembling
+                Parts, and Manipulating Non-Rigid Objects
               </p>
 
             </div>
@@ -258,13 +258,15 @@ <h2>Invited Speakers</h2>
             <div class="col-md-9 text-left mb-4">
               <p>
                 <strong>Short Bio:</strong> Yunzhu Li is an Assistant Professor of Computer Science at Columbia
-                University. Prior to joining Columbia, he was an Assistant Professor in the Department of Computer
-                Science at the University of Illinois Urbana-Champaign. He completed a postdoctoral fellowship at the
-                Stanford Vision and Learning Lab, working with Fei-Fei Li and Jiajun Wu. Li earned his PhD from the
-                Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT, advised by Antonio Torralba and
-                Russ Tedrake, and his bachelor’s degree from Peking University.
+                University where he leads the Robotic Perception, Interaction, and Learning Lab (RoboPIL). Prior 
+                to joining Columbia, he was an Assistant Professor in the Department of Computer Science at the University of
+                Illinois Urbana-Champaign. He completed a postdoctoral fellowship at the Stanford Vision and Learning Lab,
+                working with Fei-Fei Li and Jiajun Wu. He earned his Ph.D. from the Computer Science and Artificial Intelligence
+                Laboratory (CSAIL) at MIT, advised by Antonio Torralba and Russ Tedrake, and his bachelor’s degree from
+                Peking University in Beijing. Professor Li's work is distinguished by best paper awards at ICRA and CoRL
+                and research and innovation awards from Amazon and Sony.
                 <br>
-                <strong>Talk Title: </strong> Learning structured world models from and for physical interactions.
+                <strong>Talk Title: </strong> Learning Structured World Models From and For Physical Interactions
               </p>
             </div>
             <hr style="width:100%;" />
@@ -282,14 +284,16 @@ <h2>Invited Speakers</h2>
             </div>
             <div class="col-md-9 text-left mb-4">
               <p>
-                <strong>Short Bio:</strong> Siyuan Huang is a Research Scientist at the Beijing Institute for General
-                Artificial Intelligence (BIGAI) and a lecturer at Peking University. He received his PhD in Statistics
+                <strong>Short Bio:</strong> Siyuan Huang is a Research Scientist at the Beijing Institute of Artificial 
+                General Initelligence (BIGAI) where he directs the BIGAI-UniTree Robotics Joint Laboratory of Embodied AI
+                and Humanoid Robots. He is also a lecturer at Peking University. He received his Ph.D. in Statistics
                 from the University of California, Los Angeles, and his bachelor’s degree in Automation from Tsinghua
-                University. During his PhD, he interned at DeepMind and Facebook Reality Lab. His research interests
+                University. During his Ph.D., he interned at DeepMind and Facebook Reality Lab. His research interests
                 span computer vision, machine learning, cognition, and robotics, with a focus on developing
                 generalizable, language-grounded models for perception, interaction, learning, and planning in 3D
                 environments.
-                <strong>Talk Title:</strong> TBA.
+                <br>
+                <strong>Talk Title:</strong> TBA
               </p>
             </div>
           </div>