Curriculum Vitae

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Here is a broad overview of what I've done and where I've been.
A denser, less-frequently-updated PDF version can be found here.

Academic Positions

• Ph.D. in Societal Computing, 2019 - 2025.
  Carnegie Mellon University, Pittsburgh, PA, USA.
  Thesis: Approaches to Make Anomaly Detection More Effective for Industrial Control Systems
  Advisor: Prof. Lujo Bauer

• M.Sc. in Computer Science, 2016 - 2018.
  University of British Columbia, Vancouver, BC, Canada.
  Thesis: Dancing in the Dark: Multi-Party Machine Learning in an Untrusted Setting
  Advisor: Prof. Ivan Beschastnikh

• B.A.Sc. in Systems Design Engineering, 2011 - 2016.
  University of Waterloo, Waterloo, ON, Canada.
  

Selected Work Experience

• Machine Learning Research Intern, May 2023 - August 2023.
  Bosch Center for AI, Pittsburgh, PA, USA.
  

• Software Engineer, January 2019 - July 2019.
  Oasis Labs, Berkeley, CA, USA.
  

• Software Engineering Intern: Search, Network and Analytics, June 2015 - August 2015.
  LinkedIn Corporation, Sunnyvale, CA, USA.
  

• Software Engineering Intern: Distributed Data Systems, September 2014 - December 2014.
  LinkedIn Corporation, Mountain View, CA, USA.
  

• Software Engineering Intern: Server, January 2014 - April 2014.
  Voicebox Technologies, Bellevue, WA, USA.
  

• Research Assistant: Boutros Lab, May 2013 - August 2013.
  Ontario Institute for Cancer Research, Toronto, ON, Canada.
  

Teaching

While at CMU, I served as a teaching assistant for the following courses:

• 17-331/17631 - Information, Security, Privacy & Policy, Fall 2024
• 11-667 - Large Language Models Methods and Applications, Fall 2023

While at UBC, I served as a teaching assistant for the following courses:

• DSCI 571 - Supervised Learning, Fall 2018
• DSCI 523 - Data Wrangling, Fall 2018
• CPSC 340 - Machine Learning and Data Mining, Winter 2018
• CPSC 340 - Machine Learning and Data Mining, Fall 2017
• CPSC 210 - Software Construction, Winter 2017
• CPSC 210 - Software Construction, Fall 2016

I completed the CMU Eberly Future Faculty Program in 2025.
I received the UBC Computer Science Graduate TA Award in 2018.

Advising

I am advising or have advised the following students on term-long research projects:

• Denis Wambold (KIT MS Thesis, visited CMU Fall '25)
• Henry Wong (CMU Summer '24, Fall '24, Spring '25)
• Karen Li (CMU Fall '23, Spring '24)
• Stanley Chen (CMU Spring '23)
• Sneha Rander (CMU Fall '22)
• Jeneel Mashru (CMU Fall '22)
• Kevin Li (CMU Fall '21)
• Shreya Srinarasi (CMU Summer '21)
• ESORICS '22
• Chris J.M. Yoon (UBC Summer '18, Fall '18)
• RAID '20, TPDS '21
• Syed Mubashir Iqbal (UBC Summer '17)
• Jaime Koerner (UBC Spring '17)