I'm a second-year master's student at
studying computer science.
I'm most interested in machine learning and networks.
Since spring of 2018 I've been a research assistant in the
Stanford ML Group,
where our work focuses on deep learning for healthcare.
I did my undergrad at Yale
and graduated in 2017 with degrees in math and computer science.
I previously interned at Microsoft
(summer 2017, 2016) and did math research at Yale (summer 2015).
PBT: Python implementation of
of neural networks for automatic hyperparameter optimization.
Çatalhöyük: Computer vision to help enrich the Çatalhöyük archaeological research project.
Attention Is All SQuAD Needs: RNN-free TensorFlow model for reading comprehension on the Stanford Question Answering Dataset.
Papers - Summer 2018: Collection of papers for the Stanford ML Group's
summer 2018 reading group.
Mobile applications for scoring trap and skeet on iOS.
LabelImg for DICOMs: Fork of the popular LabelImg
with added support for DICOM medical image format.
NumPy2ROI: Plug-in to overlay NumPy arrays (e.g., outputs from a neural network) onto radiologists' DICOM viewers.
ArXiver: Tools for collecting papers from arXiv.org.
ARCharts: 3D bar charts using augmented reality.
Are You The One?: Beating MTV's Are You The One? with a multi-threaded minimax solver.