Leading an ML Team - Vision to Venture 2024
Resilient Machine Learning - Super Data Science 2023
How to Thrive in the AI Era - Culture of Code 2023
Resilient Machine Learning - The Observatory 2023
Productionizing Machine Learning - Abnormal Engineering Stories 2022
Resilient Machine Learning - Brown University Big AI Seminar 2022
Translating PhD Research into ML Applications - Super Data Science 2021
Kan Extensions for Generalizations - NYC Category Theory Seminar October 2021
Generalized Optimization - Categories and Companions Symposium June 2021
Category Theory in Machine Learning - Applied Category Theory 2021
Translating PhD Research into ML Applications - Super Data Science 2021
Categorical Stochastic Processes and Likelihood - Applied Category Theory 2020
Functorial Manifold Learning and Overlapping Clustering - NYC Category Theory Seminar December 2020
Machine Learning at Twitter - Super Data Science 2020
Life after Production, a Tale of Technical Debt - Banana Data Podcast 2019
Making Deep Learning Work on Messy Sensor Data - Deep Learning Summit Boston 2017
The Power and Pains of Sensor Data - ODSC East 2017
Changing Human Behavior Through a Driving App - Super Data Science 2017
Machine Intelligence for Driver Safety - Machine Intelligence Summit New York 2016