Diederik P. Kingma
e-mail: dpkingma [at] gmail [dot] com
I'm a Research Scientist at Google.
Before Google, I obtained a PhD (cum laude) from University of Amsterdam in 2017, and was part of the founding team of OpenAI in 2015.
I've worked on many topics within deep learning including many types of generative models, variational (Bayesian) inference, stochastic optimization, identifiability and other topics.
Some highlights are the Variational Auto-Encoder (VAE), a principled framework for generative modeling, and Adam, a widely used stochastic optimization method.
See my Google Scholar profile for a complete list of research papers.
My formal first name is Diederik, but people also call me Durk, which is a Frisian name that is pronounced like the English name Dirk.
I live in San Francisco.
- 2018 - Present: Senior Research Scientist at Google Research (San Francisco). I work on generative models, identifiability, among other topics.
- 2015 - 2018: Part of founding team and Research Scientist at OpenAI (San Francisco). Lead of the Algorithms team, focused on basic research.
- 2013 - 2017: Ph.D. (cum laude) at University of Amsterdam, advised by Max Welling, on the topic of deep learning and generative models. Thesis: Variational Inference and Deep Learning: A New Synthesis.
- 2010 - 2013: Co-founder of Advanza, a successful lead generation bussiness, sold in 2016.
- 2020: The AI 2000 Most Influential Scholar
Award "in recognition of outstanding and vibrant contributions in
the field of Machine Learning 2009-2019".
- 2019: The
Dutch Datascience Award, from the Royal Holland Society of Sciences and
Humanities, for my contributions in machine learning research.
- 2019: The
ELLIS PhD Award
for "outstanding research achievements during the dissertation phase of
outstanding students working in the field of artificial intelligence and
- 2017: PhD with 'cum laude', highest
distinction in the Netherlands, and first time it was awarded at the CS
department in 30 years.
- 2015: Google's first European
Doctoral Fellowship in Deep Learning.
Some research demos that I (co-)developed:
These places are updated more frequently than this website:
The end. Want more? Click one of the blue links.