PhD & Postdoc

Aiden Chen

Computational Biology · Massachusetts Institute of Technology

Aiden Chen is a PhD candidate in Computational Biology at MIT, supervised by Prof. Ernest Fraenkel. His thesis develops graph neural network architectures to integrate multi-omics data — genomics, transcriptomics and proteomics — identifying robust cancer biomarkers from heterogeneous clinical datasets. Aiden has developed open-source Python libraries now used by research groups at Harvard Medical School and Dana-Farber Cancer Institute. Eight peer-reviewed publications include first-author papers in Nature Methods. He completed a research rotation at the Genentech bioinformatics division and holds co-applicant status on an NIH Phase I SBIR grant targeting clinical diagnostics. Pharmaceutical and biotech data science teams have expressed active recruitment interest.

Thesis Topic

Graph neural networks for multi-omics integration in cancer biomarker discovery

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