Invited Industry Talks

Academia, Startups, and Enterprise: A Cross-Analysis of Work and Goals (ODSC Europe, 2021)

Translating PhD Research into ML Applications(Super Data Science, 2021)

Machine Learning At Twitter (Super Data Science, 2020)

Life after Production, a Tale of Technical Debt (Banana Data Podcast, 2019)

AI Maturity in Industry (EGG NYC 2019)

Bigger Problems than Big Data (DSGO 2018, MWC Americas 2018)

Real World Data Science Strategy (ODSC East 2018, DSGO 2017, Global Big Data Conference 2017)

In the Lab: AI and Machine Learning for Media Industry (Variety Innovate Summit 2017)

Changing Human Behavior Through a Driving App (Super Data Science, 2017)

Making Deep Learning Work on Messy Sensor Data (MIT Lincoln Lab 2017, Deep Learning Summit Boston 2017)

The Power and Pains of Sensor Data (ODSC East 2017)

Machine Intelligence for Driver Safety (Machine Intelligence Summit New York 2016)

Academic Talks

Functorial Manifold Learning and Overlapping Clustering (NYC Category Theory Seminar December 2020)

Incremental Monoidal Categories (Category Theory Octoberfest 2019, NYC Category Theory Seminar November 2019)