Deep Learning Researcher

• Jan 2021 - Present

Working in Professor Andrew Ng’s lab to develop a deep learning model on physiologic monitoring data to compute patients’ probability of myocardial injury and stratify patients based on risk of heart attack. Using transfer learning to build an ECG classification model and exceed the predictive accuracy of ED physicians. Paper accepted to the Journal of the American Medical Informatics Association.https://doi.org/10.1093/jamia/ocac135

Machine Learning Research Intern

• Apr 2021 - Present

Collaborating with Stanford Robotics and NLP Group to enhance assistive teleoperation by learning latent actions through conditional autoencoders, which provide a low-dimensional embedding of high-dimensional robot behavior. Developing an adaptive real-world robotic manipulation system that effectively handles streaming language corrections. Presented paper at the Natural Language Supervision workshop at the ACL conference.

Machine Learning Research Intern

• May 2018 - Present

Developing an open-source platform to promote effective food allergy management by monitoring patients' dietary intake and allergy symptoms through voice recognition. Building a machine learning pipeline to recognize food and nutrient consumption among 100+ allergy patients at Stanford’s Allergy and Asthma Research Center. Developing an open-source platform to promote effective food allergy management by monitoring patients' dietary intake and allergy symptoms through voice recognition. Building a machine learning pipeline to recognize food and nutrient consumption among 100+ allergy patients at Stanford’s Allergy and Asthma Research Center.

Section Leader

• Aug 2021 - Present

Hold weekly sections and discussions to review concepts and prepare students for Computer Science exams. Primarily focus on teaching Python, Data Structures, and Algorithms. Grade students’ programming assignments and exams and aid students with weekly practice problems. Hold weekly sections and discussions to review concepts and prepare students for Computer Science exams. Primarily focus on teaching Python, Data Structures, and Algorithms. Grade students’ programming assignments and exams and aid students with weekly practice problems.

Deep Learning Autonomous Vehicles Intern

• Jun 2022 - Sep 2022

Cofounder

• Jul 2016 - Jun 2020

Helped found educational nonprofit to prepare students for contests such as American Mathematics Competitions and USA Computing Olympiad. Developed curriculum and held weekly math and CS teaching sessions. Website: http://www.caltutors.org/ Helped found educational nonprofit to prepare students for contests such as American Mathematics Competitions and USA Computing Olympiad. Developed curriculum and held weekly math and CS teaching sessions. Website: http://www.caltutors.org/

Research Intern

• Jun 2019 - Aug 2019

Developed neural networks to speed up computer system design optimization. Used TensorFlow to build a regression model that makes accurate predictions for maximum temperature and inter-chiplet wirelength of any 2.5D-integrated system, which enables faster optimization to design better computing systems. Developed neural networks to speed up computer system design optimization. Used TensorFlow to build a regression model that makes accurate predictions for maximum temperature and inter-chiplet wirelength of any 2.5D-integrated system, which enables faster optimization to design better computing systems.