Kevin Yang

Kevin Yang is a highly accomplished researcher and scientist in the field of computational biology and machine learning. Here are the key details about his background and career:

Education and Early Career

Kevin Yang holds a Ph.D. from the California Institute of Technology (Caltech), where he focused on using machine learning and computational methods to solve complex problems in protein engineering.2 Prior to his graduate studies, he worked as a physics and math teacher at Animo Inglewood Charter High School.2

Professional Experience

After completing his Ph.D., Kevin's career has progressed through several notable positions:

Machine Learning Scientist:: He worked at Generate Biomedicines, Inc. from January 2019 to April 2020.2

Senior Researcher:: Currently, Kevin is a senior researcher at Microsoft Research New England, a position he has held since April 2020.2 In this role, he likely continues his work at the intersection of machine learning and computational biology.

Senior Research Associate:: While not explicitly mentioned in the provided search results, the query indicates that Kevin Yang has also worked as a Senior Research Associate at ReNAgade Therapeutics.

Research Focus and Contributions

Kevin Yang's research primarily revolves around:

1. Machine learning applications in protein engineering1
2. Computational biology1
3. Protein sequence design using deep generative models1

He has made significant contributions to the field, as evidenced by his numerous publications in prestigious journals. Some of his notable works include:

• "Machine-learning-guided directed evolution for protein engineering" (Nature Methods, 2019)1
• "Learned protein embeddings for machine learning" (Bioinformatics, 2018)1
• "Machine learning-guided channelrhodopsin engineering" (Nature Methods, 2019)1

Skills and Expertise

Based on his research and professional experience, Kevin Yang possesses expertise in:

• Machine learning algorithms and applications
• Computational biology
• Protein engineering and design
• Deep learning and neural networks
• Data analysis and visualization

Kevin Yang's work bridges the gap between advanced computational techniques and biological applications, contributing to advancements in protein engineering and therapeutic development.