Doron Haviv's Personal Website

I am Doron דורון (means ‘gift’ in Hebrew), a machine learning scientist at Genentech, working in BRAID on AI models for genomics. Before that, I was a PhD candidate at the Dana Pe’er Lab at Memorial Sloan Kettering Cancer Center, through Cornell University’s Tri-Institutional PhD program in Computational Biology. My research mainly revolves around optimal transport & spatial transcriptomics.
I studied Physics and Electrical Engineering at Technion, and graduated with two degrees in 2018. My undergraduate thesis was published at ICML2019.
Reach me at doron ‘dot’ haviv12 ‘at’ gmail ‘dot’ com
news
May 01, 2025 | Wasserstein Flow Matching was accepted to ICML2025! |
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May 01, 2024 | Wasserstein Wormhole was accepted to ICML2024! |
Apr 02, 2024 | ENVI is now published in Nature Biotechnology! |
selected publications
- Wasserstein Flow Matching: Generative modeling over families of distributionsarXiv preprint arXiv:2411.00698, 2024
- Wasserstein Wormhole: Scalable Optimal Transport Distance with TransformersIn International conference on machine learning , 2024
- The covariance environment defines cellular niches for spatial inferenceNature Biotechnology, 2024