Namyong Park
Postdoctoral Researcher at Meta AI
Email: park.namyong at gmail.com
About
I am a Postdoctoral Researcher at Meta AI, where I work on graph learning and machine learning. I received my PhD in Computer Science from Carnegie Mellon University, where I was advised by Prof. Christos Faloutsos. During my PhD, I also spent time at Adobe Research (2021), Microsoft Research (2020), and Amazon (2019, 2018) as a research intern. My PhD studies were supported by the Bloomberg Data Science PhD Fellowship and the ILJU Foundation PhD Fellowship.
Research Interests
Graph Learning, Machine Learning, Knowledge Graphs, Dynamic Networks, Representation Learning.
Publications
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- On Graph Time-Series Representations for Temporal NetworksThe ACM Web Conference (TheWebConf) 2023
- Dropout Prediction over Weeks in MOOCs by Learning Representations of Clicks and VideosAI4EDU (Artificial Intelligence for Education) Workshop at AAAI 2020
- Dropout Prediction over Weeks in MOOCs via Interpretable Multi-Layer Representation LearningAI4EDU (Artificial Intelligence for Education) Workshop at AAAI 2020
Education
- PhD in Computer Science, Carnegie Mellon University • Sep 2017–May 2022
- Advisor: Prof. Christos Faloutsos
- MS in Electrical Engineering and Computer Science, Seoul National University • Aug 2013
- Advisor: Prof. Robert Ian McKay
- BS in Computer Science and Engineering, Seoul National University • Aug 2010
Research & Work Experience
- Adobe Research, San Jose, CA • May 2021–Aug 2021
Research Intern - Microsoft Research, Redmond, WA • June 2020–Aug 2020
Research Intern - Amazon, Seattle, WA • May 2019–Aug 2019
Applied Scientist Intern - Amazon, Seattle, WA • May 2018–Aug 2018
Applied Scientist Intern - Seoul National University, Seoul, Korea • Oct 2015–Jul 2017
Research Staff • Data Mining Lab - SAP Labs Korea, Seoul, Korea • Jan 2015–Jan 2016
Software Developer - Fancy, New York, NY, USA (remote) • Aug 2013–Dec 2014
Software Engineer