Towards accelerating small molecule drug discovery with pre-trained, late fusion multi-view models
- 2024
- ACS Fall 2024
Elif Eyigoz has a multi-disciplinary background with degrees in Philosophy (BA), Cognitive Science (MA), Linguistics (MA), and Computer Science (MS and PhD), and as a believer of life-long learning, she is currently a graduate student at the department of Statistics at the Columbia University.
After she completed her PhD in Computer Science, she joined IBM in 2014 as a natural language processing (NLP) algorithms developer at Watson Labs, and later joined IBM research in 2016 as a researcher. Her current research interests include disease progression modeling and applications of NLP methods in accessing markers for mental disorders and neuro-degenerative conditions.