Summary
Emily Wu is a graduate research scientist and experimentalist blending eight years of interdisciplinary experience in computational modeling, machine learning, and hands-on nanobiotechnology. At MIT she develops single-molecule quantification methods using DNA origami–nanoparticle conjugates, couples DNA chemical reaction network simulations with ML for noisy sequencing data interpretation, and explores quantum dot templating. Trained in physics (Caltech) and mechanical engineering (MIT, MS/PhD), she brings rigorous analytical skills (Python, NUPACK) alongside practical lab expertise in nanopore sequencing, AFM, electrochemical assays, and advanced imaging. Notably, her work links theoretical network perturbation approaches to real-world molecular quantification, translating simulation-driven insights into robust experimental protocols. Based in Greater Boston, she thrives at the interface of data-driven modeling and precision wet-lab engineering.
8 years of coding experience
2 years of employment as a software developer
Master's degree, Mechanical Engineering, GPA: 5.0, Master's degree, Mechanical Engineering, GPA: 5.0 at Massachusetts Institute of Technology
California Institute of Technology
English, Chinese