Hello! I’m a 3rd year at Columbia University studying computer science and mathematics. My academic interests include math, machine learning research, and quizbowl software. I also like playing chess, watching football or basketball, working out, and listening to music.
My current research focus is applying machine learning to the sciences. Previously, I was part of an ongoing research project at Columbia University, studying how we can use machine learning for preeclampsia detection from retinal images. The work was published and presented at the 2023 International Symposium on Biomedical Imaging (ISBI) here.
Previously, I worked as an intern at Oak Ridge National Lab, using autoencoders to compress neutron spectroscopy data for direct prediction. I presented my results in a poster that you can view here. My work resulted in a publication into the Machine Learning: Science and Technology journal.
I’m interested in web development, statistical analysis, and user interface/user experience design. Check out my projects on my Github. I use the following tools:
Frameworks: ExpressJS · ReactJS · Bootstrap · Pug · Tensorflow/Keras · PyTorch
Tools/Services: VSCode · MongoDB · Heroku · Git/Github · fish shell
I was the webmaster, organizer, and question writer for the National Science Bowl League. I formerly taught Science Bowl classes through Summit Scibowl, which I cofounded and managed the website for. I created a popular Science Bowl program to calculate aggregate team and category stats.
I wrote for / helped run the following competitions: