High school student passionate about machine learning and biology.
- Languages: Python, Java, R, Javascript, HTML, CSS
- Tools: Git, LINUX
A Multilingual Framework for Dysarthria: Detection, Severity Classification, Speech-to-Text, and Clean Speech Generation
We present a unified, multilingual AI framework for dysarthria, a speech disorder linked with neurological diseases. Our system implements detection, severity classification, speech restoration, automatic speech recognition, emotion recognition, and voice cloning in one pipeline. Achieving up to 97% accuracy across English, Russian, and German, the project demonstrates strong cross-lingual generalization and transfer learning, enabling accessible diagnosis and removing communication barriers.
Research Paper | Poster Presentation
Various Machine Learning Notebooks created during the MIT Beaverworks Summer Institute including, Time Series Signal Processing for Sleep State detection, Random Forest Detection of Hyperthyroidism, and Breast Cancer detection with Convolutional Neural Networks.
This project is a Java-based graphical simulation that models the spread of a custom-designed virus within a population. Using an interactive GUI, users can visualize how infections propagate over time based on configurable parameters such as infection rate, recovery rate, and population behavior.
This project applies machine learning techniques to predict Matrix Attachment Regions in the human genome. Presented at the Southern California Conference for Undergraduate Research (SCCUR), this work demonstrates how computational approaches can enhance biological research.
Upregulation of Skint3 and Skint9 in Spaceflight Mice Reveals Adaptive Skin–Immune Responses to Microgravity
Analyzed the NASA OSD-254 mouse skin dataset to study microgravity’s effects on skin-associated immune genes. Differential expression revealed strong upregulation of Skint3 and Skint9, supported by pathway enrichment showing activation of epidermal and immune response pathways. These results suggest coordinated skin–immune adaptation in microgravity and potential targets to support astronaut skin health during long-duration missions.
Exploring the function and significance of Transmembrane Protein 62 (TMEM62) using biological databases and computational tools. This project analyzes gene expression, protein structure, and evolutionary conservation through resources like NCBI, UniProt, and Ensembl to uncover potential roles in cellular processes and disease mechanisms.