ÂÜÀòÂÒÂ×

Alireza Nabavizadeh has a diverse background in machine learning and biomedical research. Alireza began their career at Mayo Clinic in 2010, where they worked as a Research Assistant, focusing on developing a non-invasive method called Loss Angle Mapping (LAM) for differentiating between benign and malignant breast tumors. During this time, they also designed a medical device for applying force excitation and monitoring tissue response.

In 2016, Nabavizadeh joined Columbia University as a Postdoctoral Research Scientist. Here, they developed a non-invasive quantitative method called Harmonic Motion Elastography (HME) for accurately staging pancreatic tumors and improving surgical treatment outcomes. Alireza also worked on a current project applying computer vision to analyze tumor response to therapy.

In 2020, Nabavizadeh worked as a Machine Learning Researcher at iHealthScreen Inc, further expanding their expertise in machine learning applications.

Currently, they hold the position of Principal Machine Learning Scientist at NovoDynamics, Inc. since June 2023. Their role prior to this was as a Machine Learning Scientist at the same company, starting in February 2021.

Overall, Alireza Nabavizadeh has a strong background in machine learning and biomedical research, with a focus on developing non-invasive methods for tumor analysis and medical device design.

Alireza Nabavizadeh's education history begins with a Master of Science degree in Biomedical Engineering / Biomedical Imaging from Chalmers University of Technology, which they obtained from 2009 to 2011. Alireza then pursued further studies at the University of Minnesota, where they completed their Doctor of Philosophy (PhD) in Biomedical/Medical Engineering from 2011 to 2016. Later on, they attended Columbia University as a postdoctoral research scientist from 2016 to 2020, although the specific field of study for this role is not known.