Excited to be presenting recent work on interpretable reward modeling for LLMs in RLHF, self-supervised learning to leverage multiple modalities in medical domains, uncertainty estimation in variational networks, and on predictive models in healthcare. Checkout the preprints!
Excited to be presenting part of our latest work on 3D generative models, an information theoretic view of interpretability, and on predictive models in healthcare. Checkout the preprints!
I presented my PhD research as an invited speaker at the Microsoft Cambridge ML Seminar Series, very happy about this opportunity.
Selected candidate to participate in the Spring into Quant Program hosted by G-Research. Grateful for the insightful week learning about Machine Learning in Quant research and engaging workshops, talks and speakers!
Will be working on alignment of LLMs with Prof. Mihaela Van der Shaar.
Organizer of the workshop in the World Conference on XAI.
Looking forward to the submissions!
We explore (i) interpretable capabilities of generative models, and (ii) a real-world clinical application of newborn screening. Checkout the preprints!
Checkout the preprints.
So excited to be working on the AR&VR team!