Profile
With a PhD in STEM, I build systems that collect, manage, and convert raw data into usable information for Genes and Health. I am fortunate to work in areas that I am truly passionate about, including Data Science, data pipeline development, Machine Learning, DNN, and NLP. I strive to contribute meaningfully to projects and continuously learn and grow in these dynamic fields. I have a background in Quantitative research, Computational Physics and Mathematics.
Research
Research Interests:
Data Engineering, Machine Learning, DNN, Statistics, Natural Language Processing, Time Series Analysis
Publications
- Applications of Machine Learning in Predicting the Bridge Deck Surface Temperature, Link: https://ieeexplore.ieee.org/document/10292465
- Numerical study of real gas effects during bubble collapse using a disequilibrium multiphase model, Link: https://www.sciencedirect.com/science/article/pii/S1350417722002711
- Prediction of shock heating during ultrasound-induced bubble collapse using real-fluid equations of state, Link: https://www.sciencedirect.com/science/article/pii/S1350417723003759