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Senior Data Scientist, Capital One

2020 - present

  • Do research on fair and explainable machine learning, including internal user studies and peer-reviewed work on methodological issues.
  • Educate other Capital One data scientists on best practices for responsible AI, in both text and talk formats.

Senior Technical Writer, Capital One

2019 - 2020

  • Write tutorials, conceptual guides, and other documentation for a Kubernetes cloud platform.
  • Write playbook for data scientists providing guidance on best practices for responsible AI.

Senior Technical Writer, Laserfiche

2017 - 2019

  • Create, manage, and edit diverse types of documentation, including user guides, configuration guides for systems administrators, and API tutorials for third-party developers.
  • Wrote text for user interfaces and provided recommendations on improving the user experience for these interfaces.
  • Research software features and user needs by interviewing product managers, support, developers, and sales engineers.
  • Promoted to Senior Technical Writer after 1.5 years for proposing and leading initiatives to improve user experience of online documentation.

Freelance API Technical Writer

Part-time, 2018

  • Write sample Python web applications and tutorials for MessageBird’s REST API. Click here and here for samples.

Editor, Research Square

Part-time, 2017 - 2019

  • Edit academic journal manuscripts for good English. Disciplines covered include physics, mathematics, and machine learning.

Postdoctoral Researcher/Teacher, University of Southern California

2015 - 2017

  • Designed writing courses for college freshmen, creating writing exercises of increasing difficulty and providing constructive feedback.
  • Worked on data science project that predicted restaurant’s ethnic categorization based on their non-food characteristics. Code and analysis publicly available on GitHub.

Researcher and Teacher, University of Pittsburgh

2009 - 2015

  • Independently planned and carried out multi-year research project, culminating in PhD dissertation.
  • Designed and taught courses on statistical reasoning, ethics, and history of philosophy.
  • Published peer-reviewed research on mathematical modeling strategies in quantum field theory.

Research Officer, Bioinformatics Institute (Singapore)

2007 - 2009

  • Used C++ and OpenCV to create a machine-learning algorithm for tracking breast cancer cells in videos.

Research Assistant, University of Chicago


  • Wrote Fortran programs to analyze data from a high energy physics experiment, estimating the probability of a rare particle decay.
  • Won award for physics research.


PhD, History and Philosophy of Science, University of Pittsburgh

2009 - 2015

  • Conceived of, planned, and managed complex research project on mathematical modeling techniques in quantum field theory.

BA, Physics, University of Chicago

2004 - 2007

  • Won prize for research in physics and two popular science writing prizes.