MRHS Senior Presents Scientific Research at Rutgers and Brookhaven National Laboratory
Marlboro senior Emily Gao has been extremely busy, working on different scientific research.
Emily has been doing research in the area of Machine Learning/Deep Learning in two different institutes: "Deep Learning Algorithms for Ptychography in researching the structure of biomaterials and nanomaterials" at Brookhaven National Laboratory and "Mobile User Authentication using biometrics with Machine Learning/Deep Learning" at Rutgers EECS WINLAB.
She was fascinated because the two research projects were analyzed through the same Machine Learning mechanisms, but for different purposes and using different Deep Learning algorithms. For example, one explored biometrics while the other reconstructed biomaterials (such as viruses and cells). Currently, she is continuing to extend this research at the Brookhaven National Lab. In the future, she plans to integrate these Deep Learning algorithms in more complex fields.
Both projects were presented at Brookhaven National Laboratory High School Research Program and Rutgers EECS Department Summer Research Session, respectively. In addition, a paper will be published as a co-author for "Deep Learning Algorithms for Ptychography."
On top of her work with Brookhaven and Rutgers, Emily also represented Marlboro High School in the summer New Jersey Scholars Program (NJSP).
NJSP selects students across New Jersey through a rigorous application and interview process. Hosted by the Lawrenceville School, the program creates an interdisciplinary intellectual experience over five weeks of lectures and engaging small-group seminars. This past summer's theme was “The Mind and Body: The Future of Being Human.”
At the conclusion of the program, Emily produced an interdisciplinary research paper that explored the ethics and regulation of genetic engineering. In light of the rapid developments in the gene industry, the paper discusses moral implications from the perspectives of permanence, eugenics, and consent. Particularly, global regulatory models are proposed on the basis of existing policy and ethical dilemmas that arise from germline and embryonic gene therapy.