Merge pull request #345 from mengwanguc/main

add meng wang profile

content/authors/mengwanguc/_index.md

@@ -0,0 +1,49 @@
+---
+# Display name
+title: Meng Wang
+
+# Username (this should match the folder name)
+authors:
+- mengwanguc
+
+# Is this the primary user of the site?
+superuser: false
+
+# Role/position
+role: PhD Student, University of Chicago
+
+# Organizations/Affiliations
+organizations:
+- name: Department of Computer Science
+  url: "https://cs.uchicago.edu/"
+- name: University of Chicago
+  url: "https://www.uchicago.edu/"
+
+# Short bio (displayed in user profile at end of posts)
+bio: Meng Wang is a Ph.D. candidate in the Department of Computer Science at the University of Chicago. His research focuses on enhancing the performance and dependability of storage systems in cloud, HPC, and ML environments. 
+
+# Social/Academic Networking
+# For available icons, see: https://sourcethemes.com/academic/docs/widgets/#icons
+#   For an email link, use "fas" icon pack, "envelope" icon, and a link in the
+#   form "mailto:[email protected]" or "#contact" for contact widget.
+social:
+- icon: envelope
+  icon_pack: fas
+  link: mailto:[email protected]
+- icon: home
+  icon_pack: fas
+  link: https://people.cs.uchicago.edu/~wangm12/
+
+
+# Enter email to display Gravatar (if Gravatar enabled in Config)
+email: ""
+
+# Organizational groups that you belong to (for People widget)
+#   Set this to `[]` or comment out if you are not using People widget.  
+user_groups:
+- Summer of Reproducibility Mentors
+---
+Meng Wang is a Ph.D. candidate in the Department of Computer Science at the University of Chicago under the guidance of Professor Haryadi S. Gunawi. His research focuses on enhancing the performance and dependability of storage systems, with a primary emphasis on three areas:
+- Firstly, he aims to improve the system performance stability by mitigating tail latencies in cloud storage systems.
+- Secondly, he specializes in designing and analyzing erasure coding techniques to improve the fault tolerance of large-scale storage systems.
+- Lastly, he is working on optimizing the storage layer of machine learning training systems.