Merge pull request #94 from sachiniyer/add-cs-profs

add some profs

docs/Opportunities/Internal/clubs.md

@@ -5,7 +5,7 @@ tags:
   - Tandon
   - Clubs
   - Student
-sidebar_position: 3
+sidebar_position: 4
 ---
 
 # Clubs

docs/Opportunities/Internal/labs.md

@@ -153,6 +153,8 @@ sidebar_position: 2
 
 - [Music and Audio Research Laboratory | NYU Steinhardt](https://steinhardt.nyu.edu/marl): Music and Audio Research Laboratory is an interdisciplinary center at the intersection of science, technology, music and sound, with research connecting a wide range of fields from computing and artificial intelligence, immersive experiences and algorithmic composition, to the latest advances in neuroimaging of the human brain. Our work focuses on (a) understanding and modeling the human cognitive and neural mechanism supporting music and sound processing, (b) innovating the analysis, organization and retrieval of acoustic data, and (c) advancing applications of high societal value in health, accessibility, creativity, and education.
 
+- [NYU Music Experience Design Lab](https://musedlab.org/): The NYU Music Experience Design Lab (MusEDLab) researches and designs new technologies and experiences for music making, creative learning and engagement together with students, educators, non-profit, and industry partners. We focus on lowering barriers to and promoting creative expressions of all people across the lifespan. With locations in Brooklyn and Shanghai, the MusEDLab actively seeks collaborators and partners in the US, Europe, and Asia.
+
 - [NYU CTED](https://www.nyucted.org/): The Center for Technology and Economic Development (CTED) focuses on the development of innovative and cutting-edge technologies to significantly impact economic development with a specific focus on problems faced in underdeveloped areas around the world. Spanning Africa, Asia, and the Gulf, CTED’s research covers economic theory, global labor markets, migration, and the impact of technology on development.
 
 - [Machine Learning for Good Laboratory](https://wp.nyu.edu/ml4good/): Our lab is focused on development of novel machine learning methods for addressing critical urban problems. By creating, deploying, and evaluating new methods in collaboration with public sector partners, we hope both to advance the state of the art in machine learning and to improve the quality of public health, safety, and security. We are particularly interested in solving challenging urban problems where off-the-shelf machine learning methods are insufficient and new innovations are required.