Scholar
Rodolphe JENATTON
Google Scholar ID: QIR6rygAAAAJ
CTO at Bioptimus
Citations & Impact
Citations
6,728
H-index
33
i10-index
47
Publications
20
Co-authors
25
list available
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Area chair for ICML 2021, 2022; NeurIPS 2020, 2023; ICLR 2021, 2022, 2023, 2024; published numerous journal papers in journals such as the Journal of Machine Learning Research and SIAM Journal on Matrix Analysis and Application; also contributed to several conference papers.
Research Experience
- Served as a postdoctoral researcher at Ecole Polytechnique with Alexandre d'Aspremont from 2011 to 2012; worked for Criteo from January 2013 until May 2014, improving the statistical and optimization aspects of the ad prediction engine; was a senior machine learning scientist at Amazon, Berlin, focusing on online learning, Bayesian optimization, and auto ML until April 2019; then a senior research scientist in the Google DeepMind team in Berlin until December 2023; currently CTO at Bioptimus.
Education
- Completed his Ph.D. in 2011 within the Sierra Team of the Département d'Informatique of École Normale Supérieure, co-supervised by Francis Bach and Jean-Yves Audibert.
Background
- Research interests revolve around machine learning, statistics, optimization, sparsity, auto-ML, and uncertainty modeling in neural networks. Particularly excited by how foundation models can help understand the inner workings of biology.
Miscellany
- Contact: rj X bioptimus Y com (with X=@ and Y=.); links to Google Scholar, dblp, and LinkedIn provided.
