Valentina D'souza
About Valentina D'souza
Valentina D'souza is a Machine Learning Engineer currently working at the Broad Institute of MIT and Harvard. She has a background in biomedical engineering and data science, with research experience in healthcare applications, particularly in personalized medicine and predictive modeling.
Current Role at Broad Institute
Valentina D'souza is currently employed as a Machine Learning Engineer at the Broad Institute of MIT and Harvard. She has been in this role since 2023, contributing to projects that leverage machine learning techniques in the field of computational biology. Her work focuses on enhancing data-driven approaches to healthcare.
Previous Experience in Healthcare and Research
Valentina has accumulated diverse experience in healthcare and research roles. She worked as a Graduate Student Research Assistant at the Kennedy Krieger Institute from 2022 to 2023, where she conducted research on high-frequency physiologic intracranial pressure waveforms. Additionally, she served as a Teaching Assistant at The Johns Hopkins University in 2022 and had internships at Siemens Healthineers and Saifee Hospital in 2019.
Educational Background in Biomedical Engineering
Valentina studied Biomedical Engineering with a focus on Data Science at The Johns Hopkins University, earning her Master of Science in Engineering (MSE) from 2021 to 2023. She also holds a Bachelor of Engineering (BE) in Biomedical Engineering from Thadomal Shahani Engineering College, completed in 2021. Her foundational education includes secondary schooling at Holy Cross Convent School and higher secondary education at Vidyavardhini's Junior College.
Research Contributions and Projects
Valentina has been involved in significant research projects, including the analysis of high-dimensional Chemical Saturation Transfer (CEST) MRI images using machine learning. This project aimed to expedite the quantification process of small metabolites in the brain. Her research interests lie in applying data science and machine learning to enhance personalized medicine and predictive disease modeling.
Skills and Expertise in Machine Learning
With approximately three years of research experience, Valentina possesses expertise in data science, machine learning, high-dimensional data preprocessing, and deep learning. Her motivation is driven by the potential of these technologies to improve personalized care and develop predictive models in healthcare.