Meghana is a machine learning engineer at SigOpt with a particular focus on novel applications of deep learning across academia and industry. In particular, Meghana explores the impact of hyperparameter optimization and other techniques on model performance and evangelizes these practical lessons for the broader machine learning community. Prior to SigOpt, she worked in biotech, employing natural language processing to mine and classify biomedical literature. She holds a BS degree in Bioengineering from UC Berkeley. When she’s not reading papers, developing models/tools, or trying to explain complicated topics, she enjoys doing yoga, traveling, and hunting for the perfect chai latte.