I am a Software Engineer at Google Sunnyvale, a member of Google Compute Engine - VMX / Overcommitted VM families team (N and E families). Previously, I worked as a part of the SCAN Cloud Performance team. Before joining Google, I was a Ph.D. student at the School of Computer Science, Carnegie Mellon University advised by Greg Ganger. My general interests are in designing scalable systems for cluster management and cloud computing using performance analysis and machine learning.

Publications

• Estimating What US Residential Customers are Willing to Pay for Resilience to Large Electricity Outages of Long Duration
  Sunhee Baik, Alexander L. Davis, Jun Woo Park, Selin Sirinterlikci, M. Granger Morgan
  Nat Energy 5, 250–258 (2020)
• Stratus: virtual cluster scheduling in the public cloud
  Andrew Chung, Jun Woo Park, Gregory R. Ganger
  In Proc. of SOCC'18, Carlsbad, CA, October 2018
• On the diversity of cluster workloads and its impact on research results
  George Amvrosiadis, Jun Woo Park, Gregory R. Ganger, Garth A. Gibson, Elisabeth Baseman, Nathan DeBardeleben
  In Proc. of ATC'18, Boston, MA, July 2018
• 3Sigma: Distribution-based cluster scheduling for runtime uncertainty
  Jun Woo Park, Alexey Tumanov, Angela Jiang, Michael A. Kozuch, Gregory R. Ganger
  In Proc. of Eurosys'18, Porto, Portugal, April 2018
• TetriSched: Global Rescheduling with Adaptive Plan-ahead in Dynamic Heterogeneous Clusters
  Alexey Tumanov, Timothy Zhu, Jun Woo Park, Michael A. Kozuch, Mor Harchol-Balter, Gregory R. Ganger
  In Proc. of Eurosys'16, London, UK, April 2016
• Scaling Distributed Machine Learning with the Parameter Server
  Mu Li, Dave Andersen, Alex Smola, Junwoo Park, Amr Ahmed, Vanja Josifovski, James Long, Eugene Shekita, and Bor-Yiing Su
  In Proc. of OSDI'14, Broomfield, CO, USA, October 2014

Work Experience

• July 2019 - Present Software Engineer, Google Sunnyvale
• May 2016 - August 2016 Intern, Two Sigma Investments LP
• May 2014 - September 2014 Intern, Google Inc
• March 2013 - June 2013 Software Engineer, KulCloud
• March 2009 - March 2013 Financial Software Engineer, Korea Asset Pricing & Korea Ratings Co.(Formally Korea Bond Pricing & Korea Ratings Co.)

Education

• August 2013 - May 2019 Ph.D. in Computer Science, Carnegie Mellon University
• December 2016 M.S in Computer Science, Carnegie Mellon University
• August 2006 - May 2010 B.Sc (Hons.) in Electrical and Computer Engineering, Carnegie Mellon University

Past Life

In the past, I have worked on various things, such as Distributed Systems for Machine Learning and Sketching Algorithms in the earlier days of my graduate school studies.

Even before that, I was working as a financial software engineer for risk analysis and pricing of credit derivatives including Credit Default Swaps, Credit Linked Notes, and Synthetic CDOs, right after the financial crisis of 2008. This movie summarizes what I learned in the first few days of my work.

Social Media Disclaimer

The best way to reach out to me is through my email. The only social media account I use in a professional capacity is LinkedIn, but I may not read the inbox regularly or respond to messages. Please do not attempt to reach out to me through other social media accounts, as I strictly reserve them for personal use.

Also, I attest that

• I currently do not own any public Facebook or Instagram accounts.
• Any Facebook or Instagram accounts that attempt to pose as me publicly are impersonating me and I disavow and repudiate any content posted on those accounts.
• I have reached out to Meta for the removal of such accounts, but to this date, they are refusing to do so, as the accounts do not use my legal name to conduct their "business".