Otilia Stretcu
Mountain View, California, USA
I am a Senior Research Scientist at Google Research in Mountain View, California, working on machine learning research.
Previously, I was a PhD student in the Machine Learning Department at Carnegie Mellon University, co-advised by Tom Mitchell and Barnabàs Pòczos. My PhD research focused on developing algorithms for machine learning, mainly focused on semi-supervised learning, curriculum learning, multitask learning, and graph-based problems. I am also passionate about applying machine learning methods in neuroscience, in order to study how the brain understands language and controls speech. Previously, I did some research in Computer Vision, with the goal of detecting and tracking objects in videos.
Before I joined CMU, I graduated with an M.Phil. in Advanced Computer Science from the University of Cambridge, UK. In my Master's thesis I used Machine Learning methods to detect and align chromosomes in microscope images, advised by Pietro Lió.
news
Our work on Visual Program Distillation: Distilling Tools and Programmatic Reasoning into Vision-Language Models was selected for oral presentation at the CVPR 2024.
Our work on Agile Modeling: From Concept to Classifier in Minutes was nominated for best paper award at the NeurIPS 2023 Workshop on Adaptive Experimental Design and Active Learning in the Real World.
I joined Google as full-time research scientist.
Our work on meaning representation in the brain was accepted at NeurIPS 2020.
Our work on graph-agreement models for semi-supervised learning was accepted at NeurIPS 2019.
Organizing a workshop on Adaptive & Multitask Learning at ICML 2019.
Our work on curriculum learning for machine translation was accepted for oral presentation at NAACL 2019.
Thank you CMLH for the fellowship in digital health in support of our work on Parkinson’s disease.