I am a PhD student at AITHYRA advised by Alexander Tong. AITHYRA is a new research institute at the intersection of machine learning and life sciences led by Michael Bronstein and funded by the Boehringer Ingelheim Foundation. My focus is on geometric deep learning and flow-based generative models for dynamics-informed molecular design. I hold an MPhil in Machine Learning from Cambridge (Distinction) and a BSc in Mathematics from VU Amsterdam (Cum Laude).
My current interests include:
- Mathematical foundations of geometric machine learning and generative models
- Efficient and controllable generative modeling: methods with tractable likelihoods, fine-grained control, and discrete-continuous cogeneration
- Generative AI for molecular design: next-generation generative models (e.g., flow matching, diffusion) for dynamics-informed molecule design
- Efficient sampling: flow-based methods for high-dimensional Boltzmann distributions
- Continual learning via PEFT (e.g. LoRA) for baking factual knowledge and personalization
- Deep learning on weights: learning on model parameters, studying symmetries in weight space
I'm based in Vienna, where it's currently 00:00:00.
In my spare time, I run, swim, surf, lift, explore nature, eat, code, travel, and read.