Dr. Fiterau aims to build hybrid systems that learn expressive representations of multimodal, heterogeneous data for predictive models designed to interact with human users. Her research includes a wide variety of topics including deep learning for the fusion of multi-resolution time series, images and structured information, the incorporation of domain knowledge or saliency in imaging and integration of multiple views for MRI analysis. Most recently, her team has introduced new methods for normalizing flows and transfer of causal models.
Dr. Fiterau is especially interested in the use of machine learning systems for medical applications and has co-organized several NIPS workshops on this topic: MLCDA NIPS 2013, ML4CHG NIPS 2014, ML for Health 2016, ML for Health 2017.
Dr. Fiterau's current research focuses on modeling disease trajectories and forecasting clinical outcomes by integrating multi-resolution, irregularly-sampled time series and images. Dr. Fiterau is leading the IALS-funded project 4Thought aims to address one of the biggest needs in Alzheimer’s disease research: the ability to get an early diagnosis for this disease. Currently the disease progresses for many years prior to a diagnosis making it much more difficult to find therapeutic treatments for a significantly advanced disease. 4Thought encompasses the development of novel diagnostic technology based on brain structural MRIs, cognitive test scores and biomarkers. Dr. Fiterau's team is developing cutting-edge techniques for Alzheimer’s Disease forecasting, using hybrid deep learning methodology that leverages complex, multimodal data and domain knowledge. The project is also geared towards establishing a startup venture, with efforts supported by the UMass Institute for Applied Sciences.
Dr. Fiterau has completed a PhD in Machine Learning at Carnegie Mellon University in Fall 2015, where she was a member of the Auton Lab. Between Fall 2015 and Fall 2018, she was a Postdoctoral Fellow in the Mobilize Center at Stanford University. She has joined the College of Information and Computer Sciences at UMass in September 2018.