About me:
As a Senior Machine Learning Scientist at CVS Health, I specialize in leveraging Machine Learning to enhance healthcare for our customers.
I obtained my PhD from the School of Computer Science at Carnegie Mellon University (CMU), advised by Leila Wehbe. My research focused on the intersection of machine learning, natural language processing (NLP) and healthcare. In particular, I developed machine learning methods to increase our understanding of how our brains process real-world language, images, and environments in both health and disease states. Additionally, my expertise extends to developing machine learning methods for graph-based problems and causality.
Before joining CMU, I earned a MSc in Integrated Systems Biology from the University of Luxembourg and a MS in Interdisciplinary Natural Sciences (now known as Cancer Sciences) from the University at Buffalo, Roswell Park Cancer Institute. My Master’s thesis delved into pharmacogenomics, investigating the impact of Vitamin D on Prostate Cancer, advised by Barbara Foster.
With a Ph.D. with a focus on natural language processing and a diverse background in interdisciplinary research, my passion lies in propelling innovation in industry.
News
- April 2023: I am excited to join CVS Health as a Senior Machine Learning Scientist!
- June 2022: Presented a poster at OHBM 2022 (Organization for Human Brain Mapping annual meeting).
- March 2022: Presented a poster at COSYNE 2022 (Computational and Systems Neuroscience conference).
- January 2022: New paper that proposes a framework to enable causal inferences about the effects of complex stimuli in the brain was accepted to CLeaR 2022 (Causal Learning and Reasoning conference)!
- December 2021: Presented a flash talk at NMC4 (Neuromatch Conference 4).
- November 2021: Presented a virtual poster at SFN 2021 (Society for Neuroscience annual meeting).
- August 2021: Co-organizing brAIn seminar series at CMU.
- March 2020: Received CMLH (Center for Machine Learning and Health) fellowship in digital health.