Public Work


Giving conference presentations and trainings enriches my personal research opportunities and helps a nascent community develop an understanding for the subject matter.

Teaching

I lecture at the UC Berkeley School of Information, teaching a series of courses on Applied Machine Learning (W207) as part of the Master of Information and Cybersecurity (MICS) and Master of Information and Data Science (MIDS) graduate programs.

  • Summer 2019: Cyber W207. Applied Machine Learning for Cybersecurity
  • Fall 2019: Data Science W207. Applied Machine Learning
  • Fall 2019: Cyber W207. Applied Machine Learning for Cybersecurity
  • Winter 2019: Cyber W207. Applied Machine Learning for Cybersecurity

Conference Talks

Trainings/Workshops

Meetup Talks

Review Boards

  • Program committee member (review board) - AISec 2018 - 11th ACM Workshop on Artificial Intelligence and Security with the 25th ACM Conference on Computer and Communications (CCS) (Toronto, 19 Oct 2018)
  • Program committee member (review board) - AISec 2017 - 10th ACM Workshop on Artificial Intelligence and Security with the 24th ACM Conference on Computer and Communications (CCS) (Dallas, 3 Nov 2017)

Misc

  • Founder and previous co-chair of the AI Village at DEF CON
  • Founder and previous organizer of the “Data Mining for Cyber Security” meetup group.
    • Started from 0 in May 2015, 2.5k members as of Q2 2018
    • Typically physical attendance ranging from 30 to 300, online attendance (livestream, unique & transient) between 1000 to 3000
    • Speakers hail from large companies like Google/Facebook/LinkedIn/Netflix, as well as startups like Eventbrite, Area1 Security, Sift Science, Graphistry, DataVisor etc.