Solmaz Bagherpour
About Solmaz Bagherpour
Solmaz Bagherpour is a Senior Data Engineer at Modern Health, where she has worked since 2021. She has extensive experience in data science and engineering, having held positions at various organizations including Verana Health and Vida Health, and holds a Ph.D. in Artificial Intelligence.
Work at Modern Health
Solmaz Bagherpour has been serving as a Senior Data Engineer at Modern Health since 2021. In this role, she focuses on leveraging data to enhance mental health solutions. Her work involves developing data pipelines and implementing data management strategies to support the company's mission of improving mental health access and outcomes. Based in the San Francisco Bay Area, she contributes to a team dedicated to integrating technology with healthcare services.
Previous Experience in Data Science
Prior to her current position, Solmaz worked as a Senior Data Science Engineer at Verana Health from 2019 to 2021. In this role, she applied her expertise in data science to healthcare data, contributing to the development of analytics solutions. Before that, she was a Data Science Engineer at Vida Health from 2017 to 2019, where she focused on data-driven strategies to improve health outcomes. Her career began with roles in database administration and programming in Spain.
Education and Expertise
Solmaz Bagherpour holds a Doctor of Philosophy (Ph.D.) in Artificial Intelligence from Universitat Politècnica de Catalunya, where she studied from 2010 to 2017. She also earned a Master of Science (MSc) in Management Information Systems from Universiti Putra Malaysia between 2005 and 2008. Her educational background is complemented by a Bachelor's degree in Computer Software Engineering from Islamic Azad University. Her research interests include machine learning applications in medical sciences.
Research and Specialization
Solmaz specializes in data mining and classification methods, particularly in scenarios involving highly imbalanced data. Her work emphasizes instance-based and rule-based techniques. She is currently engaged in a consulting project as a Health Data Science Fellow at Insight Health Data Science, where she characterizes user bases for wearable technology. Her interdisciplinary approach integrates scientific methods and technology to enhance decision-making processes.
Teaching and Academic Involvement
In addition to her technical roles, Solmaz has experience in academia. She worked as a lecturer at LEGENDA EDUCATION GROUP in Malaysia from 2009 to 2010. Her academic journey includes a Ph.D. program focused on artificial intelligence, where she explored the intersection of technology and healthcare. This background informs her current work and interests in societal impact through interdisciplinary projects.