People

Work with us

We have some positions available for graduate students and Postdoctoral researchers. Please email Abel if you are interested on working with us.

health.data DRIVEN Lab members

Abel Torres Espín

Abel Torres Espin Principal Investigator
Assistant Professor, University of Waterloo, Waterloo Adjunct Professor, University of Alberta, Edmonton Assistant Adjunct Professor, University of California San Francisco

Bio

I was born in Mataró, a city close to Barcelona in Spain. I studied biology at the Universitat de Barcelona from 2002 to 2007. With interest in neuroscience, I began my PhD in 2008 at the Universitat Autonoma de Barcelona under the supervision of Dr. Xavier Navarro. I moved to Canada in 2014 for a postdoctoral position at the University of Alberta in Edmonton under the supervision of Dr. Karim Fouad. Here, I worked on the interaction between neuroinflammation and rehabilitation after spinal cord injury. From November 2018 to 2020, I worked at the University of California San Francisco (UCSF) in a team led by Dr. Adam Ferguson, on the application of data science to accelerate neurological research and translation. In 2020, I was hired at UCSF as an Assistant Adjunct Professor in the Department of Neurological Surgery. Since August 2023 I hold an Assistant Professor position at the University of Waterloo in Canada.

Research interest

My broad work is in the application of data science methods to health research. I am interested in conceptualizing health and disease as complex multi-domain (e.g., biological, medical, psychological, social, technological), multi-level (e.g., molecular, individual, and population), and dynamic process. I focus on applying health data science, and machine learning solutions, integrating diverse data resources to answer health-related questions and inform practice. With increasing health and healthcare challenges, the growing availability of digital health data provides unprecedented opportunities to study this complexity and inform precise evidence-based practice and policies. My research has focused on the health context of complex heterogeneous population such as spinal cord injury, traumatic brain injury, dementia, and chronic low back pain, resulting in tremendous individual and societal costs. I am also interested in analytical and computational methods, multivariate statistics, the reproducibility and replicability of research, and real-world evidence

Marzieh Mussavi Rizi

Marzieh Mussavi Rizi Postdoctoral Fellow
University of Waterloo, Waterloo

I am a postdoctoral fellow at the University of Waterloo, working under the guidance of Professor Abel Torres Espin. My research is centered around personalized medicine and causal inference, specifically implementing machine learning methods for precision medicine concerning spinal cord injury. Prior to this, I earned my Ph.D. in biostatistics from the University of Waterloo, where my focus was on dynamic treatment regimes. In general, my interest lies in the application of statistical methods to address novel challenges within the realm of interdisciplinary problem-solving.

Vladyslav Shein

Vladyslav Shein Graduate Student
University of Waterloo, Waterloo

Vladyslav is a master’s student in Public Health Sciences at the University of Waterloo, working under the mentorship of Professor Abel Torres Espin. His academic path includes a Bachelor of Education and a Master of Science in Computer Science from Drahomanov Ukrainian State University. There, he developed an interest in the study of student evaluation processes, combining his skills in data analysis with educational concepts. With a foundation in data science and social sciences, Vladyslav is now focused on applying his knowledge to tackle health challenges, contributing to the field of Public Health.

Collaborations

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Text and figures are licensed under Creative Commons Attribution CC BY 4.0. Source code is available at https://github.com/ATEspin/distill_ATE_blog, unless otherwise noted. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".