Research staff under Prof. Akshay Chaudhari's lab, working on applying computer vision to medical imaging and biomechanics.

Design and develop systems to enable human-level understanding of indoor environments on a robot using Computer Vision, Machine Learning, and Deep Learning.- Developed audio keyword detection on autonomous robots under high noise conditions- Compressed ONNX deep learning models onto portable microcontrollers

Course Assistant for Profs. Moses Charikar, Tengyu Ma, and Christopher RéTasks include giving TA lectures, grading, writing exam problems, and holding office hoursCo-led lecture on critiques of artificial intelligence

Research assistant in Andrew Ng's Deep Learning research group, working on applying ML to healthcare.Medical Imaging- Utilized NLP algorithms to extract clinical labels from radiology reports- Developed CNN computer vision models that achieve near-radiologist accuracy in pathology classification- Publicly released 200K+ chest X-ray image dataset (CheXPert)- Published and presented at top CS conference (AAAI 2019)Healthcare Informatics- Designed an efficient data processing pipeline for 80 million patient records- Utilized gradient boosting trees to model 30-day hospital readmission risk- Applied causal inference to estimate cost/benefits of various risk stratification models- Published novel statistical framework for utility estimation in a top bioinformatics journal (JBI, 2020)