High school student interested in machine learning, computational biology, and medical technology.
Developing computational methods to analyze ultrafast force-clamp spectroscopy data and identify constant-force molecular states.
Evaluating spatial transcriptomics alignment methods for temporal and developmental datasets.
Retinal screening app using computer vision for eye-disease detection.
Smart inhaler integrating sensors, spirometry, Bluetooth, and predictive analytics.
Languages: Python, Java, C++, SQL, MATLAB, JavaScript
ML/Data: PyTorch, TensorFlow, Keras, Scikit-learn, OpenCV
Tools: GitHub, Jupyter, Google Colab, Firebase, VS Code
Hardware: ESP32, Arduino, BLE, sensors
Computational biology • Medical AI • Computer vision • Biomedical signal processing • Embedded systems
