Planning to work on the Devices + Surface Pro team, focusing on data-driven solutions and predictive analytics.
Data Science Intern, University of California San Francisco - Summer 2024
Conducted advanced data analysis using Python (Pandas, NumPy) and R (Seurat), focusing on single-cell RNAseq, lineage tracing, and CNV analysis.
Applied machine learning techniques such as supervised learning, unsupervised learning, and dimensionality reduction (PCA, t-SNE), enhancing model performance by 25%.
Innovated in Spatial Computing/Extended Reality (XR) using Unity3D and C#, integrating deep neural networks with PyTorch to enhance AR/VR/MR user experiences.
Developed a VR-based healthcare solution utilizing Oculus SDK, reducing geographical barriers by 60% and integrating seamlessly with telehealth platforms.
Software Engineering Research Assistant, Fox Lab, NYU - Spring 2024
Analyzed data from 1,200 participants for an interdisciplinary study on trauma-aggression reciprocity using VADER sentiment analysis and machine learning on 500+ hours of recordings.
Software & Data Engineering Intern, University of California Davis - Fall 2023
Developed predictive models using Python (scikit-learn) to analyze food choice histories of 500 geriatric rhesus macaque monkeys, achieving 80% accuracy.
ML Researcher, American College of Cardiology - Fall 2023
Implemented machine learning (Random Forest Classifier) to analyze over 10,000 patient records, improving heart disease diagnosis speed and precision by 30%.
Data Science Intern, National Center of Adaptive Neurotechnology - Summer 2023
Conducted comprehensive data analysis using R, SQL, and Python, contributing to neurotechnological research involving datasets exceeding 500GB.
