Funded by NASA. Assessed lunar regolith simulant toxicity on human lung cells.
Research Intern
Stony Brook University
Jun 2020 - Aug 2020(3 months)
Funded by NASA. Assessed lunar regolith simulant toxicity on human lung cells.
AI Researcher
CedarsSinai
May 2020 - Mar 2021(11 months)
Clinical error in workflow assessment.
Paid Research Intern
Stanford University School of Medicine
May 2020 - Sep 2020(5 months)
AI/NLP algorithms to evaluate IBD treatments.
Lead Developer
Stanford University School of Medicine
Feb 2020 - Jun 2021(1 year 5 months)
Developed opioid overdose prevention mobile app w/ the US Department of Veterans Affairs.
Lead Developer
Stanford Health Care
Feb 2020 - Jun 2021(1 year 5 months)
Developed opioid overdose prevention mobile app w/ the US Department of Veterans Affairs.
Research Intern
Stanford University
Sep 2019 - Apr 2020(8 months)
Neuron cell segmentation with an AI interface.
Education
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Mission San Jose High School
Mission San Jose High School
Bachelor of Science - BS, Computer Science
UC Santa Barbara
Projects (professional or personal)
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Awards
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National AP Scholar
Collegeboard
Jul 2021
BioGeneius Bay Area Finalist
Amgen
Apr 2021
Top 28 researchers in the Bay Area BioGeneius regional competition for my poster entitled "Quantifying Model Variation in Assessing Cardiac Function using Machine Learning"
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Finalist in Conrad Challenge Spirit of Innovation Global Innovation Summit (Top 5 in the World)
Conrad Challenge Spirit
Mar 2021
Selected as the Top 5 teams in the entire world for the Conrad Challenge competition and invited to attend the Global Innovation Summit for an invention involving the use of wearable devices in treating those with Alzheimer's and other neurodegenerative diseases through deep learning and imaging algorithms
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International Science and Engineering Fair (ISEF) Finalist
Regeneron ISEF
Mar 2021
Selected as a finalist for the Regeneron International Science and Engineering Fair (ISEF) for my project entitled "Quantifying Model Variation in Assessing Cardiac Function using Machine Learning"
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JSHS Top 12 - Regional Finalist
Junior Science and Humanities Symposium
Feb 2021
Awarded as the top 12 researchers in the Northern California Junior Science and Humanities Symposium
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USACO Gold
USACO
Mar 2020
Reached the Gold division for the United States of America Computing Olympiad (USACO)
Diamond Challenge Semifinalist
Diamond Challenge
Feb 2020
Qualified as a semifinalist at the Diamond Challenge competition for my project entitled "A Novel Approach for Generating Diagnoses using Natural Language Processing Algorithms for Speech Disorders and a Modern Use of Voice Assistant Systems for Stuttering and Rhotacism Therapy"
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2nd Place at the District-17 Congressional App Challenge
Congressman Ro Khanna
Dec 2019
Awarded the runner-up in the District-17 Congressional App Challenge for a mobile app that provides a community for food to be distributed in a seamless and effective matter to the needy
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Research Honors
- Top 35 Abstracts at the American Society of Echocardiography for my work involving quantifying variation in assessing ejection fraction in diagnosing heart failure - Manuscript accepted at the largest cardiology journal (JAMA Cardiology) for work entitled "Systematic Quantification of Sources of Variation in Ejection Fraction Calculation Using Deep Learning" - Accepted to the Pacific Symposium on Biocomputing organized by Stanford University for work entitled "Interpretable Deep Learning Prediction of 3D Assessment of Cardiac Function - Presented at the Association for Computing Machinery (ACM) for work involving identifying deafness in horses using the analysis of the SW-5 gene - Presented at IEEE MIT Undergraduate Research and Technolog
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Hackathon Awards
Won awards/prizes at over 10+ hackathons in the Bay Area
Publications
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Systematic Quantification of Sources of Variation in Ejection Fraction Calculation Using Deep Learning
JAMA Cardiology
Nov 2021
- An automated deep learning pipeline that diagnoses heart failure and assesses cardiac function with the quantification of ejection fraction variance
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Development of a Population-Level, Smartphone or Wearable Surveillance App to Identify Patients at High-Risk for Persist
- Novel mobile app that provides optimal surveys for patients to prevent postoperative opioid disorders
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Interpretable Deep Learning Prediction of 3D Assessment of Cardiac Function
- Quantifying ejection fraction using a 3D interpretation of the heart using deep learning
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Inflammatory Bowel Disease and Dietary Interventions: Natural Language Processing Analysis of Social Media Discourse
- Using NLP to understand patient sentiment on various diets for postoperative colonoscopy treatment
Application Of Neural Networks For Classification Of Deaf Horses
ACM
An Adaptive Utilization Of Convolutional Matrix Methods On Neuron Cell Segmentation With An Application Interface To Aid
IEEE
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Toxicity Provoked by Exposure of Human Lung Cells to Lunar Regolith Simulants
AGU
- Presented at the largest Earth and Space Science conference in the world at the winter conference
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Hand Grip Pressure Visualization for Task Assistance