Andrew Birnberg
About Andrew Birnberg
Andrew Birnberg is a Computational Engineer currently employed at Sana Biotechnology, Inc. in South San Francisco, California, where he has worked since 2020. He has a diverse educational background in Molecular Biology, Computer Software Engineering, and Machine Learning, and has held previous positions at Genentech and UC Berkeley.
Work at Sana Biotechnology
Andrew Birnberg has been employed at Sana Biotechnology, Inc. as a Computational Engineer since 2020. His role involves utilizing computational methods to support the company's mission in advancing cell and gene therapies. He works in South San Francisco, California, contributing to projects that aim to develop innovative solutions in biotechnology.
Previous Experience at Genentech
Prior to his current position, Andrew Birnberg worked at Genentech as a Bioinformatics Engineer from 2018 to 2020. During his two-year tenure in South San Francisco, California, he focused on bioinformatics applications, leveraging computational techniques to analyze biological data and support research initiatives.
Academic Background
Andrew Birnberg holds a Master’s Degree in Molecular Biology from the University of California, Berkeley, where he studied from 2011 to 2016. He also completed a Bachelor’s Degree in Anthropology at Reed College from 2003 to 2008. Additionally, he pursued post-baccalaureate science prerequisites in Biochemistry and Molecular Biology at New York University in 2009.
Machine Learning and Software Engineering Education
Andrew Birnberg studied Machine Learning at General Assembly, completing the program in 2015 over a period of 11 months. He also attended Holberton School, where he studied Computer Software Engineering from 2017 to 2019, achieving a degree in the field. This education has equipped him with skills in computational analysis and software development.
Research Experience at UC Berkeley
Before his industry roles, Andrew Birnberg served as a Graduate Student Researcher at the University of California, Berkeley from 2011 to 2016. His five years of research experience contributed to his expertise in molecular biology and bioinformatics, laying a strong foundation for his subsequent career in computational engineering.