Cambridge, Massachusetts, United States
I am an MEng student at MIT interested in conducting computational research in a biological context. I am excited to learn more about machine learning and data science's applications to solving medical problems, from drug discovery to cancer transcriptomics. Besides the life sciences, I am curious to learn more about applying data science in other fields and industries. Outside academics, I am active in student journalism and education outreach.
Training and evaluating sparse autoencoders for histopathology foundation models
Advise editors in the managing board, editor-at-large
- Wrote 180+ articles to date across many departments (News, Arts, Campus Life) - Reported on MIT administration, student life, academics, and metro news
Assisted the Publisher and Editor-in-Chief with administrative, logistical, and editing duties
Use various Python libraries to conduct computational/statistical analysis and data visualization on over 1,300 whole slide images across 5 different cancers to map the tumor spatial assembly in GI cancer.
Pretrained and fine tuned machine learning model to improve codon optimization for enhanced protein production, expanded the model’s dataset by adding critical organisms
Derived equations, wrote methods/unit tests in Python to increase the accuracy of Amgen’s simulation library for predicting product yield in bioreactors