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Applied Machine Learning Engineer
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Snorkel AI
Nazanin Makkinejad is an applied machine learning engineer at Snorkel AI, where she works with enterprise data science teams to realize the benefits of data-centric AI and Snorkel Flow. Prior to her role at Snorkel AI, Nazanin was a Postdoctoral Research Fellow at Harvard Medical School (HMS) and Massachusetts General Hospital (MGH), working on the intersection of deep learning and brain image analysis. She has a Ph.D. from the Illinois Institute of Technology in Biomedical & Medical Engineering and a Master’s Degree in Electrical and Computer Engineering from The University of Illinois Chicago.
The latest from Nazanin
Blog
Adverse drug events: how to spot them with machine learning
Physician notes and other sources of unstructured data can offer insight into drugs’ negative side effects. Here’s how modern machine learning tools can help turn all that data into a useful resource.
Blog
Clinical entity classification in electronic health records
Research recap: Ontology-driven weak supervision for clinical entity classification in electronic health records (EHRs) In this post, I have summarized the research published in this academic paper, Ontology-driven weak supervision for clinical entity classification in electronic health records by Jason Fries et al. This paper was published in Nature Communications in 2021.Problem statement Electronic health records (EHR) contain a rich…
