Andrew Whitehead is a patent attorney who focuses on building patent portfolios that achieve business goals. At the individual patent application level, he emphasizes writing that is technically rigorous, understandable and concise. At the portfolio level, he personally manages all of the matters he is responsible for, guiding portfolio development based on long-term institutional knowledge of a client’s business as well as their competitive and legal context.
Andrew’s background in applied physics allows him to quickly conceptualize and understand all manner of new technology. Andrew's practice generally focuses on technology that crosses over between multiple technology areas. He has significant experience with physical device inventions, particularly in the medical, agricultural and optical device technology spaces, as well as inventions that leverage mathematical analysis to interpret and affect the state of systems: physical, biological, online, or otherwise. He has written numerous applications that use data science, specifically machine learning and deep learning, as a tool to achieve a real-world outcome.
Currently, Andrew is focused on technology that sits at the nexus between traditional biological and medical research and data science. He is a co-founder of a Fenwick working group that is rapidly iterating on how to improve patents written in this space to successfully navigate the shifting, modern legal landscape that has significantly impacted what subject matter is deemed eligible for patenting.
While attending law school, Andrew worked as a civil law clerk for the U.S. Attorney’s Office for the Southern District of California. Prior to attending law school, Andrew worked in applied physics laboratories at MIT, Stanford and UCSD, and also briefly worked as a software engineer.