- Explaining a black-box model's decisions
- Debugging as a science
- RC Lightning Talks, SF (March 14, 2019)
- Internal tech talk, Stripe, SF (longer version, "Software as a Science" -- September 13, 2018)
- Evaluating models without evaluation data
- startup.ml, SF (September 10, 2016)
- Seminar for Biostatistics MA students at UC Berkeley (April 2, 2019)
- Infra for keeping users safe
- Women in Infrastructure Meetup, SF (May 9, 2019)
- Fighting fraud with machine learning
- Deflect Risk Conference, SF (May 18, 2017) - also included parts of other talks linked here.
- Coinbase HQ, SF (July 28, 2017)
- Stripe Machine Learning Meetup, London (March 20, 2017)
- StitchFix Multithreaded speaker series, SF (August 23, 2016)
- Joint Statistical Meetings, in a poster session on the "extraordinary power of statistics," Chicago (July 31, 2016)
- Stripe Machine Learning Open House, SF (June 15, 2016)
- Practical solutions to annoying machine learning problems
- DataEngConf, SF (April 28, 2017)
- Am I a data scientist?
- Joint Statistical Meetings, Seattle (August 11, 2015)
- High-resolution gene expression analysis
- PhD thesis defense, Baltimore (February 17, 2015)
- Case studies in genomic data science: RNA-seq analysis beyond gene counting
- job talk for tenure-track position in a biostat department, Minneapolis (December 15, 2014)
- Tackling big questions with gene expression data
- job talk for industry data scientist position, Menlo Park (October 23, 2014)
- Engineering annotation-agnostic tools for differential expression analysis
- European Conference on Computational Biology, Strasbourg, France (September 7, 2014)
- Adventures in computational biology
- given to a group of high school students in a bioinformatics summer program at Johns Hopkins, Baltimore (July 17, 2014)