Email: minhnngu at usc dot edu

Minh Nguyen USC



I am a research assistant at University of Southern California (2014-2017), an IBM Science for Social Good fellow (2017) and a Vietnam Education Foundation fellow (2014).

I received my Msc at University of Southern California (2017) and BEng - Honor Program at Ho Chi Minh City University of Technology (2014).

I have been working in research projects funded by U.S. National Cancer Institute (NCI), National Institutes of Health (NIH), Department of Health and Human Services (HHS), and Department of Defense (DOD).

Currently, my research focuses on Artificial Intelligence, Visualization, HCI including Bias in AI, Machine Teaching, NLP and in Healthcare, Social Good domain.

Other Experiences: Intern at IBM Research (2017), teaching assistant of CSCI 585 - Database Systems (USC 2016 2017), Artificial Intelligence (HCMUT 2013), and intern at East Agile (2012).

NEWS:

  • [Jan 2018] I am leaving USC due to change of interest. Probably will go on traveling a little bit before catching up with the next stage of my research life. Gonna miss the Infolab-ers, my PIs and other Trojans so much! My USC Infolab farewell meeting: 1, 2.

  • [Dec 2017] I presented at NIPS2017 and got my MSc at USC! Yay!.

  • [Nov 2017] I attended ACAIA, and presented at ICDM2017.

  • [Oct 2017] Got accepted to WiML - NIPS 2017. I will present a poster @ NIPS2017

  • [Sep 2017] My demonstration paper got accepted to ICDM 2017.

  • [May 2017] I receive IBM Social Good fellowship - class of 2017!

  • [Mar 2017] I have posters presentation at IMSC Retreat 2017.

  • [Dec 2016] I am chosen to attend the CRA-W Grad Cohort 2017.

  • [Nov 2016] I have a podium presentation at AMIA 2016.

  • [Oct 2016] Our project ATOM-HP is on Forbes news: link_Forbes

  • [Oct 2016] Got the USC Scholarship and WiSE traveling award to go to Grace Hopper conference 2016 at Houston, Texas. Yay!

  • [Oct 2016] Our project ATOM-HP has a demo at THE WHITE HOUSE as part of Cancer Moonshot: SXSL. More details at #NBCNews: link_NBC

  • [Sep 2016] My paper: “m-TSNE: A Framework for Visualizing High-Dimensional Multivariate Time Series” got accepted to VAHC2016 in conjunction with AMIA2016.