Biography
I am a research scientist on the generative models team at Google DeepMind. Previously, I was a Ph.D. student in the Amsterdam Machine Learning Lab (AMLab) and its AI4Science subgroup. I have also interned at Google DeepMind, Microsoft Research (AI4Science), and the Simons Foundation's Flatiron Institute. My research interests include generative models, scientific machine learning, and structured deep learning through geometric or time-series priors.
Research Interests
- Structured Deep Learning
- Generative Models
- Scientific Machine Learning
Education
Latest News
Joined the Google DeepMind Amsterdam team as a Research Scientist.
Rolling Diffusion Models and Clifford-Steerable Convolutional Neural Networks both got accepted to ICML!
Clifford Group Equivariant Simplicial Networks got accepted to ICLR 2024!
Gave an oral presentation (top 0.5% of submissions, top 2% of accepted papers) on Clifford-Group Equivariant Networks at NeurIPS.
Started my Student Researcher project with the Google DeepMind Amsterdam team.
Presented Geometric Clifford Algebra Networks at ICML 2023.
Joined the University of Amsterdam's Deep Learning 2 MSc course as a TA.
Presented a workshop paper at the Machine Learning For The Physical Sciences workshop at NeurIPS 2022.
I was selected as a top 10% reviewer for AISTATS 2022!
Started an internship at Microsoft AI4Science Amsterdam.
I was considered a top 8% reviewer for NeurIPS 2022.
Started a summer internship at Simon Foundation's Flatiron Institute.
Our paper Self-Supervised Inference in State-Space Models got accepted to ICLR 2022!
Joined the University of Amsterdam's Machine Learning 2 MSc course as a TA.
Joined the University of Amsterdam's Machine Learning 1 MSc course as a TA.