I'm Ekansh Mittal

Designed machine learning pipeline to predicted drug response in Breast Cancer Patients with 93% accuracy, and identify key genes responsible for drug resistance. Invented a novel 3D spheroid culture method to validate results in wet lab.

Implemented sequential reinforcement learning model to trade in real-time based on economic sentiment. Evaluated model's performance using Sharpe Ratio and Maximum Drawdown metrics.

Trained LSTM model to predict Blood Glucose in mice to further understanding of physiology of glycemic variation in diabetes. Identified key drivers of regulation of blood glucose levels.

Developed a novel microfluidic Device to coculture bacteria and cancer cells. Identified microbial signatures and key drivers of regulation of cancer cell growth. Patent Pending.