Scholar
Volodymyr Kuleshov
Google Scholar ID: RY_t8XAAAAAJ
Cornell Tech
Citations & Impact
Citations
8,669
H-index
28
i10-index
47
Publications
20
Co-authors
16
list available
Contact
Publications
Cited
2
Resume (English only)
Academic Achievements
- He has been awarded the Google Research Scholar Award (2025), Outstanding Paper Award at EMNLP (2023), NIH MIRA Award (2023), NSF CAREER Award (2022), Best Paper Honorable Mention at AI for Climate Change at ICML (2019), and the Arthur Samuel Best Thesis Award in Computer Science from Stanford (2018).
Research Experience
- He is involved in commercializing his research on diffusion language models via Inception. Previously, he co-founded Afresh, a startup that uses AI to significantly reduce food waste, which is now deployed in about 10% of US supermarkets. His earlier work on genome sequencing was commercialized by the Stanford spin-off Moleculo and became part of Illumina's genome phasing service.
Education
- He obtained his PhD from Stanford University, where he was advised by Stefano Ermon, Serafim Batzoglou, Michael Snyder, Christopher Re, and Percy Liang, and received the Arthur Samuel Best Thesis Award.
Background
- His research focuses on machine learning and its applications in science, health, and sustainability. This involves two main directions: core research in machine learning, specifically generative models, probabilistic methods, diffusion-based language models, and decision-making under uncertainty; and the development of machine learning-based technologies that improve human and environmental health.
Miscellany
- He is also the creator of several online courses based on materials he co-authored at Stanford and Cornell. His videos and materials have received 150,000 YouTube views and over 450,000 website visits.
