Amir Emadzadeh, Director of Data Science at Genentech, talks about the massive impact natural language processing and generative AI will have on the healthcare industry. We speak specifically about different use cases in life sciences to accelerate drug discovery and getting better treatments to patients.

Amir's Bio

Amir Emadzadeh holds a PhD in Electrical Engineering from the University of California at Los Angeles (UCLA). Over his 13 years of work experience, he has been granted an equal number of patents while at top Silicon Valley companies, including Qualcomm, Nvidia, and Google (Waymo). He is a Director of software in the Digital Transformation Office (DTO) at Genentech (Roche). He is also an adjunct Professor at California Science and Technology University (CSTU). Most recently, he was a Director of data science at Gilead sciences, where he led a team of data scientists and software developers dedicated to improving different aspects of clinical trials. Amir is very passionate about employing AI/ML techniques and automation to tackle pharma/healthcare industry challenges. Some of his recent work includes data-driven feasibility analysis for clinical trials (e.g., clinical trial site/investigator ranking, country assessment, diversity analysis & patient enrollment forecasting), extracting insights from clinical trial documents and sentiment analysis using NLP technology, and medical image segmentation/classification using deep neural networks.

Find Amir on: LinkedIn: https://www.linkedin.com/in/amiremadzadeh/